Skip to main content

Python wrapper around rapidjson

Project description

Authors:

Ken Robbins <ken@kenrobbins.com>

Lele Gaifax <lele@metapensiero.it>

License:

MIT License

Status:
Build status Documentation status

RapidJSON is an extremely fast C++ JSON parser and serialization library: this module wraps it into a Python 3 extension, exposing its serialization/deserialization (to/from either bytes, str or file-like instances) and JSON Schema validation capabilities.

Latest version documentation is automatically rendered by Read the Docs.

Getting Started

First install python-rapidjson:

$ pip install python-rapidjson

or, if you prefer Conda:

$ conda install -c conda-forge python-rapidjson

Basic usage looks like this:

>>> import rapidjson
>>> data = {'foo': 100, 'bar': 'baz'}
>>> rapidjson.dumps(data)
'{"bar":"baz","foo":100}'
>>> rapidjson.loads('{"bar":"baz","foo":100}')
{'bar': 'baz', 'foo': 100}
>>>
>>> class Stream:
...   def write(self, data):
...      print("Chunk:", data)
...
>>> rapidjson.dump(data, Stream(), chunk_size=5)
Chunk: b'{"foo'
Chunk: b'":100'
Chunk: b',"bar'
Chunk: b'":"ba'
Chunk: b'z"}'

Development

If you want to install the development version (maybe to contribute fixes or enhancements) you may clone the repository:

$ git clone --recursive https://github.com/python-rapidjson/python-rapidjson.git

A set of makefiles implement most common operations, such as build, check and release; see make help output for a list of available targets.

Performance

python-rapidjson tries to be as performant as possible while staying compatible with the json module.

See the this section in the documentation for a comparison with other JSON libraries.

Incompatibility

Here are things in the standard json library supports that we have decided not to support:

separators argument

This is mostly used for pretty printing and not supported by RapidJSON so it isn’t a high priority. We do support indent kwarg that would get you nice looking JSON anyways.

Coercing keys when dumping

json will stringify a True dictionary key as "true" if you dump it out but when you load it back in it’ll still be a string. We want the dump and load to return the exact same objects so we have decided not to do this coercion.

Arbitrary encodings

json.loads() accepts an encoding kwarg determining the encoding of its input, when that is a bytes or bytearray instance. Although RapidJSON is able to cope with several different encodings, we currently support only the recommended one, UTF-8.

Changes

0.7.1 (2019-05-11)

  • Raise a more specific exception on loading errors, JSONDecodeError, instead of generic ValueError (issue #118)

  • Fix optimization path when using OrderedDicts (issue #119)

  • Fix serialization of IntEnums (issue #121)

  • I spent quite a lot of time investigating on the memory leak when loading from a stream (issue #117): as I was not able to fully replicate the problem, I cannot be sure I solved the problem… sorry!

0.7.0 (2019-02-11)

  • Raise correct exception in code samples (PR #109), thanks to Thomas Dähling

  • Fix compilation with system-wide install of rapidjson (issue #110)

  • Use current master version of rapidjson, that includes a fix for its issue #1368 and issue #1336, and cures several compilation warnings as well (issue #112 and issue #107)

  • Fix memory leak when using object_hook (issue #115)

0.6.3 (2018-07-11)

  • No visible changes, but now PyPI carries binary wheels for Python 3.7.

0.6.2 (2018-06-08)

  • Use a more specific ValidationError, to differentiate from invalid JSON

0.6.1 (2018-06-06)

  • Nothing new, attempt to build Python 3.6 binary wheels on Travis CI

0.6.0 (2018-06-06)

  • Add a new comparison table involving ensure_ascii (issue #98)

  • Use Python’s repr() to emit float values instead of rapidjson’s dtoa() (issue #101)

  • Use a newer (although unreleased) version of rapidjson to fix an issue with JSONSchema validation (PR #103), thanks to Anthony Miyaguchi

0.5.2 (2018-03-31)

  • Tiny tweak to restore macOS build on Travis CI

0.5.1 (2018-03-31)

  • Minor tweaks to CI and PyPI deploy configuration

0.5.0 (2018-03-31)

  • New RawJSON class, allowing inclusion of pre-serialized content (PR #95 and PR #96), thanks to Silvio Tomatis

0.4.3 (2018-01-14)

  • Deserialize from bytes and bytearray instances, ensuring they contain valid UTF-8 data

  • Speed up parsing of floating point numbers, avoiding intermediary conversion to a Python string (PR #94)

0.4.2 (2018-01-09)

  • Fix precision handling of DM_UNIX_TIME timestamps

0.4.1 (2018-01-08)

  • Fix memory leaks in Decoder() and Encoder() classes, related to bad handling of PyObject_GetAttr() result value

  • Fix compatibility with Python 3.7a

0.4.0 (2018-01-05)

  • Implemented the streaming interface, see load() and dump() (issue #80)

    Backward incompatibility: now the flags arguments on all the functions are keyword only, to mimic stdlib’s json style

0.3.2 (2017-12-21)

0.3.1 (2017-12-20)

  • Fix Travis CI recipe to accomodate MacOS

0.3.0 (2017-12-20)

  • Fix compilation on MacOS (issue #78)

  • Handle generic iterables (PR #89)

    Backward incompatibility: the dumps() function and the Encoder() constructor used to accept a max_recursion_depth argument, to control the maximum allowed nesting of Python structures; since the underlying function is now effectively recursive, it has been replaced by the generic sys.setrecursionlimit() mechanism

0.2.7 (2017-12-08)

  • Restore compatibility with Python < 3.6

0.2.6 (2017-12-08)

  • Fix memory leaks when using object_hook/start_object/end_object

0.2.5 (2017-09-30)

  • Fix bug where error handling code could raise an exception causing a confusing exception to be returned (PR #82)

  • Fix bug where loads’s object_hook and dumps’s default arguments could not be passed None explicitly (PR #83)

  • Fix crash when dealing with surrogate pairs (issue #81)

0.2.4 (2017-09-17)

  • Fix compatibility with MacOS/clang

0.2.3 (2017-08-24)

  • Limit the precision of DM_UNIX_TIME timestamps to six decimal digits

0.2.2 (2017-08-24)

  • Nothing new, attempt to fix production of Python 3.6 binary wheels

0.2.1 (2017-08-24)

  • Nothing new, attempt to fix production of Python 3.6 binary wheels

0.2.0 (2017-08-24)

  • New parse_mode option, implementing relaxed JSON syntax (issue #73)

  • New Encoder and Decoder, implementing a class-based interface

  • New Validator, exposing the underlying JSON schema validation (issue #71)

0.1.0 (2017-08-16)

  • Remove beta status

0.1.0b4 (2017-08-14)

  • Make execution of the test suite on Appveyor actually happen

0.1.0b3 (2017-08-12)

  • Exclude CI configurations from the source distribution

0.1.0b2 (2017-08-12)

  • Fix Powershell wheel upload script in appveyor configuration

0.1.0b1 (2017-08-12)

  • Compilable with somewhat old g++ (issue #69)

  • Backward incompatibilities:

    • all DATETIME_MODE_XXX constants have been shortened to DM_XXX DATETIME_MODE_ISO8601_UTC has been renamed to DM_SHIFT_TO_UTC

    • all UUID_MODE_XXX constants have been shortened to UM_XXX

  • New option DM_UNIX_TIME to serialize date, datetime and time values as UNIX timestamps targeting issue #61

  • New option DM_NAIVE_IS_UTC to treat naïve datetime and time values as if they were in the UTC timezone (also for issue #61)

  • New keyword argument number_mode to use underlying C library numbers

  • Binary wheels for GNU/Linux and Windows on PyPI (one would hope: this is the reason for the beta1 release)

0.0.11 (2017-03-05)

  • Fix a couple of refcount handling glitches, hopefully targeting issue #48.

0.0.10 (2017-03-02)

  • Fix source distribution to contain all required stuff (PR #64)

0.0.9 (2017-03-02)

0.0.8 (2016-12-09)

Project details


Download files

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

Source Distribution

python-rapidjson-0.7.1.tar.gz (190.2 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

python_rapidjson-0.7.1-cp37-cp37m-win_amd64.whl (127.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

python_rapidjson-0.7.1-cp37-cp37m-win32.whl (106.6 kB view details)

Uploaded CPython 3.7mWindows x86

python_rapidjson-0.7.1-cp37-cp37m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.7m

python_rapidjson-0.7.1-cp37-cp37m-manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.7m

python_rapidjson-0.7.1-cp37-cp37m-macosx_10_6_intel.whl (387.8 kB view details)

Uploaded CPython 3.7mmacOS 10.6+ Intel (x86-64, i386)

python_rapidjson-0.7.1-cp36-cp36m-win_amd64.whl (127.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

python_rapidjson-0.7.1-cp36-cp36m-win32.whl (106.6 kB view details)

Uploaded CPython 3.6mWindows x86

python_rapidjson-0.7.1-cp36-cp36m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.6m

python_rapidjson-0.7.1-cp36-cp36m-manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.6m

python_rapidjson-0.7.1-cp36-cp36m-macosx_10_6_intel.whl (387.7 kB view details)

Uploaded CPython 3.6mmacOS 10.6+ Intel (x86-64, i386)

python_rapidjson-0.7.1-cp35-cp35m-win_amd64.whl (127.0 kB view details)

Uploaded CPython 3.5mWindows x86-64

python_rapidjson-0.7.1-cp35-cp35m-win32.whl (106.6 kB view details)

Uploaded CPython 3.5mWindows x86

python_rapidjson-0.7.1-cp35-cp35m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.5m

python_rapidjson-0.7.1-cp35-cp35m-manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.5m

python_rapidjson-0.7.1-cp35-cp35m-macosx_10_6_intel.whl (387.7 kB view details)

Uploaded CPython 3.5mmacOS 10.6+ Intel (x86-64, i386)

python_rapidjson-0.7.1-cp34-cp34m-win_amd64.whl (117.2 kB view details)

Uploaded CPython 3.4mWindows x86-64

python_rapidjson-0.7.1-cp34-cp34m-win32.whl (104.3 kB view details)

Uploaded CPython 3.4mWindows x86

python_rapidjson-0.7.1-cp34-cp34m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.4m

python_rapidjson-0.7.1-cp34-cp34m-manylinux1_i686.whl (1.1 MB view details)

Uploaded CPython 3.4m

python_rapidjson-0.7.1-cp34-cp34m-macosx_10_6_intel.whl (385.0 kB view details)

Uploaded CPython 3.4mmacOS 10.6+ Intel (x86-64, i386)

File details

Details for the file python-rapidjson-0.7.1.tar.gz.

File metadata

  • Download URL: python-rapidjson-0.7.1.tar.gz
  • Upload date:
  • Size: 190.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for python-rapidjson-0.7.1.tar.gz
Algorithm Hash digest
SHA256 3ea01520ebe28d270c79120a836d251fbb2187227695461a310fe0293f348b2d
MD5 10ad408bbb99daf38a6a9b70870e5c4d
BLAKE2b-256 b9450aa2d76d569ef87c7c391edc42a521fe2820523f0be5c79d282f036f451f

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 127.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a6dbe9c4c66be952aec3ae81b45f4e34d02b7bd47e57568a99566ae344e9befc
MD5 427ee7e649eaa7a98d1f3ca8735193e2
BLAKE2b-256 ea4dd76a1c49fb16935c032792071a3d63a09746d88ac7c1d9ff41f3d494b768

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 106.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 525eebbb5e9e9957964c68c897a1181a2d42e69c109553e96ea43ba3dd78c360
MD5 2d53c3d2e64dd6696dfec5857f01ab43
BLAKE2b-256 c3b922c471d15ef120f81168350543c00477181d0423331df1608cde44d14bb5

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 29508627db1dbb4b2bbca89d430528c9d270f631c6b1457ddb82f4b4f11fac05
MD5 fda8725f0b99d62020b8f25a51cbbddc
BLAKE2b-256 c00d70b4ee9144bd70d4be3be93d2e8d55066f8cb52e73297f9c865e9adbcc13

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 387f0d3b86647f60b4a6331eebbfffe95b637ce0d568f098a4e6ae01ceb3c368
MD5 e27c7a4fc0c747f12c6b70db6072d130
BLAKE2b-256 c662163cd25361b0594294bcecf8f436310ce271845e9e17079603294821f1c5

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 387.8 kB
  • Tags: CPython 3.7m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for python_rapidjson-0.7.1-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 022492d5fdb36cb424608cf891549149407c7aec672fe60ba461871850a46f1b
MD5 e5d765d262dbddb95d5debd876433101
BLAKE2b-256 b88f179c0db624a6e54db2f71ebcd6ef2d9d7ea5e3c3f5e8566878837dfe8818

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 127.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 769c33a3aba0bec3b2b3721d05c5958879de70b22f0d73755f02386a39c84a5d
MD5 e58b80bd6ab685e84f71c388538e024d
BLAKE2b-256 e16faf31eca64ee05e2a2e9ba15d8eb0db2fd526d2442006341b0ebd090a1245

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 106.6 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 f784416aff3babbb0aceec3ef12593c055749d64c24f0dbf546645cf8ac7cef4
MD5 2ead0800e9bbda41dd3ea937957437fe
BLAKE2b-256 689fe7de04f5c01656d64fd3a1d1b0632a53fd6c183bb34644e6589073ac6638

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0118e15a5420c1eb777da512b15e7cf7cddc599c5713d5c728fba1d9933ba1e6
MD5 90a7fcc7de3923b107dc1fc3b2137ad0
BLAKE2b-256 9250e7bcf9df3643f42de3b4f6cc5ca72c68fcaccb5f55a0cd9c9007bd993b05

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 ee2abb07820b80c7bf7c752fe51580c14e3d1e2ba75bb8fb7beaf69be56150f9
MD5 92012d42618e84f38cf2df5c457efcd4
BLAKE2b-256 3fde174fb56d6d3e1079d4b3394bda6000269c5f5fa7069469bf8c3fb65f8756

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 387.7 kB
  • Tags: CPython 3.6m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for python_rapidjson-0.7.1-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 5b0a38f42e65d43415b40394d8ff9a40f7114e4221573df79f3f6f4177773306
MD5 58b214b8f0e29a423412c7986cc57a53
BLAKE2b-256 cd8350d6b503213100aa930239d8487d57b5bebbdde880913fb25c32804e700d

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 127.0 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 4685de2ce614aafbc69838eac90500416f576bf37c62c26d7a543fc828b6a265
MD5 55976df58b78ed6b5ddcffd09249357a
BLAKE2b-256 00594d1144603230acf983959874678486d38ad2aff0ace8e6f3b80b21ecfcb5

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 106.6 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 f4d349d25c4c92d193e892e8368d67e13dff9e1ceb70c4b1f5f112add860390e
MD5 0d7e1bcb7d438291a0a185425b3e1891
BLAKE2b-256 9f3bd69965222f6d220ac28ed6c9b1e3b6f4bf6e2f4e4bef6ee3b55b87564c77

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3eab4c2405c8a12ce57d005c771a758c12344e34793396e4d495644fb755f326
MD5 9ee8771fce32eea638b0f6299d7626af
BLAKE2b-256 ab04a788060cc2a59f0a1817a521e72b22942db40b844220db0471a94e2950c4

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp35-cp35m-manylinux1_i686.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp35-cp35m-manylinux1_i686.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 475820d98d0a4e039f1185706c795e993f3a5b3bd2ff48b4d823bb9919a607db
MD5 2147d50564079eef86263628950e2967
BLAKE2b-256 3f3e121a3fa41e7bc141f0234dd73cd38f12247daf409bb5698d849b531bbd3d

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp35-cp35m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 387.7 kB
  • Tags: CPython 3.5m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for python_rapidjson-0.7.1-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 e2492d01e49f642f3ccdea38581e824283147f28bfb4b3de9e5de1646cd156a3
MD5 dad4a67514e8c516cb00aaa9de2fe2a9
BLAKE2b-256 180103af435d796a34cb8becfc4429d1bb777f15d4c22c0e50f4d9f4435adbb0

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp34-cp34m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp34-cp34m-win_amd64.whl
  • Upload date:
  • Size: 117.2 kB
  • Tags: CPython 3.4m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 9d23b1336f5083f305d75430000b3f9d93b8898e7443c3ebf4ad48a5a2d3f19f
MD5 41be81efb35fea2b895b0eccc3aefee9
BLAKE2b-256 26cf7a84d97caa2f69c4df47dc2d46e904aa83b476d6651a6a465e2b93f9f79f

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp34-cp34m-win32.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp34-cp34m-win32.whl
  • Upload date:
  • Size: 104.3 kB
  • Tags: CPython 3.4m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for python_rapidjson-0.7.1-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 4d7dea19ad185f6535683c2110554eb7e0f5d4573c7807242b7ec259c4fec2bb
MD5 45b17d623837ec2bf3b52e69afc773dd
BLAKE2b-256 240f195f762f684911bfa019f55e20500eba5b53da3ea9a84dfffff06b8165e3

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp34-cp34m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.4m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8b43817f46325df477245581d57639dd5c99e42c9f915b4251823b0a9ca58b3e
MD5 93bece7a7d516744f88ab95b68ef3626
BLAKE2b-256 ba540ad7bfa8efa960ec2e67dd9e6a097ed1f18d40ed3d653f94149c242e1625

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp34-cp34m-manylinux1_i686.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp34-cp34m-manylinux1_i686.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.4m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for python_rapidjson-0.7.1-cp34-cp34m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 2ef21fd3d8c18a278f6b2fd179ef102cb96a1e96161f64da4811a7ccfb8e6609
MD5 e970c123da09302c7cb74c327f4b65cb
BLAKE2b-256 3780b6ecc5200f3314d9655bb7413738801bad4d398047e40f26fdbec6bfd394

See more details on using hashes here.

File details

Details for the file python_rapidjson-0.7.1-cp34-cp34m-macosx_10_6_intel.whl.

File metadata

  • Download URL: python_rapidjson-0.7.1-cp34-cp34m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 385.0 kB
  • Tags: CPython 3.4m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for python_rapidjson-0.7.1-cp34-cp34m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 313e4287de28669d58eefdbbbf095170715b0729f5630aa7081799ab573f0426
MD5 468f4e70e272e5b787a8f04bf1db7dc8
BLAKE2b-256 0d0711fde60502d7dbd962c5cbce6eb77f8408e1a1c970d3390db851561e86ed

See more details on using hashes here.

Supported by

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