Skip to main content

Command line tools for GitHub repo statistics

Project description

ghrepo-stats PyPI version

Have you ever wondered how the number of stargazers or the number of open issues has changed over time for your (or any) GitHub repository? I did, so I wrote this small command line tool to do this.

ghrepo-stats uses pygithub to collect some statistics from a specific repository using a command line tool and show it using matplotlib or write it to a csv file.

Features

The following sub-commands are supported:

  • stars: shows the number of stargazers over time (caveat: stargazers that have removed their star are not shown, as the info is not available)
  • issues: shows the number of currently open issues over time
  • prs: shows the number of currently open pull requests over time
  • commits: shows the number of commits over the last year
  • codesize: shows the change of the code size over time measured by the number of added and deleted lines
  • issue-life: shows the average life time in days of issues over time (sampled once a week)
  • pr-life: shows the average life time in days of issues over time (sampled once a week)

Caution: Using sub-commands related to issues and PRs on repositories with many (open or close) issues will take a lot of time due to API access limitations.

Installation

If you want to try it, you can install it from PyPi:

pip install ghrepo-stats

Or you can install the current master from GitHub:

pip install git+https://github.com/mrbean-bremen/ghrepo-stats

Usage

To use this, you need a personal access token able to read public repositories for your GitHub account. The user name and token is expected to be found in the file ghrepo-stats.ini, either in the repository root, or in your home path.

The contents should be in the form:

[auth]
username = my-github-username
token = 123456789abcdef0123456789abcdef012345678

To get usage information you can now type:

$ show-ghstats -h
usage: show-ghstats [-h] [--verbose] [--csv CSV] sub_command repo_name

Shows GitHub repo statistics

positional arguments:
  sub_command    The kind of statistics to show. Possible values: 'issues',
                 'prs', 'stars', 'commits', 'codesize', 'issue-life', 'pr-
                 life'.
  repo_name      Full repository name in the form <repo_owner>/<repo_name>.

optional arguments:
  -h, --help     show this help message and exit
  --verbose, -v  Outputs diagnostic information
  --csv CSV      Write the output into a csv file with the given file path

So, for example, to get a star plot of a specific repository, you can write:

$ show-ghstats stars "my-github-username/my-repo"

If you want to have the numbers saved in a csv file instead to play around with the numbers you can write:

$ show-ghstats stars "my-github-username/my-repo" --csv=my_repo-issues

This will write a file my_repo-issues.csv with the numbers (date+time / number of issues) in the current path.

Examples

Get some measure of popularity change by showing the number of stargazers over time (note: stars that have been retracted are not counted):

$ show-ghstats stars "jmcgeheeiv/pyfakefs"

stars

Check how fast issues are handled over time. An increasing curve means ever more unresolved issues (also depends on the policies of the specific project - some projects leave issues open indefinitely, while others close outdated issues):

$ show-ghstats issue-life "jmcgeheeiv/pyfakefs"

issue-lifetime

Check how fast issues are handled by showing how many issues have been open over time:

$ show-ghstats issues "vvvv/svg"

issues

See how the code size changed over time measured in code additions/deletions:

$ show-ghstats codesize "pytest-dev/pytest"

codesize

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

ghrepo-stats-0.3.1.tar.gz (87.9 kB view hashes)

Uploaded Source

Built Distribution

ghrepo_stats-0.3.1-py3-none-any.whl (7.4 kB view hashes)

Uploaded Python 3

Supported by

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