openstack/automaton
Code Issues Proposed changes
Friendly state machines for python.
267 Commits 8 Branches 68 Tags 1.6 MiB
Python 100%
999281f7ca
Go to file
Takashi Kajinami 999281f7ca Drop alpha status 
This repository was crated almost 10 years. This library has been used
by number of OpenStack projects so is considered to be mature.

Change-Id: I2e06fb748d65c6910caf193eff3135327fce6eb5
2024-10-24 21:36:02 +09:00
automaton Remove six dependency 2020-12-12 08:08:06 +01:00
doc Remove old excludes 2024-04-30 17:48:46 +09:00
releasenotes reno: Update master for unmaintained/zed 2024-05-06 05:54:58 +00:00
.coveragerc Added code coverage section to tox 2015-10-05 17:10:31 -04:00
.gitignore Ignore releasenote artifacts files. 2020-02-04 10:13:23 +01:00
.gitreview OpenDev Migration Patch 2019-04-19 19:42:55 +00:00
.pre-commit-config.yaml pre-commit: Bump versions 2024-02-02 12:54:36 +00:00
.stestr.conf Switch to stestr 2018-07-11 09:48:53 +07:00
.zuul.yaml Test python 3.10 and 3.11 2024-01-11 15:36:52 -08:00
bindep.txt Add local bindep.txt 2019-06-26 18:30:20 +02:00
CONTRIBUTING.rst Moving to OFTC 2021-06-07 21:08:51 +00:00
HACKING.rst Sync Sphinx requirement 2019-06-19 00:57:49 +08:00
LICENSE Initial commit 2014-12-02 22:38:57 -08:00
README.rst Update to opendev 2019-04-23 13:53:38 +08:00
requirements.txt Remove old excludes 2024-04-30 17:48:46 +09:00
setup.cfg Drop alpha status 2024-10-24 21:36:02 +09:00
setup.py Small cleanup 2020-05-26 09:00:31 +02:00
test-requirements.txt Remove old excludes 2024-04-30 17:48:46 +09:00
tox.ini Merge "Remove lower-constraints remnants" 2021-04-16 12:48:49 +00:00

README.rst

Automaton

Latest Version

Downloads

Friendly state machines for python. The goal of this library is to provide well documented state machine classes and associated utilities. The state machine pattern (or the implemented variation there-of) is a commonly used pattern and has a multitude of various usages. Some of the usages for this library include providing state & transition validation and running/scheduling/analyzing the execution of tasks.