Living with Machines GitHub Statistics report

This report provides some high level statistics about GitHub repositories contained under the Living with Machines Organization. The report is mainly intended to provide some stats to aid in reporting to our funder.


Report details

Repository Statistics

The rest of this document outlines some high level stats for GitHub repositories under the Living with Machines GitHub Organization.

Overview of repositories

Currently Living with Machines has the following public repositories:

Repository file content

This section provides an overview of what type of content is in Living with Machines repositories by looking at the file extension counts note that these counts are based only on default branches so will under count for private repositories

Number of Jupyter notebooks

Living with Machines has promised a particular focus on making methods available to other researchers, one way in which the project is aiming to this is through the production of Jupyter notebooks.

File extensions counts by repository

File extensions by repository

This chart shows the number and type of files for each public Living with Machines repository note that this only considers files on the default branch of the repository. We also don't include .jpg files or .json files since these are often used as for storing data.

Stars and Forks

Stars are a GitHub feature which allows registered GitHub users to 'bookmark' a repository. A GitHub fork indicates that someone has made a copy of the repository into their own account. Since stars and forks are only relevant for public repos we only report these below


GitHub provides owners of a repository with some traffic statistics, including view stats. These are broken into 'unique' and 'total' views.

Total Views

Views over time

The top chart shows us the total views over time by repository, the bottom histogram breaks this down by view type

A breakdown of total views for each public Living with Machines repository:

Unique views

Unique views aim to not count the same person visiting a repository multiple times

A breakdown of total unique views for each public Living with Machines repository:


Clones indicate how often a repository is 'downloaded' from GitHub:

Cloning a repository pulls down a full copy of all the repository data that GitHub has at that point in time, including all versions of every file and folder for the project.

Clones are on way in which we may also be able to assess whether people are making use of a repository. Like views, clones are also broken down into unique and total values.

Total Clones

Clones over time across all repositories