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brycewang-stanford

brycewang-stanford/StatsPAI

PythonMITactive
91Health

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

Stars317
Forks67
Open Issues0
Contributors67
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
16
Popularity
25
#agent-native#ai-agents#causal-discovery#causal-inference#data-science#difference-in-differences#double-machine-learning#econometrics#instrumental-variables#llm#mcp#panel-data#policy-evaluation#python#regression-discontinuity#rstats#stata#statistics#synthetic-control#treatment-effects
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Should you contribute to brycewang-stanford/StatsPAI?

brycewang-stanford/StatsPAI has a FoundDev health score of 91/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

brycewang-stanford91

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

active
31767 contributors
0d ago

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