# dfm/osrc

The Open Source Report Card

Repository: https://github.com/dfm/osrc
Canonical: https://ross.abutalabs.com/products/osrc
Homepage: http://osrc.dfm.io
Language: Python
License: MIT
License Family: permissive
Archived: true
Last push: 2023-04-09T11:40:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4884, "days_push": 1242, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1030, forks 132 (observed 2026-08-28T04:03:17.831671+00:00)

## What it is
The Open Source Report Card (OSRC) is a web application that generates reports about a user's open-source activity, originally based on GitHub data. It is a Python project deployable via docker-compose or a conda environment with a PostgreSQL database.

## Use cases
- generate a report card for my open source contributions
- analyze a GitHub user's activity and skills
- self-host an open source contribution analytics service
- track developer activity stats from GitHub data

## When to choose
- you want to self-host a GitHub activity analytics/report service
- you want a Python/Flask + PostgreSQL reference app for GitHub data analysis

## When to avoid
- you need a maintained production service - the public site is down and the project is a work in progress
- you need analytics beyond GitHub contribution data

## Facets
- artifact type: application
- maturity: maintenance
- function: analytics, data-science, web-framework, etl
- domain: developer-tools, analytics, data-science, social-media
- platform: python, self-hosted
- tags: github-analytics, report-card, docker-compose, flask, postgres, docker, web-server

## Member repositories
- dfm/osrc (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.831671+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:33.120654+00:00, confidence not recorded.
  - readme: https://github.com/dfm/osrc (fetched 2026-08-28T04:03:17.831671+00:00, sha a79a093dfe1f)
- Data as of 2026-08-30T08:39:29.467469+00:00.