# dssg/hitchhikers-guide

The Hitchhiker's Guide to Data Science for Social Good

Repository: https://github.com/dssg/hitchhikers-guide
Canonical: https://ross.abutalabs.com/products/hitchhikers-guide
Homepage: https://dssg.github.io/hitchhikers-guide/
Language: Jupyter Notebook
License Family: other
Topics: tutorial-exercises, data-science, dssg, training, machine-learning
Last push: 2026-07-16T16:06:01+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 3780, "days_push": 48, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1050, forks 287 (observed 2026-08-28T04:03:22.800323+00:00)

## What it is
An open curriculum and guide from the Data Science for Social Good (DSSG) Fellowship containing tutorials, teach-outs, and training materials for practical data science and machine learning for social impact. It is built as a collection of Jupyter Notebook-based educational resources for fellows and self-learners.

## Use cases
- learn data science for social good at home
- find machine learning tutorials with jupyter notebooks
- prepare for a data science fellowship program
- teach a practical data science curriculum
- learn how ML is applied to public policy and nonprofits
- find data science training exercises

## When to choose
- you want free, hands-on tutorials for applied data science and ML
- you are interested in social-impact data science projects
- you are a self-learner looking for structured curriculum materials
- you are an educator building a data science course

## When to avoid
- you need production-ready software or libraries
- you want a comprehensive reference for advanced ML theory
- you need a maintained tool with a software license for commercial use

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, data-science, documentation
- domain: data-science, machine-learning, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, curriculum, social-good, fellowship-training, tutorials

## Member repositories
- dssg/hitchhikers-guide (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.800323+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 2026-08-30T07:00:17.739260+00:00, confidence not recorded.
  - readme: https://github.com/dssg/hitchhikers-guide (fetched 2026-08-28T04:03:22.800323+00:00, sha 17ca24c41b5e)
  - homepage: https://dssg.github.io/hitchhikers-guide/ (fetched 2026-08-29T13:01:51.764148+00:00, sha 7400c8870bda)
- Data as of 2026-08-30T08:39:29.467469+00:00.