mckinsey/causalnex
Some data may be outdated — see provenance labels.
A Python library that helps data scientists to infer causation rather than observing correlation. observed · 2026-09-21
Health v2 · maintenance only
64/100
- Activity 92
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2504
- days_rel: n/a
- days_push: 50
- n_releases_24m: 0
Adoption not part of the score
2478 stars · 291 forks observed · 2026-09-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
CausalNex is a Python library for causal reasoning with Bayesian Networks, supporting structure learning, domain-expert augmentation of relationships, and estimation of intervention effects. It is now discontinued and archived by McKinsey as of June 2026, receiving no further updates or security patches.
Use cases
- learn causal structure from data
- build bayesian networks for what-if analysis
- estimate effect of interventions on outcomes
- augment learned causal graphs with domain knowledge
- go beyond correlation to infer causation in python
When to choose
- you need a mature archived codebase for bayesian network causal reasoning and accept no maintenance
- your project already depends on causalnex and you only need stability
When to avoid
- you need actively maintained software with bug fixes and security patches
- starting a new project requiring long-term support
Facets
library · maturity abandoned
machine-learning data-science data-science machine-learning python causal-inference bayesian-networks causal-discovery what-if-analysis discontinued algorithms
1 source
- readme: https://github.com/mckinsey/causalnex · fetched 2026-09-21 · d54c3a6c1881
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mckinsey/causalnex | main | 64 |
For agents
markdown · JSON · MCP: product_card(name="mckinsey/causalnex")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem