octohat

πŸ™πŸ‘’ Show _all_ the contributors to a GitHub repository.

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πŸ™πŸ‘’ - octohatrack

PyPI PyPI PyPI

It's easy to see some code contributions on a GitHub repo, but what about everything else?

pip install octohatrack
octohatrack LABHR/octohatrack

Octohatrack takes a GitHub repo name, and returns two lists:

  • A list of all users as defined by GitHub as a contributor
  • A list of all contributors to a project

What is a 'direct contributor'?

On any GitHub repo page, the header at the top of the file listings shows a number of commits, branches, releases and contributors. If you click the 'contributors' link, you get a list of users that contributed code to the master branch of the repo, ordered by the commits and lines of code contributed. This list is limited to the top 100 users.

GitHub has acknowledged 'Community Contributors', those that have contributed code to the master branch of repos that are dependencies of the current repo. The total count of these contributors was visible by hovering over the 'contributors' link on the main repo.

Update 2019-06-13 - GitHub now uses the term Direct and Community contributor.

Update 2020-06 - GitHub removed Community contributor visibility with a UX update.

So, what are 'all contributors', then?

That's everyone who has worked on a GitHub project.

It compiles a complete list of:

  • the GitHub-defined contributors (not just the top 100), plus
  • everyone who has
    • created an issue,
    • opened a pull requests,
    • commented on an issue,
    • replied to a pull request,
    • made any in-line comments on code,
    • edited the repo wiki
  • or in any other way interacted with the repo.

It also adds anyone manually added to the CONTRIBUTORS file on a repo (if it exists). See the bottom of CONTRIBUTORS for details on the formatting of this file.

Limitations

  • GitHub Reactions are not counted. Issue #87
  • Does not iterate over dependencies (although octohatrack could be run over these independently.)

#LABHR

"Let's All Build a Hat Rack" (#LABHR) is an original concept by Leslie Hawthorn

Read more about octohatrack:

Installation

pip install octohatrack

octohatrack requires Python 3. Check your pip --version to ensure that it's pointing to a Python 3 installation. If you have both Python 2.7 and Python 3 on your system, you may need to install using:

pip3 install octohatrack

See "Debugging: Python 3 requirement" for more information.

Usage

usage: octohatrack [-h] [--no-cache] [--wait-for-reset] [-v] username/repo

positional arguments:
  username/repo     the name of the repo to parse

optional arguments:
  -h, --help        show this help message and exit
  --no-cache        Disable local caching of API results
  --wait-for-reset  Enable waiting for rate limit reset rather than erroring
  -v, --version     show program's version number and exit

Define an environment variable for GITHUB_TOKEN to use an authentication token to avoid being Rate Limited to 60 requests per hour (allows for deeper searching).

Development Usage

For advanced use cases, like development, you have more options than the published version.

Run this repo locally

git clone https://github.com/labhr/octohatrack
cd octohatrack
virtualenv venv
source venv/bin/activate
pip install -e .
python3 -m octohatrack [arguments]

Run octohatrack in a Docker container

git clone https://github.com/labhr/octohatrack
cd octohatrack
docker build -t octohatrack .
docker run -e GITHUB_TOKEN octohatrack [arguments]

Example output

$ octohatrack LABHR/octohatrack

Checking repo exists....
Getting API Contributors...................
Getting Issue and Pull Request Contributors...............................................................................................................................................................................................................................................................................................................................................
Getting File Contributors....
Getting Wiki Contributors...

All Contributors:
Jiagod
Anna Ossowski (ossanna16)
Chandler Song (Chandler-Song)
Christopher Hiller (boneskull)
Cory Benfield (Lukasa)
Davey Shafik (dshafik)
David Beitey (davidjb)
Deb Nicholson (baconandcoconut on twitter)
Deleted user (ghost)
E. Dunham (edunham)
Gawain Lynch (GawainLynch)
Isabel Drost-Fromm (MaineC)
Jan Niggemann (jniggemann)
Joel Nothman (jnothman)
John Vandenberg (jayvdb)
Katie McLaughlin (glasnt)
Kenneth Reitz (kennethreitz)
Kirstie Whitaker (KirstieJane)
Kristian Perkins (kristianperkins)
Laura (alicetragedy)
Leslie Hawthorn (lhawthorn on twitter)
Marc Tamlyn (mjtamlyn)
Mike Sampson (mfs)
Nick Coghlan (ncoghlan)
Opal Symes (software-opal)
Parker Moore (parkr)
Patrick Connolly (patcon)
Rogerio Prado de Jesus (rogeriopradoj)
Russell Keith-Magee (freakboy3742)
Sumana Harihareswara (brainwane)
Sven Dowideit (SvenDowideit)
Tennessee Leeuwenburg (tleeuwenburg)
The Gitter Badger (gitter-badger)
Thomas A Caswell (tacaswell)
Thomas Winwood (ketsuban)
Tim Groeneveld (timgws)
Tobias Kunze (rixx)
Tom Clark (tclark)
Vladislav Mihov (skilldeliver)

Repo: LABHR/octohatrack
GitHub Contributors: 14
All Contributors: 39 πŸ‘

Debugging

Python 3 requirement

octohatrack requires Python 3.

This is because there's a number of features that require Python 3, and octohatrack is not --universal. More specifically, there are some system utils that are Python 3 only, and Unicode support in Python 3 is so much easier than in Python 2.

If you are having issues installing and are getting a octohatrack requires a Python 3 environment error, check:

  • python --version
  • pip --version

If you are running in an environment with both Python 2 and Python 3, you may need to use pip3 to install.

There are two checks in setup.py and __main__.py that will end the installation or execution, respectively, running if it doesn't detect a Python 3 environment.

If you are running in a Python 3 environment and it kicks you out, please log an issue, including your python --version, and if you're running in a virtualenv.

Cache

In order to not make duplicate API calls, octohatrack uses caching via requests-cache.

Previous versions used a local cache_file.json.

Any time an external API call is made, it gets saved to a local cache file so that any subsequent calls don't have to burn an API call.

You can disable the cache by using the --no-cache flag.

To reset the cache, remove the cache_file.json or cache.sqlite file.

If you experience ongoing issues with the caching, please log a detailed issue describing what you're seeing

Rate limiting

Even if you define a GITHUB_TOKEN, you may be rate limited for a popular repository. Using --wait-for-reset will have Octohatrack sleep until GitHub says your token is usable again.

Faster Pull Request/Issue results with Big Query

The slowest function of octohatrack is iterating through all the issues and pull requests of a repo and getting a list of all the issue/pull request openers and all commenters. This part of the data collection is probably the part that will be rate limited.

This section can be faster, but more expensive, with BigQuery.

Following the GH Archive instructions, you can get the list of the events from a repo in under 10 seconds.

⚠️ Check the BigQuery pricing page for more details, but the following query should stay under the free quota (~150GB of the 1TB limit).

SELECT
  actor.login
FROM
  `githubarchive.month.*`
WHERE
  repo.name = "username/repo"
  AND type NOT IN ("WatchEvent", "ForkEvent") -- octohatrack doesn't consider these participation
GROUP BY 
  actor.login
ORDER BY
  LOWER(actor.login) ASC

This data set doesn't understand renaming of users or repos. You may end up with old/dead aliases in your results.

If you have renamed your repo, make the following change:

WHERE
-  repo.name = "username/repo"
+ (repo.name = "username/repo" OR repo.name = "username/oldrepo")

A sample implementation of this method is available in octohatrack_bigquery.py.

Wiki

Because GitHub doesn't have an API endpoint for being able to parse gollum-based repo-wikis, octohatrack defaults to cloning wiki repos locally, and parsing via gitpython.

If there are issues cloning the wiki, or other issues, it shouldn't break an octohatrack run, but if you do encounter issues, please log an issue, and be sure to include platform information (this functionality has been tested on Mac OSX Yosemite and Ubuntu Xenial).

To do

  • include merge-only contributors

Code of Conduct

Octohatrack operates under a Code of Conduct.

License

Octohatrack is distributed under the MIT license.

This project is not affiliated with GitHub.

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