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Coroutine-based network library

Project description

gevent

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gevent is a coroutine -based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop.

Features include:

gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.

gevent was written by Denis Bilenko.

Since version 1.1, gevent is maintained by Jason Madden for NextThought (through gevent 21) and Institutional Shareholder Services with help from the contributors and is licensed under the MIT license.

See what’s new in the latest major release.

Check out the detailed changelog for this version.

Read the documentation online at http://www.gevent.org.

Post issues on the bug tracker, discuss and ask open ended questions on the mailing list, and find announcements and information on the blog and twitter (@gevent).

Installation and Requirements

Supported Platforms

This version of gevent runs on Python 3.8 and up, (for exact details of tested versions, see the classifiers on the PyPI page or in setup.py). gevent requires the greenlet library and will install the cffi library by default on Windows. The cffi library will become the default on all platforms in a future release of gevent.

This version of gevent is also tested on on PyPy 3.10 (7.3.12); it should run on PyPy 3.9 and above. On PyPy, there are no external dependencies.

gevent is tested on Windows, macOS, and Linux, and should run on most other Unix-like operating systems (e.g., FreeBSD, Solaris, etc.)

Older Versions of Python

Users of older versions of Python 2 or Python 3 may install an older version of gevent. Note that these versions are generally not supported.

Python Version

Gevent Version

2.5

1.0.x

2.6

1.1.x

<= 2.7.8

1.2.x

3.3

1.2.x

3.4.0 - 3.4.2

1.3.x

3.4.3

1.4.x

3.5.x

20.9.0

2.7.9 - 2.7.18, 3.6, 3.7

22.10

Installation

gevent and greenlet can both be installed with pip, e.g., pip install gevent. Installation using buildout is also supported.

On Windows, macOS, and Linux, both gevent and greenlet are distributed as binary wheels.

Installing From Source

If you are unable to use the binary wheels (for platforms where no pre-built wheels are available or if wheel installation is disabled), you can build gevent from source. A normal pip install will fall back to doing this if no binary wheel is available. See Installing From Source for more, including common installation issues.

Extra Dependencies

There are a number of additional libraries that extend gevent’s functionality and will be used if they are available. All of these may be installed using setuptools extras, as named below, e.g., pip install gevent[events].

events

In versions of gevent up to and including 20.5.0, this provided configurable event support using zope.event and was highly recommended.

In versions after that, this extra is empty and does nothing. It will be removed in gevent 21.0.

dnspython

Enables a pure-Python resolver, backed by dnspython. On Python 2, this also includes idna. They can be installed with the dnspython extra.

monitor

Enhancements to gevent’s self-monitoring capabilities. This includes the psutil library which is needed to monitor memory usage. (Note that this may not build on all platforms.)

recommended

A shortcut for installing suggested extras together. This includes the non-test extras defined here, plus additions that improve gevent’s operation on certain platforms (for example, in the past, it has included backports of newer APIs).

test

Everything needed to run the complete gevent test suite.

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Hashes for gevent-23.9.0.post1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a6ff1771bc8f2ed343f32c2f40dbd25f04fdfe2d83eb02e0401945dc61115dbe
MD5 3a87d1d3e3dcd0de6069025622bb0208
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Hashes for gevent-23.9.0.post1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 2cf108ee9c18c0ea5cf81d3fc7859f512dab61c2d76937b2510c7bf8cfaabfe7
MD5 29ed51bd763c7ad7eb0b81aa44232ecc
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Hashes for gevent-23.9.0.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9b3a813ff1151d75538bb5ec821332627cd2c4685cc72702640d203a426041ca
MD5 6468313947a66c4f8e0a9d440f246eb0
BLAKE2b-256 79aafcfcb5a0364b0c01a420e99df6dc5a7a67dac710b3366b7faf911c94ad5f

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Hashes for gevent-23.9.0.post1-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 c4b2efc68fb3aef5dde8204d0f71c3585ba621c57e9b937b46ff5678f1cd7404
MD5 00af2557273b95ab8bb3faf42dd86016
BLAKE2b-256 c085ee417b4df19195c49df7842e093cf55bcd4df0d509724c4bc5627a63c0bf

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Hashes for gevent-23.9.0.post1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 595706422f1832f2dd29bb9cb3219780f1e158d5a771199fe26b00da1bae8214
MD5 329c793e0c53f1d720a8dab20e4b66cf
BLAKE2b-256 8aaeebc569f246e4b51ea2f88baaa3e151d523a8aafa708014bb13bc4c248817

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  • Download URL: gevent-23.9.0.post1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

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Hashes for gevent-23.9.0.post1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f731574d908cbe505e103f4c5b4d64fe4e0a82cef371e925212689194ee22198
MD5 53f7e66f7e619806a462c34f43470cd2
BLAKE2b-256 4a157f72a0c9d24c05edfecbe0f6c3f7ac31288ddbabef4f1007fc322236349a

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Details for the file gevent-23.9.0.post1-cp39-cp39-musllinux_1_1_x86_64.whl.

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Hashes for gevent-23.9.0.post1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 17ebb6f981389c17321b95bc59ff6a65edeb98f3205884babaec9cb514aaa0d3
MD5 a1998b34eb676a53a4acb6b83d37acfd
BLAKE2b-256 fc73885ed2ee9e2ea1a209a78c4c839ec6c61e8dd687209628bdacb1a238876c

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Hashes for gevent-23.9.0.post1-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 98de0f1eecd772df87018e04ef8e274b72c3b3127d2e15f76b8b761ed135b803
MD5 cac87815728a2e2ac3b6f504664f15a7
BLAKE2b-256 f5b2e2c24174c804a6c3fed0b0630600fb92d4da0115f8b889ebdd706eef0587

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Hashes for gevent-23.9.0.post1-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 f0dbee943865313331ece9f9675a30848d027df653b0ff4881d2be14d0c2ea1c
MD5 fef05f27dc5bae5e9dc3a0a3c35fec62
BLAKE2b-256 09d20f8500e7d410f8645a8f48bc1302897ea74187c00d47b4568ce5a0fd60e2

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Hashes for gevent-23.9.0.post1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3e6b6c53e1e81b3f22180da316769ac55a41085655971e0e086899f0ddb017b0
MD5 1a1a2088d4504ae99f92ffb809056e29
BLAKE2b-256 ad1ae093749d45f693fc6f83e7e23de907a9a2be6e03c59ee2e061ff99263f4d

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File metadata

  • Download URL: gevent-23.9.0.post1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for gevent-23.9.0.post1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 22d7fdbfc7127c5d59511c3de9f8394a125f32bccc1254915944d95522876a8e
MD5 d15fa73bfc61b9a2d4834f6f28da4085
BLAKE2b-256 0893e5fc46fb6627dcb94ab7d205b0a7b865bba12d57ce5c80b0799196c26986

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Hashes for gevent-23.9.0.post1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3c4acda344e9864b2d0755fad1c736dc4effae95b0fd8915a261ff6ace09416f
MD5 d1865247b65529bdad6c4c13b7f9dfba
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Hashes for gevent-23.9.0.post1-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a21b9c7356e9ab0baaa8afa85fb18406cbff54d3cf8033e1e97e7186a3deb391
MD5 8db472b4a1be91d96ccb007337cddfc2
BLAKE2b-256 989db0e6e344fc724e94358964c94779f6f06edb528c3c97d033f8480b520697

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Hashes for gevent-23.9.0.post1-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 bc836d91b834fa4ce18ee062861dc6e488f35254def8301ffcac6900331941a7
MD5 70781c9f152cbf27cc27494139fa0899
BLAKE2b-256 4057a9a0acf90f91d2fc357972c21237e1dbbcf7cccf3c144bfd2cd440b0c575

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