matteocourthoud/awesome-causal-inference resource
A curated list of causal inference libraries, resources, and applications. observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 78
- Release rhythm 35
- Longevity 86
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1217
- days_rel: n/a
- days_push: 134
- n_releases_24m: 0
Adoption not part of the score
1187 stars · 187 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of causal inference resources including courses, books, libraries, papers, and industry applications. It serves as a reference directory rather than a software tool.
Use cases
- find causal inference libraries
- learn causal inference from courses and books
- discover industry applications of causal inference
- find research papers on causal inference
- locate tutorials on causal methods
When to choose
- you need a starting point to explore the causal inference ecosystem
- you want curated learning materials on causal methods
- you are comparing available causal inference libraries
When to avoid
- you need runnable causal inference software itself
- you want a maintained code library rather than a link list
Facets
learning-resource · maturity active
documentation machine-learning data-science tutorials awesome-lists causal-inference awesome-list curated-resources econometrics statistics web-server
1 source
- readme: https://github.com/matteocourthoud/awesome-causal-inference · fetched 2026-08-28 · 67c109cb308d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| matteocourthoud/awesome-causal-inference | main | 65 |
For agents
markdown · JSON · MCP: product_card(name="matteocourthoud/awesome-causal-inference")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem