This project is maintained by members of the Securing Critical Projects WG.

1. Generate a criticality score for every open source project.

2. Create a list of critical projects that the open source community depends on.

3. Use this data to proactively improve the security posture of these critical projects.

A project's criticality score defines the influence and importance of a project. It is a number between 0 (least-critical) and 1 (most-critical). It is based on the following algorithm by Rob Pike:

We use the following parameters to derive the criticality score for an open source project:

The program only requires one argument to run, the name of the repo:

$ pip3 install criticality-score

$ criticality_score --repo github.com/kubernetes/kubernetes
name: kubernetes
url: https://github.com/kubernetes/kubernetes
language: Go
created_since: 79
updated_since: 0
contributor_count: 3664
org_count: 5
commit_frequency: 102.7
recent_releases_count: 76
closed_issues_count: 2906
updated_issues_count: 5136
comment_frequency: 5.7
dependents_count: 407254
criticality_score: 0.9862

You can add your own parameters to the criticality score calculation. For example, you can add internal project usage data to re-adjust the project's criticality score for your prioritization needs. This can be done by adding the --params <param1_value>:<param1_weight>:<param1_max_threshold> ... argument on the command line.

Before running criticality score, you need to create a GitHub access token and set it in environment variable GITHUB_AUTH_TOKEN. This helps to avoid the GitHub's api rate limits with unauthenticated requests.

# For posix platforms, e.g. linux, mac:
export GITHUB_AUTH_TOKEN=<your access token>

# For windows:
set GITHUB_AUTH_TOKEN=<your access token>

There are three formats currently: default, json, and csv. Others may be added in the future.

These may be specified with the --format flag.

If you're only interested in seeing a list of critical projects with their criticality score, we publish them in csv format.

This data is available on Google Cloud Storage and can be downloaded via the gsutil command-line tool or the web browser here.

NOTE: Currently, these lists are derived from projects hosted on GitHub ONLY. We do plan to expand them in near future to account for projects hosted on other source control systems.

$ gsutil ls gs://ossf-criticality-score/*.csv
gs://ossf-criticality-score/c_top_200.csv
gs://ossf-criticality-score/cplusplus_top_200.csv
gs://ossf-criticality-score/go_top_200.csv
gs://ossf-criticality-score/java_top_200.csv
gs://ossf-criticality-score/js_top_200.csv
gs://ossf-criticality-score/python_top_200.csv
gs://ossf-criticality-score/rust_top_200.csv

This data is generated using this generator script. For example, to generate a list of top 200 C language projects, run:

$ python3 -u -m criticality_score.generate \
    --language c --count 200 --sample-size 1000

If you want to get involved or have ideas you'd like to chat about, we discuss this project in the Securing Critical Projects WG meetings.

See the Community Calendar for the schedule and meeting invitations.

See the Contributing documentation for guidance on how to contribute.