Github recornds clone and views statistics for the past two weeks noly.

StatTheGit4TAU is a python based tool to fetch, maintain and display GitHub clone and views statistics for unlimited time.

This project was forked from StatTheGit repo.

A detailed documentation of the original tool and can be found here

git clone https://github.com/Shamir-Lab/StatTheGit4TAU

cd StatTheGit4TAU
pip install -r requirements.txt

python fetch_stats.py --git_token_file <GitToken> --username <GitHub Username> --repo_names <Repository name>

• --git_token_file A file that contains GitHub personal access token.
• --username The Github username.
• --namespace The Github namespace in which projects reside. can also be identical to username.
• --repo_names Lastest date to include for clones and views.

Running fetch_stats.py will create a folder repo_stats/<-namespace->. The view and clone stats for the mentioned repositories will be fetched from the GitHub profile and saved as a csv file. If the csv files for the repository already exists the code appends the fetched data to existing stats taking care of issues such as duplicate stats, missing dates etc.

Note that Github saves only statistics of the last 14 days. To avoid loss of information, you need to run fetch_stats.py at least every 14 days (e.g. by using a cronjob). We recommend to run fetch_stats.py every 3-4 days, to avoid a scenario in which statistics were not collected due to a server fault (e.g. server is down).

# Generic
|-- repo_stats
|    |-- <namespace>
|    |    |-- <repository 1>.txt
|    |    |-- <repository 2>.txt
|    |    |-- <repository 3>.txt


# Example
|-- repo_stats
|    |-- Shamir-Lab
|    |    |-- DOMINO.txt
|    |    |-- SCAPP.txt

You can generate a summarizing table in a csv format, and a plot that tracks (unique) views and clones through time.

python display_stats.py --stat_folder repo_stats --display_type 'offline' --start_date --end_date "2021-01-01" --end_date "2021-02-01" 

Plotly is being used to plot the Github graphs. In order to create the graphs online, and have it displayed on your website, chart studio account needs to be created (see here). Once you have the API key you can use the following commands to create online graphs that can then be shared on websites.

python display_stats.py --stat_folder repo_stats --display_type 'online' --username <plotly-username> --api_key <plotly-api-key

Note that this functionality exists the original project, but was never tested for StatTheGit4TAU

• --stat_folder Folder to the GitHub stat csvs.
• --display_type Plot display functionality: can be off for no plots at all (generates table report only), offline for a static html-based plotly figure, and online for online html that can be embedded in an existing website using Plotly. The online option was never tested for StatTheGit4TAU.
• --start_date Ealiest date to include for clones and views.
• --end_date Lastest date to include for clones and views.