gevent

Coroutine-based network library

These details have not been verified by PyPI

Project links

Project description

gevent

https://ci.appveyor.com/api/projects/status/bqxl88yhpho223jg?svg=true

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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:

Fast event loop based on libev or libuv.
Lightweight execution units based on greenlets.
API that re-uses concepts from the Python standard library (for examples there are events and queues).
Cooperative sockets with SSL support
Cooperative DNS queries performed through a threadpool, dnspython, or c-ares.
Monkey patching utility to get 3rd party modules to become cooperative
TCP/UDP/HTTP servers
Subprocess support (through gevent.subprocess)
Thread pools

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.

Tip

Beginning with gevent 20.12.0, 64-bit ARM binaries are distributed on PyPI for aarch64 manylinux2014 compatible systems. Installing these needs a very recent version of pip. These wheels do not contain the c-ares resolver, are not tested, and are built with very low levels of optimizations. Serious production users of gevent on 64-bit ARM systems are encouraged to build their own binary wheels.

Beginning with gevent 22.10.0, ppc64le binaries are distributed on PyPI. The same caveats apply as for 64-bit ARM binaries. Using them for anything other than local development is discouraged.

Beginning with gevent 23, muslinux aarch64 and S390X binaries are distributed on PyPI. The same caveats apply as for 64-bit ARM binaries. Using them for anything other than local development is discouraged.

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.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

25.5.1

May 12, 2025

25.4.2

Apr 24, 2025

25.4.1

Apr 17, 2025

24.11.1

Nov 11, 2024

24.10.3

Oct 18, 2024

24.10.2

Oct 11, 2024

24.10.1

Oct 9, 2024

24.2.1

Feb 14, 2024

23.9.1

Sep 12, 2023

23.9.0.post1

Sep 2, 2023

23.9.0

Sep 1, 2023

23.7.0

Jul 11, 2023

22.10.2

Oct 31, 2022

22.10.1

Oct 14, 2022

22.8.0

Oct 8, 2022

21.12.0

Dec 11, 2021

21.8.0

Aug 5, 2021

21.1.2

Jan 20, 2021

21.1.1

Jan 18, 2021

21.1.0

Jan 15, 2021

20.12.1

Dec 27, 2020

20.12.0

Dec 22, 2020

20.9.0

Sep 22, 2020

20.6.2

Jun 16, 2020

20.6.1

Jun 10, 2020

20.6.0

Jun 6, 2020

20.5.2

May 28, 2020

20.5.1

May 26, 2020

20.5.0

May 1, 2020

20.4.0

Apr 22, 2020

1.5.0

Apr 10, 2020

1.5a4 pre-release

Mar 23, 2020

1.5a3 pre-release

Jan 1, 2020

1.5a2 pre-release

Oct 22, 2019

1.5a1 pre-release

May 2, 2019

1.4.0

Jan 4, 2019

1.3.7

Oct 12, 2018

1.3.6

Aug 17, 2018

1.3.5

Jul 16, 2018

1.3.4

Jun 20, 2018

1.3.3

Jun 8, 2018

1.3.2.post0

May 30, 2018

1.3.2

May 29, 2018

1.3.1

May 18, 2018

1.3.0

May 11, 2018

1.3b2 pre-release

May 3, 2018

1.3b1 pre-release

Apr 13, 2018

1.3a2 pre-release

Mar 6, 2018

1.3a1 pre-release

Jan 27, 2018

1.2.2

Jun 5, 2017

1.2.1

Jan 12, 2017

1.2.0

Dec 23, 2016

1.2a2 pre-release

Dec 9, 2016

1.2a1 pre-release

Oct 27, 2016

1.1.2

Jul 21, 2016

1.1.1

Apr 4, 2016

1.1.0

Mar 5, 2016

1.1rc5 pre-release

Feb 24, 2016

1.1rc4 pre-release

Feb 16, 2016

1.1rc3 pre-release

Jan 4, 2016

1.1rc2 pre-release

Dec 11, 2015

1.1rc1 pre-release

Nov 14, 2015

1.1b6 pre-release

Oct 17, 2015

1.1b5 pre-release

Sep 18, 2015

1.1b4 pre-release

Sep 4, 2015

1.1b3 pre-release

Aug 16, 2015

1.1b2 pre-release

Aug 5, 2015

1.1b1 pre-release

Jul 17, 2015

1.1a2 pre-release

Jul 8, 2015

1.1a1 pre-release

Jun 29, 2015

1.0.2

May 23, 2015

1.0.1

Apr 30, 2014

1.0

Nov 26, 2013

0.13.8

Sep 6, 2012

0.13.7

Apr 11, 2012

0.13.6

May 2, 2011

0.13.5

Apr 21, 2011

0.13.4

Apr 11, 2011

0.13.3

Feb 7, 2011

0.13.2

Jan 28, 2011

0.13.1

Sep 23, 2010

0.13.0

Jul 14, 2010

0.12.2

Mar 2, 2010

0.12.1

Feb 26, 2010

0.12.0

Feb 5, 2010

0.11.2

Dec 10, 2009

0.11.1

Nov 15, 2009

0.11.0

Oct 9, 2009

0.10.0

Aug 26, 2009

0.9.3

Aug 3, 2009

0.9.2

Jul 20, 2009

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gevent 25.5.1

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gevent

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Algorithm	Hash digest
SHA256	`8fdc7446895fa184890d8ca5ea61e502691114f9db55c9b76adc33f3086c4368`
MD5	`755f8843b03a84bf890712f228b3f9a2`
BLAKE2b-256	`b627bb38e005106a53787c13ad1f9f73ed990e403e462108acae6320ab11d442`

Algorithm	Hash digest
SHA256	`24484f80f14befb8822bf29554cfb3a26a26cb69cd1e5a8be9e23b4bd7a96e25`
MD5	`405cb8fc4694d693d500f353a3b305c0`
BLAKE2b-256	`524fa3f3acd961887da10cb0b49c3d915201973d59ce6bf49e2922eaf2058d5f`

Algorithm	Hash digest
SHA256	`cde6aaac36b54332e10ea2a5bc0de6a8aba6c205c92603fe4396e3777c88e05d`
MD5	`18552585e67bbf8b1c7bb687618a1b5a`
BLAKE2b-256	`3efc8e799a733be48f6114bfc531b94e28812741664d8af89872dd90e117f8a4`

Algorithm	Hash digest
SHA256	`2797885e9aeffdc98e1846723e5aa212e7ce53007dbef40d6fd2add264235c41`
MD5	`65f9a3a43a745c902933b3fce53708e0`
BLAKE2b-256	`f59f42dd255849c9ca2e814f5cbe180980594007ba19044a132cf674069e38bf`

Algorithm	Hash digest
SHA256	`7f0694daab1a041b69a53f53c2141c12994892b2503870515cabe6a5dbd2a928`
MD5	`bbde8fe76084980563f12fdc7b7add2f`
BLAKE2b-256	`7b8642d191a6f6672ca59d6d79b4cd9b89d4a15f59c843fbbad42f2b749f8ea9`

Algorithm	Hash digest
SHA256	`12380aba5c316e9ff53cc21d8ab80f4a91c0df3ada58f65d4f5eb2cf693db00e`
MD5	`edd8ad1a8893a4c8e45596afa23c7757`
BLAKE2b-256	`c6eb015e93f16a718e2f836ecebecae9bcd7b4d2a5695d1c8bd5bba2d5d91548`

Algorithm	Hash digest
SHA256	`469c86d02fccad7e2a3d82fe22237e47ecb376fbf4710bc18747b49c50716817`
MD5	`6c3f4c5d7a3a55640035f64d0a1b8eae`
BLAKE2b-256	`dfc734680b7d2a75492fa032fa8ecaacc03c1940767a35125f6740954a0132a3`

Algorithm	Hash digest
SHA256	`017a7384c0cd1a5907751c991535a0699596e89725468a7fc39228312e10efa1`
MD5	`aa3b161276614e9e6cb0553856330dce`
BLAKE2b-256	`939373a49b896d78eec27f0895ce3008f9825db748a5aacbca47404d1014da4b`

Algorithm	Hash digest
SHA256	`cad0821dff998c7c60dd238f92cd61380342c47fb9e92e1a8705d9b5ac7c16e8`
MD5	`83b6a92278ac55cf7405f217e7ef5168`
BLAKE2b-256	`74dacf52ae0c84361f4164a04f3338508b1234331ce79719db103e50dbc5598c`

Algorithm	Hash digest
SHA256	`a8ba0257542ccbb72a8229dc34d00844ccdfba110417e4b7b34599548d0e20e9`
MD5	`5a5bbdbb86573818bb194047ba9f515c`
BLAKE2b-256	`7cb37aa7b09d91207bebe7608699558bbadd34f63e32904351867c29f8be25de`