Skip to main content

Python driver for MongoDB <http://www.mongodb.org>

Project description

Info:

See the mongo site for more information. See GitHub for the latest source.

Documentation:

Available at pymongo.readthedocs.io

Author:

The MongoDB Python Team

About

The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.

PyMongo supports MongoDB 3.6, 4.0, 4.2, 4.4, and 5.0.

Support / Feedback

For issues with, questions about, or feedback for PyMongo, please look into our support channels. Please do not email any of the PyMongo developers directly with issues or questions - you’re more likely to get an answer on the MongoDB Community Forums.

Bugs / Feature Requests

Think you’ve found a bug? Want to see a new feature in PyMongo? Please open a case in our issue management tool, JIRA:

Bug reports in JIRA for all driver projects (i.e. PYTHON, CSHARP, JAVA) and the Core Server (i.e. SERVER) project are public.

How To Ask For Help

Please include all of the following information when opening an issue:

  • Detailed steps to reproduce the problem, including full traceback, if possible.

  • The exact python version used, with patch level:

    $ python -c "import sys; print(sys.version)"
  • The exact version of PyMongo used, with patch level:

    $ python -c "import pymongo; print(pymongo.version); print(pymongo.has_c())"
  • The operating system and version (e.g. Windows 7, OSX 10.8, …)

  • Web framework or asynchronous network library used, if any, with version (e.g. Django 1.7, mod_wsgi 4.3.0, gevent 1.0.1, Tornado 4.0.2, …)

Security Vulnerabilities

If you’ve identified a security vulnerability in a driver or any other MongoDB project, please report it according to the instructions here.

Installation

PyMongo can be installed with pip:

$ python -m pip install pymongo

Or easy_install from setuptools:

$ python -m easy_install pymongo

You can also download the project source and do:

$ python setup.py install

Do not install the “bson” package from pypi. PyMongo comes with its own bson package; doing “easy_install bson” installs a third-party package that is incompatible with PyMongo.

Dependencies

PyMongo supports CPython 3.6.2+ and PyPy3.6+.

Optional dependencies:

GSSAPI authentication requires pykerberos on Unix or WinKerberos on Windows. The correct dependency can be installed automatically along with PyMongo:

$ python -m pip install "pymongo[gssapi]"

MONGODB-AWS authentication requires pymongo-auth-aws:

$ python -m pip install "pymongo[aws]"

Support for mongodb+srv:// URIs requires dnspython:

$ python -m pip install "pymongo[srv]"

OCSP (Online Certificate Status Protocol) requires PyOpenSSL, requests, service_identity and may require certifi:

$ python -m pip install "pymongo[ocsp]"

Wire protocol compression with snappy requires python-snappy:

$ python -m pip install "pymongo[snappy]"

Wire protocol compression with zstandard requires zstandard:

$ python -m pip install "pymongo[zstd]"

Client-Side Field Level Encryption requires pymongocrypt:

$ python -m pip install "pymongo[encryption]"

You can install all dependencies automatically with the following command:

$ python -m pip install "pymongo[gssapi,aws,ocsp,snappy,srv,tls,zstd,encryption]"

Additional dependencies are:

  • (to generate documentation) sphinx

Examples

Here’s a basic example (for more see the examples section of the docs):

>>> import pymongo
>>> client = pymongo.MongoClient("localhost", 27017)
>>> db = client.test
>>> db.name
'test'
>>> db.my_collection
Collection(Database(MongoClient('localhost', 27017), 'test'), 'my_collection')
>>> db.my_collection.insert_one({"x": 10}).inserted_id
ObjectId('4aba15ebe23f6b53b0000000')
>>> db.my_collection.insert_one({"x": 8}).inserted_id
ObjectId('4aba160ee23f6b543e000000')
>>> db.my_collection.insert_one({"x": 11}).inserted_id
ObjectId('4aba160ee23f6b543e000002')
>>> db.my_collection.find_one()
{'x': 10, '_id': ObjectId('4aba15ebe23f6b53b0000000')}
>>> for item in db.my_collection.find():
...     print(item["x"])
...
10
8
11
>>> db.my_collection.create_index("x")
'x_1'
>>> for item in db.my_collection.find().sort("x", pymongo.ASCENDING):
...     print(item["x"])
...
8
10
11
>>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)]
[8, 11]

Documentation

Documentation is available at pymongo.readthedocs.io.

To build the documentation, you will need to install sphinx. Documentation can be generated by running python setup.py doc. Generated documentation can be found in the doc/build/html/ directory.

Testing

The easiest way to run the tests is to run python setup.py test in the root of the distribution.

To verify that PyMongo works with Gevent’s monkey-patching:

$ python green_framework_test.py gevent

Or with Eventlet’s:

$ python green_framework_test.py eventlet

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymongo-4.1.1.tar.gz (776.3 kB view details)

Uploaded Source

Built Distributions

pymongo-4.1.1-cp310-cp310-win_amd64.whl (365.3 kB view details)

Uploaded CPython 3.10 Windows x86-64

pymongo-4.1.1-cp310-cp310-win32.whl (362.5 kB view details)

Uploaded CPython 3.10 Windows x86

pymongo-4.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (471.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymongo-4.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (475.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pymongo-4.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (478.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (473.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pymongo-4.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (465.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp310-cp310-manylinux2014_x86_64.whl (489.2 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-manylinux2014_s390x.whl (490.8 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-manylinux2014_ppc64le.whl (495.2 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-manylinux2014_i686.whl (483.8 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-manylinux2014_aarch64.whl (489.4 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-manylinux1_i686.whl (483.8 kB view details)

Uploaded CPython 3.10

pymongo-4.1.1-cp310-cp310-macosx_10_9_universal2.whl (364.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

pymongo-4.1.1-cp39-cp39-win_amd64.whl (365.3 kB view details)

Uploaded CPython 3.9 Windows x86-64

pymongo-4.1.1-cp39-cp39-win32.whl (362.4 kB view details)

Uploaded CPython 3.9 Windows x86

pymongo-4.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (471.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymongo-4.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (474.5 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pymongo-4.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (478.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (472.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pymongo-4.1.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (464.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (459.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (464.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp39-cp39-manylinux2014_x86_64.whl (488.6 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux2014_s390x.whl (490.2 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux2014_ppc64le.whl (494.7 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux2014_i686.whl (483.0 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux2014_aarch64.whl (488.7 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux1_x86_64.whl (464.1 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-manylinux1_i686.whl (483.0 kB view details)

Uploaded CPython 3.9

pymongo-4.1.1-cp39-cp39-macosx_10_9_x86_64.whl (364.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pymongo-4.1.1-cp38-cp38-win_amd64.whl (365.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

pymongo-4.1.1-cp38-cp38-win32.whl (362.3 kB view details)

Uploaded CPython 3.8 Windows x86

pymongo-4.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (480.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymongo-4.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (483.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pymongo-4.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (487.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (481.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pymongo-4.1.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (481.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (473.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (472.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp38-cp38-manylinux2014_x86_64.whl (498.5 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux2014_s390x.whl (500.3 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux2014_ppc64le.whl (504.6 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux2014_i686.whl (490.6 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux2014_aarch64.whl (498.9 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux1_x86_64.whl (481.3 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-manylinux1_i686.whl (490.6 kB view details)

Uploaded CPython 3.8

pymongo-4.1.1-cp38-cp38-macosx_10_9_x86_64.whl (365.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pymongo-4.1.1-cp37-cp37m-win_amd64.whl (365.1 kB view details)

Uploaded CPython 3.7m Windows x86-64

pymongo-4.1.1-cp37-cp37m-win32.whl (361.9 kB view details)

Uploaded CPython 3.7m Windows x86

pymongo-4.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (464.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

pymongo-4.1.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (467.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pymongo-4.1.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (471.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pymongo-4.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (464.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pymongo-4.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (465.8 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (458.4 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (457.7 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp37-cp37m-manylinux2014_x86_64.whl (481.4 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux2014_s390x.whl (482.6 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux2014_ppc64le.whl (488.2 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux2014_i686.whl (474.7 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux2014_aarch64.whl (480.9 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux1_x86_64.whl (465.5 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-manylinux1_i686.whl (474.7 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.1-cp37-cp37m-macosx_10_6_intel.whl (394.0 kB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

pymongo-4.1.1-cp36-cp36m-win_amd64.whl (368.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

pymongo-4.1.1-cp36-cp36m-win32.whl (363.2 kB view details)

Uploaded CPython 3.6m Windows x86

pymongo-4.1.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (462.9 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

pymongo-4.1.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl (466.3 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ s390x

pymongo-4.1.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (470.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ppc64le

pymongo-4.1.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (463.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

pymongo-4.1.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (464.8 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ x86-64

pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl (457.6 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (456.8 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.1-cp36-cp36m-manylinux2014_x86_64.whl (479.8 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux2014_s390x.whl (481.3 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux2014_ppc64le.whl (486.8 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux2014_i686.whl (473.1 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux2014_aarch64.whl (479.4 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux1_x86_64.whl (464.3 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-manylinux1_i686.whl (473.1 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.1-cp36-cp36m-macosx_10_6_intel.whl (391.6 kB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

File details

Details for the file pymongo-4.1.1.tar.gz.

File metadata

  • Download URL: pymongo-4.1.1.tar.gz
  • Upload date:
  • Size: 776.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1.tar.gz
Algorithm Hash digest
SHA256 d7b8f25c9b0043cbaf77b8b895814e33e7a3c807a097377c07e1bd49946030d5
MD5 f3463226e7b6455b6124bfa8bab306c7
BLAKE2b-256 195cef2753159dfb4e5879e2b091412186f66faae01ce8151761617138c28c91

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 365.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e13ddfe2ead9540e8773cae098f54c5206d6fcef64846a3e5042db47fc3a41ed
MD5 ec127059565c8c5fe8667345d50741c7
BLAKE2b-256 d03b6db017c20a4dcbdd6397c4ca98a5f16e1d52cb3d0c708f449f571f9e3d4d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 362.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 f9405c02af86850e0a8a8ba777b7e7609e0d07bff46adc4f78892cc2d5456018
MD5 c8121d3b5cd0b20f9a8efae8112112ba
BLAKE2b-256 df61f236604a3365ed8aa42f722c2c22e030136cc386ae8a149b4cfc216e32a9

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a938d4d5b530f8ea988afb80817209eabc150c53b8c7af79d40080313a35e470
MD5 79d4bc7bddb12cc240593875c400db90
BLAKE2b-256 8a17de9e5a47c72f1246ddfbc54479e1887689b151bb1b52c8f26c08ee85468a

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 56b856a459762a3c052987e28ed2bd4b874f0be6671d2cc4f74c4891f47f997a
MD5 e6241c48db3206fed039570ef0c7eb41
BLAKE2b-256 abe4a31698cd9c8be9a891a95b4009ecc6f025fc9110fae2b68ab79214f993d9

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a1417cb339a367a5dfd0e50193a1c0e87e31325547a0e7624ee4ff414c0b53b3
MD5 a5e82c836b07d538df10f147ef86a367
BLAKE2b-256 cf8cc3840c1c4c7d14de7028dcc2434b95ba2ae0cd1504b0ada9196b3aa0ebad

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 89f32d8450e15b0c11efdc81e2704d68c502c889d48415a50add9fa031144f75
MD5 1f0997fabdf7101abbd1080329841072
BLAKE2b-256 b43356ac0bc2e3bdb71f6f86fead7231bcca83e7fbdea614ee0bca8ead224070

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c604831daf2e7e5979ecd97a90cb8c4a7bae208ff45bc792e32eae09c3281afb
MD5 ee72e2a9b664db8d6b63bf7b084c5c88
BLAKE2b-256 ffcecb64738496eaa3b608234e94536a6d860653188c14cd847cb10c9bc409ef

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c575f9499e5f540e034ff87bef894f031ae613a98b0d1d3afcc1f482527d5f1c
MD5 2069598b9e4570d80dc26c66970d386c
BLAKE2b-256 f25ebab4964a31d2bd93a1750aab43337635018c4d8c94a10d9cc473daf2e8b2

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 d4ba5b4f1a0334dbe673f767f28775744e793fcb9ea57a1d72bc622c9f90e6b4
MD5 e39954f65525453b8d6d7b581ced6636
BLAKE2b-256 c45dc18ee982df6a08ad30b9ca847fa0f5b913955a0d7107160fe01da758f8ca

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 cbcac9263f500da94405cc9fc7e7a42a3ba6c2fe88b2cd7039737cba44c66889
MD5 aa463635e37cd81637919f73dc9d2a5a
BLAKE2b-256 a124de828286953db30d9cae95c99ca6d2168a57feae01d83f35a4d059634604

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 69beffb048de19f7c18617b90e38cbddfac20077b1826c27c3fe2e3ef8ac5a43
MD5 af03dc0c01d8022ca74d4497640c675d
BLAKE2b-256 5a510d688a068bcf6a497b2dbb2246a1e26eae95ccdd7da810ddc900f81b1d97

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c759e1e0333664831d8d1d6b26cf59f23f3707758f696c71f506504b33130f81
MD5 2203b6ee72a26d16200e4915bbeddd88
BLAKE2b-256 bbd1dd3254a49767c05869460aa3c815a930f1ebe214104428512e8fad3b3a15

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-manylinux1_i686.whl
Algorithm Hash digest
SHA256 7507439cd799295893b5602f438f8b6a0f483efb00720df1aa33a39102b41bcf
MD5 782070fb14043493a91c986c756ef377
BLAKE2b-256 af83eb04a0386b6c0eff0cd1d202e65054c43f5940bdaae9c7ab7b31b592db31

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 eff9818b7671a55f1ce781398607e0d8c304cd430c0581fbe15b868a7a371c27
MD5 0179678549d366f50c183ca853db76e0
BLAKE2b-256 3b7deb898dc1a65593d94d63cf08de803fb5123171705584fcfb48837cf0569b

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 365.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f0aea377b9dfc166c8fa05bb158c30ee3d53d73f0ed2fc05ba6c638d9563422f
MD5 bf45930d7ad49fdfe07b8d4221ccd380
BLAKE2b-256 8cb45ac235c9c7a3397e0530125c14194679ce838df035c39c308bc625459bb9

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 362.4 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3139c9ddee379c22a9109a0b3bf4cdb64597db2bbd3909f7a2825b47226977a4
MD5 9a5d42f53917d424dcf935a3ae1a3278
BLAKE2b-256 73abf3fef04ee4ca451f15a927312ae7c7cf276c6a0c8296a50e5bdee3cab997

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 32e785c37f6a0e844788c6085ea2c9c0c528348c22cebe91896705a92f2b1b26
MD5 dd940cc08e76cef575217941dee09bfd
BLAKE2b-256 9d4d8760aa6b66098b49b8fe65c955089650d17d60f9a9fdbf2aef82e058b73d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a4a35e83abfdac7095430e1c1476e0871e4b234e936f4a7a7631531b09a4f198
MD5 a41e969d3797ebab8e89169d812dd1c0
BLAKE2b-256 401c84c17636cda41e51c5ae51ce17fb05cffdad7475e155d94a578cd62035b4

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 7f55a602d55e8f0feafde533c69dfd29bf0e54645ab0996b605613cda6894a85
MD5 a93cb5fd765bce10b9caf9ade6058c3e
BLAKE2b-256 3e43b37eaec73f7a29c278476e1dd7355ef5b26662a2102cb9dce8f60b81c380

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 db8a9cbe965c7343feab2e2bf9a3771f303f8a7ca401dececb6ef28e06b3b18c
MD5 2e7c7d793ec31b7a76e14bfcfbba8ac3
BLAKE2b-256 7d0a2d1732d69fa8011b4a2eda34d4281c8614492bd336fb5b6bd787d9d888df

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e4956384340eec7b526149ac126c8aa11d32441cb3ce77a690cb4821d0d0635c
MD5 6c88e9b414d98f829967c83422c0957a
BLAKE2b-256 27323b47c486782e1774db63d2b50abfc564f261624e9eaa5f922715b80413bb

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d86511ef8217822fb8716460aaa1ece31fe9e8a48900e541cb35acb7c35e9e2e
MD5 cfc6386d99699bacceab9ca86241d5b9
BLAKE2b-256 fab22e1ddaaf2719988ab6196e9bd6bdf08e131c5aa0e98a91443244cccee90c

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bc62ba37bcb42e4146b853940b65a2de31c2962d2b6da9bc3ce28270d13b5c4e
MD5 47b66493b913fa9e6748cd04b31d96e0
BLAKE2b-256 56dea3df27225dd6d1da22f945f473efacb4b54b15e65eee622f7966bf260819

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4fd5c4f25d8d488ee5701c3ec786f52907dca653b47ce8709bcc2bfb0f5506ae
MD5 3646d0298181a5f4598e84ba857d27dc
BLAKE2b-256 ba246a18abe1315a5c920f764242e4036b979b0a740460ce3f6bd78d504c0625

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a35f1937b0560587d478fd2259a6d4f66cf511c9d28e90b52b183745eaa77d95
MD5 fa9207c0e7612397a6941d0af5484a24
BLAKE2b-256 ae5e2a117769a91daed30b5c2eb41757db40b82d8f349068e463d4258c7cb494

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 33a5693e8d1fbb7743b7e867d43c1095652a0c6fedddab6cefe6020bee2ca393
MD5 a8334f08962e4838b852e23500980d17
BLAKE2b-256 a3c991bdb54013c61b7a816b571543b3cdc021fe81386f8aa71d93cdf9fedb38

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 30d35a8855f328a85e5002f0908b24e500efdf8f5f78b73098995ce111baa2a9
MD5 b6401fd31564369c54959f8829304014
BLAKE2b-256 5649751f17be28370fcde11217d4a6c3a9dd7d5e62564d25f3b5ea4af58932f7

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c03eb43d15c8af58159e7561076634d565530aaacaf48cf4e070c3501e88a372
MD5 5a30c923278c035d578cf35cb626bc1a
BLAKE2b-256 c163daf06378a6847b83d9cc51f33512f0487e1deb752d2fc162fee6306448c5

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 571a3e1ef4abeb4ac719ac381f5aada664627b4ee048d9995e93b4bcd0f70601
MD5 b197df6935591899946a95bb80773272
BLAKE2b-256 b0b03dc64ebda89dea2e04602bfe67e29947d6ee6b21942f8d84a5d52bbfe61e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 f6db4f00d3baad615e99a865539391243d12b113fb628ebda1d7794ce02d5a10
MD5 8d3bf59a21598b9faf57be0a440b72fe
BLAKE2b-256 9c26995c77e14396836103ea670f4388f628b82681ef0221f4a2e64198b223ff

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fb4445e3721720c5ca14c0650f35c263b3430e6e16df9d2504618df914b3fb99
MD5 48da04fd91a5f30285569aafa7c12db3
BLAKE2b-256 20f92c038c045868baebe0cf782aea870ff490a48d514b6763508bc24d22fdf3

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 365.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e6eecd027b6ba5617ea6af3e12e20d578d8f4ad1bf51a9abe69c6fd4835ea532
MD5 e074555524b2e825d0216010b04ca081
BLAKE2b-256 836c017e0abe6ef4b8791c340f6cd61efd381bdbaffdd89fd6afddc351f941c3

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 362.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 dbe92a8808cefb284e235b8f82933d7d2e24ff929fe5d53f1fd3ca55fced4b58
MD5 ad3cf22c8ff9ad9abfb1bf745560566c
BLAKE2b-256 7769f4b312db17d2cabf556d9a2c94bd7ac505266bf6d15488920a50d79f3f0d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b8a1c766de29173ddbd316dbd75a97b19a4cf9ac45a39ad4f53426e5df1483b
MD5 ac26ee097ad2d19db914bf2355bf8545
BLAKE2b-256 7262bb5492d698cdfa847155c4020d1ebe2a77cfbb187a8c875a335dcbcf7d22

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 07f50a3b8a3afb086089abcd9ab562fb2a27b63fd7017ca13dfe7b663c8f3762
MD5 42503096fcde6b255f80a868e7585e12
BLAKE2b-256 d4b31c633f7822b3a24cff503ab8701a3caa5357f415e18b8624ffde5fec9252

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 baf7546afd27be4f96f23307d7c295497fb512875167743b14a7457b95761294
MD5 e3d899ca608f057edfba3d944f37fc34
BLAKE2b-256 528025b645af2984469dcf0516ac5a9c32f7de42b77f38612ed5655da8849321

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5cae9c935cdc53e4729920543b7d990615a115d85f32144773bc4b2b05144628
MD5 44d27b3015e6e870c4875a88d914675c
BLAKE2b-256 ff9dffb1cab1c5640eff2602808de7646926d0e7351d0b41c4ea1ce2fbbccb87

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bb21e2f35d6f09aa4a6df0c716f41e036cfcf05a98323b50294f93085ad775e9
MD5 9688e9b108634aef4c9fa859d3ec1fc5
BLAKE2b-256 9c54a2fd11ba3deb8b5a6faf433a51200cfd19d737740dc67ebed4ded5bc0fbd

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 dfb89e92746e4a1e0d091cba73d6cc1e16b4094ebdbb14c2e96a80320feb1ad7
MD5 6c564ed30dd8ba1bde3e3519e1cb235d
BLAKE2b-256 6b46ff4131117d1ca444adce75b8686db0ee4b6b65116f8ca84c1418d709f106

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a9a2c377106fe01a57bad0f703653de286d56ee5285ed36c6953535cfa11f928
MD5 0d206be90ffec2aabe35a8bf3b25fcea
BLAKE2b-256 ca36029621c3e61f6044e1729fc7ab44deb187fe52df2e8ee2e9751f3e6f0781

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 49bb36986f11da2da190a2e777a411c0a28eeb8623850091ea8099b84e3860c7
MD5 448841754c6fcaa57554abb0b50ec121
BLAKE2b-256 c577370b819fbfa2a4244e9c377bf30308614d72ae57a4c153a7a5e3d55f53a1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 9a4ea87a0401c06b687db29e2ae836b2b58480ab118cb6eea8ac2ef45a4345f8
MD5 0d9630fb69071906dee4bf8668fa3d54
BLAKE2b-256 683a3a8f25e292dc0386479999b8fb19a378cec6ddb21178940592e6892443cc

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6396f0db060db9d8751167ea08f3a77a41a71cd39236fade4409394e57b377e8
MD5 adab3e1325bec9e614c0974172183018
BLAKE2b-256 18618a9ad7c2ae614eaf47c5da3a9053cf7ebb2df8b462708ca9c32733af965e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 303d1b3da2461586379d98b344b529598c8156857285ba5bd156dab1c875d1f6
MD5 4b48457ddc18259cd58b944729efc744
BLAKE2b-256 0f2388db3ff2652e386fb4260ee53391692f85c6b809ff0e50424a3d5cfa24cf

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4e4d2babb8737d650250d0fa940ffa1b88aa92b8eb399af093734950a1eeca45
MD5 93977c706e10d662277999f90c1721a0
BLAKE2b-256 3c106043f922e9c4db5805740a0bd2a9c6a0aa7b407588c76af47cf38a5a66d2

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d06ed18917dbc7a938c4231cbbec52a7e474be270b2ef9208abb4d5a34f5ceb9
MD5 2839ffb77e94fdbc5f9daa32becf31fd
BLAKE2b-256 e808311830a68f32ee19d3313d706d93d01ecd9c3af08fe302b74bd35f938aa7

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 5d6ef3fa41f3e3be93483a77f81dea8c7ce5ed4411382a31af2b09b9ec5d9585
MD5 ff7875a830f3b8ba0dca891256895c92
BLAKE2b-256 cfd309d926b0850d29e230fdfa959d7c1140130bc02e88c060b9c5154d2b8536

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 298908478d07871dbe17e9ccd37a10a27ad3f37cc1faaf0cc4d205da3c3e8539
MD5 a919bbe954241b0e31575180edcf3603
BLAKE2b-256 3da8e722bede9e2586f81098c2b6e2549d8f2b7660df31bc921d80e3859a0133

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 365.1 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 deb83cc9f639045e2febcc8d4306d4b83893af8d895f2ed70aa342a3430b534c
MD5 9c098dd15a8de681c1cd06a9f90ee49a
BLAKE2b-256 6d9421100c3291c493a6770868e4de29945a515c8b08a2981bd6a45bc5f2eb8d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 361.9 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 0a3474e6a0df0077a44573727341df6627042df5ca61ea5373c157bb6512ccc7
MD5 be124dbe0a8513e008f88b5bd7accb70
BLAKE2b-256 129896146a59438379c8a56f2058afcf57382affd74536f3113fec9c2e1da79a

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 17df40753085ccba38a0e150001f757910d66440d9b5deced30ed4cc8b45b6f3
MD5 e3e85dc902c2e97b324b86432865ae88
BLAKE2b-256 666c7d0395443a7065ee0e82267513bbc09479470037c338222b8793a43bbf52

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 4d1cdece06156542c18b691511a01fe78a694b9fa287ffd8e15680dbf2beeed5
MD5 9fddf94507ea49af8d5f64481fe2d85e
BLAKE2b-256 647eff3f5e9d5691338341f3b06b37b6d7f51f64d097461b1bf0580f4c9dc872

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 7aa40509dd9f75c256f0a7533d5e2ccef711dbbf0d91c13ac937d21d76d71656
MD5 34fb51c5fb1e1ebd6444221c2b63cac3
BLAKE2b-256 b0f34b2a88204ca70e90d7186fbb1bb26a08152f4da9bdb89691b797a25c5213

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cf96799b3e5e2e2f6dbca015f72b28e7ae415ce8147472f89a3704a035d6336d
MD5 54c02a781d38fa74a286005300d7a674
BLAKE2b-256 b50ad4cec24df8883d0a9d7913b1c0c51fc1a2202bec1b13fc0549fdf989ffa8

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7dae2cf84a09329617b08731b95ad1fc98d50a9b40c2007e351438bd119a2f7a
MD5 b47eb52211cb0d7252dedf380e748103
BLAKE2b-256 9c8808dd5a2939c6606462ca83079ce7c52300ed03ab82cb8dc1e27b4931d836

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 52c8b7bffd2140818ade2aa28c24cfe47935a7273a3bb976d1d8fb17e716536f
MD5 0ee4ae6ff7125703a899be6d1b61e20c
BLAKE2b-256 512e999958ce809632a912c106af9c90d0e2a08edc99f112cce4f287d0c07090

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4516a5ce2beaebddc74d6e304ed520324dda99573c310ef4078284b026f81e93
MD5 846534d8a7a9c0516ee869c3dd26cbc6
BLAKE2b-256 1238e5d19ffe76fe79b216f5a46632e5f63caa646b56cea7cafdb8dc86c10172

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35d02603c2318676fca5049cdc722bb2e7a378eaccf139ad767365e0eb3bcdbe
MD5 7bf0a464d57095bbb3c343944b460c43
BLAKE2b-256 caa84d305956de8d78b62729bd509874e3fa6eac1026cc370299af91f2eff236

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 cce1b7a680653e31ff2b252f19a39f1ded578a35a96c419ddb9632c62d2af7d8
MD5 983fd70dcaa5b4bb256a2cd8bcb7bde2
BLAKE2b-256 0797444c5843f84bd80ccf0a9f615949eaba16181a55d1aac2125458f68ab567

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c481cd1af2a77f58f495f7f87c2d715c6f1179d07c1ec927cca1f7977a2d99aa
MD5 6fdb21b2eac2c1c7934bc87b4ea588b3
BLAKE2b-256 7b6c51c250aac33e9db3e32e3d5e053eeebbe28239cb380d811ee58ac2c3549d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 306336dab4537b2343e52ec34017c3051c3aee5a961fff4915ab27f7e6d9b1e9
MD5 94722b9d93bf7b475b41183054522ded
BLAKE2b-256 7d53532073b034ff35309d8b2d7c32fabec20a66de4ed459f3a8f7a3c49de0a2

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 84dc6bfeaeba98fe93fc837b12f9af4842694cdbde18083f150e80aec3de88f9
MD5 88abd7779fc42f0b00b80904137894f9
BLAKE2b-256 a42f6b8dd01404b0bb92cb496f975d003fd64087bd869e9d3941a6de11f3b110

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 86b18420f00d5977bda477369ac85e04185ef94046a04ae0d85f5a807d1a8eb4
MD5 9727547b7535a3fbc9d934ec4aa02b56
BLAKE2b-256 fabc5167dfb377f7184574a9c2601b25c149f61fcf44d9725d9647748a900706

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 8a1de8931cdad8cd12724e12a6167eef8cb478cc3ee5d2c9f4670c934f2975e1
MD5 f52b405963cdaa87370a2aeae7e35f1b
BLAKE2b-256 0010c73947274ad724a5d15d67b639bf28601fa18ee70d1d565b3e64fac0bd6f

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 c1349331fa743eed4042f9652200e60596f8beb957554acbcbb42aad4272c606
MD5 7c589beaad0c27f003f59eb4d56fb50c
BLAKE2b-256 9178d6b52e12663e0ddef1ad55d146de216df10b705436e16ed4cd64473449c7

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 368.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 08a619c92769bd7346434dfc331a3aa8dc63bee80ed0be250bb0e878c69a6f3e
MD5 7d2006c34c400640407da2f5480acebb
BLAKE2b-256 5a3aea44097623d6aeba9bbb715c0bb09de97231956cfae672f7c23ddf74db20

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: pymongo-4.1.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 363.2 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 a7d1c8830a7bc10420ceb60a256d25ab5b032a6dad12a46af6ab2e470cee9124
MD5 43d27f6278b4de38bad7d4d629aa8250
BLAKE2b-256 72247944d2c330a56652959c67e87ea8d0c1c1cd89eb82d34a54adee7777a9a6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 df9084e06efb3d59608a6a443faa9861828585579f0ae8e95f5a4dab70f1a00f
MD5 9c99ba3875a01910a86484082dd2680d
BLAKE2b-256 a6e5fb665829198cc6447f516c420d30cf90653514b7fd4656a60339e655dcb5

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7d69a3d980ecbf7238ab37b9027c87ad3b278bb3742a150fc33b5a8a9d990431
MD5 59da88185f09b3f177c8fd70b1ff0e6b
BLAKE2b-256 a5b1057f2cb320c8f8403ac1bd778cea4d8908f7a1b7980c52fb349226bbab30

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4aa4800530782f7d38aeb169476a5bc692aacc394686f0ca3866e4bb85c9aa3f
MD5 4ca67be7e81f982c137f4a72928633e7
BLAKE2b-256 dc61543c2266e36b5454c32c047f7c4fadc08be31b100cb6adaa17522b2749c4

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0f7e3872fb7b61ec574b7e04302ea03928b670df583f8691cb1df6e54cd42b19
MD5 6e6868d64160412f2f7ab5a1803498e6
BLAKE2b-256 74934ecf27a491b54611b2b6bb303df555ae16d5df6d28365ba468f1f425fd27

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 019a4c13ef1d9accd08de70247068671b116a0383adcd684f6365219f29f41cd
MD5 0edfb8fc7784bc37d25c12f4b48e4206
BLAKE2b-256 fa935a663a9193ac39eb52810cc666a58121af00ef6b9742cdb9c95f8a5aa28e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 8f106468062ac7ff03e3522a66cb7b36c662326d8eb7af1be0f30563740ff002
MD5 417363f6f6b13f2af7015a04c2f72ba9
BLAKE2b-256 e1a26c9b883be69c897221b3608dd9c9246c7dcd92006bdad6ff679fe4b88118

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 be3ba736aabf856195199208ed37459408c932940cbccd2dc9f6ff2e800b0261
MD5 78fd09ca0ed3dd5831c178af10de5dc8
BLAKE2b-256 9cc5f74ca16382d4066797ee6169ea8a36289253414c9373b0f3478cbed16048

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8357aa727094798f1d831339ecfd8b3e388c01db6015a3cbd51790cb75e39994
MD5 22585111264e3a68b539589c5be354a3
BLAKE2b-256 eb4ed9b9a00f0b32264d6ef730161d8bf2237da88ef65a3801173effa2bd26d9

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 c8a2743dd50629c0222f26c5f55975e45841d985b4b1c7a54b3f03b53de3427d
MD5 c42c5b2a407b544813b09507abff6eb3
BLAKE2b-256 fc3e1105e05c85f31eb200f51a046cde59d518ff8213570583c06d151bd3ab37

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f1fba193ab2f25849e24caa4570611aa2f80bc1c1ba791851523734b4ed69e43
MD5 736e9df6573736e86079f3fdf2323d76
BLAKE2b-256 1f00df20d16cebf32b7fea554cbfb3bcefca5761cbe3ee7fb2ef050d0ee20bb1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a0d7c6d6fbca62508ea525abd869fca78ecf68cd3bcf6ae67ec478aa37cf39c0
MD5 b6a89014233fd7d194965fef2a31e58a
BLAKE2b-256 dfd3569cafba34812618ef83d450abf36a17070a4c7c70046faab8ad0e3a6b57

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c3637cfce519560e2a2579d05eb81e912d109283b8ddc8de46f57ec20d273d92
MD5 335eb5b90bcd6b7e4eab46e3c770bd8d
BLAKE2b-256 0b2207cb6e43f3caeee346271bab2c6ba4f0113dc935e3f5071f97ad71b5e1e6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9ee1b019a4640bf39c0705ab65e934cfe6b89f1a8dc26f389fae3d7c62358d6f
MD5 7140ccfb71a20638e6a3842bad633362
BLAKE2b-256 103b46541b4ee3000019b8ef5b1847292ddc77f492c162bc4d49c424db7fc97a

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 302ac0f4825501ab0900b8f1a2bb2dc7d28f69c7f15fbc799fb26f9b9ebb1ecb
MD5 d0f0453be9ca3fedfb884a412789cbb0
BLAKE2b-256 2ccf7125ab725518eeead690d9495355cde306065bd2336a793dca948ad3c4e1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.1-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.1.1-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 7f36eacc70849d40ce86c85042ecfcbeab810691b1a3b08062ede32a2d6521ac
MD5 a0c86f5ecb0d642c0b17149914789f5b
BLAKE2b-256 60d84986c8ffcd6a16857f315508a76429d360bf6df7decb946f6c864e533a03

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page