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, 5.0, and 6.0.

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 3.7+ and PyPy3.7+.

Required dependencies:

Support for mongodb+srv:// URIs requires dnspython

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]"

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 and pymongo-auth-aws:

$ 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,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-4.3.3.tar.gz (814.2 kB view details)

Uploaded Source

Built Distributions

pymongo-4.3.3-cp311-cp311-win_amd64.whl (382.5 kB view details)

Uploaded CPython 3.11 Windows x86-64

pymongo-4.3.3-cp311-cp311-win32.whl (379.3 kB view details)

Uploaded CPython 3.11 Windows x86

pymongo-4.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (494.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pymongo-4.3.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (498.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pymongo-4.3.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (502.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pymongo-4.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (495.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pymongo-4.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (488.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.3.3-cp311-cp311-macosx_10_9_universal2.whl (413.7 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

pymongo-4.3.3-cp310-cp310-win_amd64.whl (382.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

pymongo-4.3.3-cp310-cp310-win32.whl (379.3 kB view details)

Uploaded CPython 3.10 Windows x86

pymongo-4.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (492.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymongo-4.3.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (496.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pymongo-4.3.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (500.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pymongo-4.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (493.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pymongo-4.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (486.5 kB view details)

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

pymongo-4.3.3-cp310-cp310-manylinux2014_x86_64.whl (509.7 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-manylinux2014_s390x.whl (512.1 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-manylinux2014_ppc64le.whl (516.4 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-manylinux2014_i686.whl (505.2 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-manylinux2014_aarch64.whl (509.6 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-manylinux1_i686.whl (505.2 kB view details)

Uploaded CPython 3.10

pymongo-4.3.3-cp310-cp310-macosx_10_9_universal2.whl (413.2 kB view details)

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

pymongo-4.3.3-cp39-cp39-win_amd64.whl (382.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

pymongo-4.3.3-cp39-cp39-win32.whl (379.3 kB view details)

Uploaded CPython 3.9 Windows x86

pymongo-4.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (492.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymongo-4.3.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (495.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pymongo-4.3.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (500.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pymongo-4.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (492.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pymongo-4.3.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (496.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (489.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (485.7 kB view details)

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

pymongo-4.3.3-cp39-cp39-manylinux2014_x86_64.whl (509.0 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux2014_s390x.whl (511.4 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux2014_ppc64le.whl (515.8 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux2014_i686.whl (504.4 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux2014_aarch64.whl (508.8 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux1_x86_64.whl (495.6 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-manylinux1_i686.whl (504.4 kB view details)

Uploaded CPython 3.9

pymongo-4.3.3-cp39-cp39-macosx_10_9_universal2.whl (413.2 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

pymongo-4.3.3-cp38-cp38-win_amd64.whl (382.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

pymongo-4.3.3-cp38-cp38-win32.whl (379.1 kB view details)

Uploaded CPython 3.8 Windows x86

pymongo-4.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (501.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymongo-4.3.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (505.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pymongo-4.3.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (509.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pymongo-4.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (501.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pymongo-4.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (505.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (496.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (493.8 kB view details)

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

pymongo-4.3.3-cp38-cp38-manylinux2014_x86_64.whl (519.3 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux2014_s390x.whl (522.0 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux2014_ppc64le.whl (526.4 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux2014_i686.whl (512.3 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux2014_aarch64.whl (519.0 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux1_x86_64.whl (505.1 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-manylinux1_i686.whl (512.3 kB view details)

Uploaded CPython 3.8

pymongo-4.3.3-cp38-cp38-macosx_10_9_x86_64.whl (381.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pymongo-4.3.3-cp37-cp37m-win_amd64.whl (382.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

pymongo-4.3.3-cp37-cp37m-win32.whl (378.6 kB view details)

Uploaded CPython 3.7m Windows x86

pymongo-4.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (484.5 kB view details)

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

pymongo-4.3.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (487.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pymongo-4.3.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (491.8 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pymongo-4.3.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (484.5 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pymongo-4.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (486.7 kB view details)

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

pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (478.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (477.9 kB view details)

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

pymongo-4.3.3-cp37-cp37m-manylinux2014_x86_64.whl (501.5 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux2014_s390x.whl (503.1 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux2014_ppc64le.whl (508.2 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux2014_i686.whl (495.5 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux2014_aarch64.whl (501.3 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux1_x86_64.whl (486.4 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-manylinux1_i686.whl (495.5 kB view details)

Uploaded CPython 3.7m

pymongo-4.3.3-cp37-cp37m-macosx_10_6_intel.whl (411.4 kB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

File details

Details for the file pymongo-4.3.3.tar.gz.

File metadata

  • Download URL: pymongo-4.3.3.tar.gz
  • Upload date:
  • Size: 814.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3.tar.gz
Algorithm Hash digest
SHA256 34e95ffb0a68bffbc3b437f2d1f25fc916fef3df5cdeed0992da5f42fae9b807
MD5 1f900f3e2a2757db7d91f640de4a1af3
BLAKE2b-256 9a31482f7401e7bbbeb66ab6b4ac263e2b50435f4329cce1e72378972d48f6b5

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 382.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b8a03af1ce79b902a43f5f694c4ca8d92c2a4195db0966f08f266549e2fc49bc
MD5 259556451d171bb33e253c633227a423
BLAKE2b-256 a3c6ff88fce93529c9418c80854ecaf013254ab0b1d59f8f4fa2702419352d18

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-win32.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp311-cp311-win32.whl
  • Upload date:
  • Size: 379.3 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 524d78673518dcd352a91541ecd2839c65af92dc883321c2109ef6e5cd22ef23
MD5 4a4025d631a1df3250f1674014264700
BLAKE2b-256 c4b5e2d246016d15c949736c9a4b4da4ec8e2045b661504be4b749c34188c2a5

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d3a51901066696c4af38c6c63a1f0aeffd5e282367ff475de8c191ec9609b56d
MD5 0a87e1d8da02e49afb2519211b06d7c5
BLAKE2b-256 4eca6c1cb5c69715c13312852d91cb62c175e7da58c91c428447db1a2364c646

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e7fac06a539daef4fcf5d8288d0d21b412f9b750454cd5a3cf90484665db442a
MD5 a3b552295f5c362e0ab5a81d529d04e0
BLAKE2b-256 40e3dda96a2280058e08bc0dabeddf86bd3513e601f579134f2107680585636b

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 341221e2f2866a5960e6f8610f4cbac0bb13097f3b1a289aa55aba984fc0d969
MD5 55adbbfb6b44d1041786251825d9b1ec
BLAKE2b-256 d658a39537805ca205b4b65503765ca110224a409e777c1825fd6c8108ec9fd0

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c0640b4e9d008e13956b004d1971a23377b3d45491f87082161c92efb1e6c0d6
MD5 c7b24be03e4ab027a6c4fde5123431d8
BLAKE2b-256 4bcec6c6875dc14410952d3ff2e7960fb0498b1d9e70c483e5ce788c01fad54e

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f3055510fdfdb1775bc8baa359783022f70bb553f2d46e153c094dfcb08578ff
MD5 9cb48a928c7494ea576feac2b0522b6b
BLAKE2b-256 2ff033804cfc9113e0405063f0a777d213d9c006512cb06681a258ae559b3a8c

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 599d3f6fbef31933b96e2d906b0f169b3371ff79ea6aaf6ecd76c947a3508a3d
MD5 5aee4381a5b27b77f9fe39211e118cb3
BLAKE2b-256 8b8f93649909ec1ba88fee224884884b4e10ac26c0ca00c58f1781036476d30d

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 382.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 cafa52873ae12baa512a8721afc20de67a36886baae6a5f394ddef0ce9391f91
MD5 c530e2c4159c16077a6549c8c0d7e7de
BLAKE2b-256 48b3048d832794acb914cf8cf396089a29301ee79417e18f068f38a1eace9408

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 379.3 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 dc0cff74cd36d7e1edba91baa09622c35a8a57025f2f2b7a41e3f83b1db73186
MD5 2c1625c955d68e96b248c5f132f6d3e6
BLAKE2b-256 0517185c96a98d3d91ad3cdfbc9bc91ad8bea697cfaf1b3ca314f52006f71d2b

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 be1d2ce7e269215c3ee9a215e296b7a744aff4f39233486d2c4d77f5f0c561a6
MD5 4b5b8b50688e62368b631c991027fd61
BLAKE2b-256 63c8a6e9f789cfbafc8293b5d94b0fa66b7a8854c6e74a04a74bc7585381ddd8

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a966d5304b7d90c45c404914e06bbf02c5bf7e99685c6c12f0047ef2aa837142
MD5 cc7947b8ae986d570f56c8f4908e9ed4
BLAKE2b-256 fa6abf5391534a10cfb4a2b4a9e6697f17115fc460da8041ec67835c23d2ff59

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d86c35d94b5499689354ccbc48438a79f449481ee6300f3e905748edceed78e7
MD5 e4483b86ba8182987b4393b88dc25e92
BLAKE2b-256 4f2c2da01e59e47cec96df562f0fe8ed6e1dd8b01a0ff8acd6d8ea1b59aaf82a

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cdb87309de97c63cb9a69132e1cb16be470e58cffdfbad68fdd1dc292b22a840
MD5 b085ec74e684a5c63f3b60466bcb5722
BLAKE2b-256 11a38f7b87dbb9fd496f14c596bb02487fdb44dbb58e3c39da3f0eb0199b1523

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 55b6163dac53ef1e5d834297810c178050bd0548a4136cd4e0f56402185916ca
MD5 4bb188e7a352836ca2fad7510331c161
BLAKE2b-256 3c303d7e6336cfc795655a7193d77853972c5b502f58e1992205ad1b9bd28128

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 01f7cbe88d22440b6594c955e37312d932fd632ffed1a86d0c361503ca82cc9d
MD5 889fe82b4b8a8395d4f7c49cf6361615
BLAKE2b-256 f8efbd801e889305bc48ca3210569ea613d66a52c717578a465ac2792cec709a

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 943f208840777f34312c103a2d1caab02d780c4e9be26b3714acf6c4715ba7e1
MD5 2614e709feb8f90086e581018c0bd559
BLAKE2b-256 747a140e4c739319c3ee1163aa65bc91414ddf5b3c6376af19375e2dead1fbb5

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ffcc8394123ea8d43fff8e5d000095fe7741ce3f8988366c5c919c4f5eb179d3
MD5 73f7667a52efdd62b808b8bd3c5e5311
BLAKE2b-256 637451b2ec1b760169cbb19637913b86b6851dd9a57f95fe67adb7b0d1037469

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 695939036a320f4329ccf1627edefbbb67cc7892b8222d297b0dd2313742bfee
MD5 c12a075417a873603e5844e9822d2bce
BLAKE2b-256 f387f2ccd99ea5184d9a9013acca92f3060e29253038df8003148b1a643e6165

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9b87b23570565a6ddaa9244d87811c2ee9cffb02a753c8a2da9c077283d85845
MD5 74bc1fff1a434f62e97db01e29566f69
BLAKE2b-256 49de9005f70242f651fe4758a162eedbda13c9e55713083c345574c17cf8aa8f

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-manylinux1_i686.whl
Algorithm Hash digest
SHA256 66413c50d510e5bcb0afc79880d1693a2185bcea003600ed898ada31338c004e
MD5 70d6604ac689889d3390fcde6548e9d8
BLAKE2b-256 f24a68ab4706a992fd7b01ec53a9e2138733972895b260578e544221845770dd

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 74731c9e423c93cbe791f60c27030b6af6a948cef67deca079da6cd1bb583a8e
MD5 6e2dc555c963dc55150dbee562487643
BLAKE2b-256 452f70f2e110a77dcb5490fe000aa380397968a09b8528f878aa1eadc0b11920

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 382.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fc28e8d85d392a06434e9a934908d97e2cf453d69488d2bcd0bfb881497fd975
MD5 fcc7c892a3f1e2baf6f4020794653873
BLAKE2b-256 a053f8b2099b2d8dcec0e4070455b6b7a9ea5088ee07a745b0c6a711d55a5357

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 379.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 dc24d245026a72d9b4953729d31813edd4bd4e5c13622d96e27c284942d33f24
MD5 da6ded1578c842136f44a71bc912c3e9
BLAKE2b-256 69d49cd99a5d98353b6c10595ec969c087d63a93ce60741b52463a9fcb2114ad

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1074f1a6f23e28b983c96142f2d45be03ec55d93035b471c26889a7ad2365db3
MD5 d8b4c567c9d5f9dd6788958682e3a2e2
BLAKE2b-256 3868928d7ce22719cfa255fb973b34aed6f04ac3ea89049ce69e3b092c30a60f

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 704d939656e21b073bfcddd7228b29e0e8a93dd27b54240eaafc0b9a631629a6
MD5 37642dafd41170fc5281c5847e684608
BLAKE2b-256 39973a04c850755723d64555ae29fdec2d4eafe9f2a12c22d4dc5e41e846423d

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 08fc250b5552ee97ceeae0f52d8b04f360291285fc7437f13daa516ce38fdbc6
MD5 991bf0f5383bf4ca9ad5977014baadd3
BLAKE2b-256 221868b8a63f289df40df27623c99779acd9eb6c007a4546700e676e07d7c2d6

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 eac0a143ef4f28f49670bf89cb15847eb80b375d55eba401ca2f777cd425f338
MD5 dceb085d608ce93430513205e57b5232
BLAKE2b-256 293f230c83a6be6e037f4558c9b7a2b8dc6de55ebc68662b0a13f9ff800614f7

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fd7bb378d82b88387dc10227cfd964f6273eb083e05299e9b97cbe075da12d11
MD5 aeab871c32f6610643ddd12872a420c9
BLAKE2b-256 892452d65bbb0cf038d73b49c9d1f6b251500d807ed2579aaa55cf5d788513be

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7761cacb8745093062695b11574effea69db636c2fd0a9269a1f0183712927b4
MD5 3b265547e9a26e9e635ee77bd39f22ce
BLAKE2b-256 984d4423858f2587a3c15c9b40a70e3672e0902667874f24e77e5388d848715d

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7b16250238de8dafca225647608dddc7bbb5dce3dd53b4d8e63c1cc287394c2f
MD5 bbc664b10d62166fd502bc27e2b454e4
BLAKE2b-256 979f0156a752e50cfbc767a182c80a7e94174a772a94cb72a52f2660fc373c77

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c2216d8b6a6d019c6f4b1ad55f890e5e77eb089309ffc05b6911c09349e7474
MD5 6e73c877f5c01655beee4528386c1bcc
BLAKE2b-256 81f15d56b0ffdda842298334135ac181032ee4624bc57101a538d67ba8958695

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 8a06a0c02f5606330e8f2e2f3b7949877ca7e4024fa2bff5a4506bec66c49ec7
MD5 9857591bfc04f8fb1c14575a90558597
BLAKE2b-256 7d33aa74d9e5067bdd7b68cbe54ea5cad427883131d100c20d6a31ff0625a214

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c1a70c51da9fa95bd75c167edb2eb3f3c4d27bc4ddd29e588f21649d014ec0b7
MD5 702776e964c4b1bdb422ddde24495722
BLAKE2b-256 2cc7302a0fa990e5c2e1b137b94a5dfc174437a77872990c6c05b21779fe9502

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b38a96b3eed8edc515b38257f03216f382c4389d022a8834667e2bc63c0c0c31
MD5 1246bd5891127a08ae1b690064f15c6e
BLAKE2b-256 8137c5c765526adb3f452ea4033d5d4e960514d53857b32c85fc2dfcac7aad86

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e2961b05f9c04a53da8bfc72f1910b6aec7205fcf3ac9c036d24619979bbee4b
MD5 6075550f56eebfae93f826c32d65d01d
BLAKE2b-256 0e8f1009913e8ad51390966811e0163ed6df2dfa43a6f632ac35f53e51b2321b

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8fd6e191b92a10310f5a6cfe10d6f839d79d192fb02480bda325286bd1c7b385
MD5 5f99d81721e7629f86c210f256a70a47
BLAKE2b-256 602f6b18e099cfabf8fbe86ec201f53afa73a8b80e2e9dcbdef52429492d236e

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 016c412118e1c23fef3a1eada4f83ae6e8844fd91986b2e066fc1b0013cdd9ae
MD5 ffdd817d19590bbd35384bbbf836c915
BLAKE2b-256 3922e5acdce322f6aed2c6b06b8afae19c0fdf01031db1f7dbaeb34df60396c1

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 81d1a7303bd02ca1c5be4aacd4db73593f573ba8e0c543c04c6da6275fd7a47e
MD5 058941b65108a19014d9cb61cafc9bfe
BLAKE2b-256 2ed8d35fcd7fd6d9b55ab6b317182884938d34c64c91dce9ff5cf3548ca5cd30

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 382.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d5571b6978750601f783cea07fb6b666837010ca57e5cefa389c1d456f6222e2
MD5 df370c3b95b06b091f659c440b3973cd
BLAKE2b-256 630eac6759051f18adf5506fe0c458bc12d03d9e94d2dc83087b21dc21888154

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 379.1 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a6cd6f1db75eb07332bd3710f58f5fce4967eadbf751bad653842750a61bda62
MD5 9fb6cd0d04e2fd9e08377100c1789c72
BLAKE2b-256 f4d63088b63536c74c4e9cf687916712843e7d4abfc981eca3e264ec801372af

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 52896e22115c97f1c829db32aa2760b0d61839cfe08b168c2b1d82f31dbc5f55
MD5 cee0df14581a55bc0d9a6f2803aa535f
BLAKE2b-256 a98c5ae0d794ff1771dd2a298f1a7d0889455a65874a98120171a002c8cb741a

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 fa7e202feb683dad74f00dea066690448d0cfa310f8a277db06ec8eb466601b5
MD5 73b9532bd005a3d852da2a4865c2f9de
BLAKE2b-256 e7e1e2c577333ee346b411db65d9f62c746eca8b1062c55afdb5d2fb8ebc23fe

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 316498b642c00401370b2156b5233b256f9b33799e0a8d9d0b8a7da217a20fca
MD5 212006df47d5868e4b2abe8ad2fc0409
BLAKE2b-256 df2c572e43db59a870b8df3332b94bd29ee7246bcba8cbb071b61174ecd1c834

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ef888f48eb9203ee1e04b9fb27429017b290fb916f1e7826c2f7808c88798394
MD5 7dbcba8eaf991a37f7590ddfa1a3f537
BLAKE2b-256 7605de90f39846ec83fe9e2099c7993266bb1a154f3a0777e78121f56fe08ee7

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a9c2885b4a8e6e39db5662d8b02ca6dcec796a45e48c2de12552841f061692ba
MD5 f0eaee8f9c10070b50cfe1f756fe5365
BLAKE2b-256 4a929c11924649a557d95283882a4bcb67cfc32d6cb1528064a53c0bdb0540d7

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 5134d33286c045393c7beb51be29754647cec5ebc051cf82799c5ce9820a2ca2
MD5 11fb4e28a93436d3f748e26515cb786f
BLAKE2b-256 d44dcdfde31b4545d2f0aaabae9a9acd0dda6384f3d02b4f7a4b6a483f4bf749

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7c051fe37c96b9878f37fa58906cb53ecd13dcb7341d3a85f1e2e2f6b10782d9
MD5 e9d05e883cb057777c211c85709a12fc
BLAKE2b-256 96488baccdb480d0ceb2799d1b6d2da780b6f174635c64f82fa27bc8fbb9d660

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4ed00f96e147f40b565fe7530d1da0b0f3ab803d5dd5b683834500fa5d195ec4
MD5 76a57a79c58cb7037bbc1bd5b850274b
BLAKE2b-256 0e9fa4986f0a86fc017599bf4c8912c01005a27c536acd221041234e0cb9739a

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 34b040e095e1671df0c095ec0b04fc4ebb19c4c160f87c2b55c079b16b1a6b00
MD5 7ffebc11ba9fbd8b83cc9b0039fcc3b9
BLAKE2b-256 c43d51e3ed544c4d4a0dbcafe197d582f9e922e73ea185bd5a19486c7c297308

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 711bc52cb98e7892c03e9b669bebd89c0a890a90dbc6d5bb2c47f30239bac6e9
MD5 6d469e82c38842c7f40ba4566f8ab3c3
BLAKE2b-256 c61fcd1d6d21620125693cd6d21eb9264b885df553f3c51cb778b06fe96d6abd

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d07d06dba5b5f7d80f9cc45501456e440f759fe79f9895922ed486237ac378a8
MD5 37d830ea06e57e73c9684e3e6a44a18c
BLAKE2b-256 66b68e554ee180a28aa3f99200eb1ab60ab180fbea1a55f47166a6da2fd93299

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0c466710871d0026c190fc4141e810cf9d9affbf4935e1d273fbdc7d7cda6143
MD5 039c587e4bfe96220ed1ef4cfd9648be
BLAKE2b-256 924547134bdc3d628fa02945545c9d0cca1d7b349c507734860cf3614da77cb0

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cd6a4afb20fb3c26a7bfd4611a0bbb24d93cbd746f5eb881f114b5e38fd55501
MD5 ecbe8fdb1ed2f34f6497a6dda14daf94
BLAKE2b-256 ee2a223a77aab2d1d9f2ca86b1db60578f25ebd2f1c0f558fcf46d05457865d1

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 dca34367a4e77fcab0693e603a959878eaf2351585e7d752cac544bc6b2dee46
MD5 644cce1b5e79b52a0b31b8e525b0438a
BLAKE2b-256 c90277f30505aa009f329ec935a2e0e856889e19568c1c6c7af4dbffe894c27e

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c184ec5be465c0319440734491e1aa4709b5f3ba75fdfc9dbbc2ae715a7f6829
MD5 50680cc8f8baa118a56f3acbf84de802
BLAKE2b-256 6a6c246b69b8fc3071e9ff1f42480fbc29835b95e910655604b66bef0a282e78

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 382.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 54c377893f2cbbffe39abcff5ff2e917b082c364521fa079305f6f064e1a24a9
MD5 63bc797f0922d63db456184968a3a359
BLAKE2b-256 420cd2ad12aec55acdc4099134a8c87912d8fe01e2e1e5969b5d6c3485b99284

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pymongo-4.3.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 378.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.7

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 49210feb0be8051a64d71691f0acbfbedc33e149f0a5d6e271fddf6a12493fed
MD5 f6cc54c167483b6d4c6de85575fe48c9
BLAKE2b-256 dcbc1d69ee98cc0b50278f9c6044666a5dbd8b296e8bd3af733066f6bb8bc597

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2c2fdc855149efe7cdcc2a01ca02bfa24761c640203ea94df467f3baf19078be
MD5 5fa37b85253644660dbceb8c971b389f
BLAKE2b-256 93dad58cdba6e4c896300d1c939119c0911948a7edd94e10cc75048142e56160

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 47f7aa217b25833cd6f0e72b0d224be55393c2692b4f5e0561cb3beeb10296e9
MD5 8f0dec418798ce1793998cf2ff712199
BLAKE2b-256 815d6d34f7b3cffe3efe38cac65de60beba7f1a14b8f5b64d27354bce33b924d

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 12f3621a46cdc7a9ba8080422262398a91762a581d27e0647746588d3f995c88
MD5 ea4cb74a9b49864030ea790e5d29e9c0
BLAKE2b-256 2c5cab73b2fc15fd9930f07bce865c3f0d98fe90211b92889831a746d61d3830

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c29e758f0e734e1e90357ae01ec9c6daf19ff60a051192fe110d8fb25c62600e
MD5 2c7f2e49fdb1a8a0a407d231f8f6b321
BLAKE2b-256 c5be64441bc6f65ddca82ecb1231348c89257272c023a44658d59f044877a498

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bb869707d8e30645ed6766e44098600ca6cdf7989c22a3ea2b7966bb1d98d4b2
MD5 48cdb330f6f2add287522bac18078b5e
BLAKE2b-256 0110e7157fcda1db4f759c858f8d9dc001112eb630136894056bb29f332137c3

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 6dd1cf2995fdbd64fc0802313e8323f5fa18994d51af059b5b8862b73b5e53f0
MD5 0996305c683108d516da128045840255
BLAKE2b-256 4fa932799279229f74f4d477f6c122dbbb4173f7d6d158bb9f7adf582c2ada20

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5effd87c7d363890259eac16c56a4e8da307286012c076223997f8cc4a8c435b
MD5 86bb219e17cd2a3790d27145109abfba
BLAKE2b-256 263833270a35e265c1936ab3ea6863c02b9e3292ca013df9bd1e5ab1ed231ec7

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c6258a3663780ae47ba73d43eb63c79c40ffddfb764e09b56df33be2f9479837
MD5 f2249042b5043c97dbc095c91e00ff45
BLAKE2b-256 e27ca076b118f1b7aea6c8dc548d45441801b86486bf67765589112e28ea188d

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 4d00b91c77ceb064c9b0459f0d6ea5bfdbc53ea9e17cf75731e151ef25a830c7
MD5 f5492b05ca716a50046fab79e0aa377c
BLAKE2b-256 71c7c129dcde11ec97fe485cfc7a837284a0300bc4647a1bcb1e63f1ce050732

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b0cfe925610f2fd59555bb7fc37bd739e4b197d33f2a8b2fae7b9c0c6640318c
MD5 af1cb915ce1fa9b5fb63139b48b0968a
BLAKE2b-256 b5a2a566780a2baeb108ae4b7e87add2c022090a39f728e9c808dee4c8b1efde

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c09956606c08c4a7c6178a04ba2dd9388fcc5db32002ade9c9bc865ab156ab6d
MD5 87477db68f65a661a542188b607ce8ae
BLAKE2b-256 74a8fe9d9c1f7d3a12b3d5c2b26fb267671a02f42b68ddd69d20105b6d87798b

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3b93043b14ba7eb08c57afca19751658ece1cfa2f0b7b1fb5c7a41452fbb8482
MD5 e73c6a7f935e8a1261034cd0bc7b078f
BLAKE2b-256 f0255331b822a0e2486efe75c741fa9dcb500b67ecfb0223f26179afa60f1c17

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7d43ac9c7eeda5100fb0a7152fab7099c9cf9e5abd3bb36928eb98c7d7a339c6
MD5 6de0c2cd2023f07916b42f90610b12ce
BLAKE2b-256 fc281b934e5839bf12b022782561c803ee63149737d6c5f9627d3299cd28516f

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 6fcfbf435eebf8a1765c6d1f46821740ebe9f54f815a05c8fc30d789ef43cb12
MD5 9cd4fb7a98a0984bd45289694d012c08
BLAKE2b-256 1058cdf21baff3328e6ba3b960918cd48302c3973e97ea4dcfbdf6ae5bf18408

See more details on using hashes here.

File details

Details for the file pymongo-4.3.3-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.3.3-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 39b03045c71f761aee96a12ebfbc2f4be89e724ff6f5e31c2574c1a0e2add8bd
MD5 a7b4776dfead61506d825e773aa515f0
BLAKE2b-256 e1eaca13d38405cea315683b085cfcf661cf48be9a9a786dcead86d9454fcc18

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