py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- Stars
- 4,850 stars
- Forks
- 834 forks
- Language
- Jupyter Notebook
- License
- OTHER
- Created
- Apr 30, 2018
- Last push
- Nov 9, 2026
- Updated
- Nov 11, 2026
Admitted to the Repository Index on Nov 10, 2026: 4,849 stars on 2026-11-10.
Star History
188 days recorded, May 8, 2026 – Nov 11, 2026 (UTC). Net change +252 stars.
The star count of each day is the latest count minus the net stars of the later days.
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Star History chart
[](https://awesomerepos.com/py-why/EconML) Badge
[](https://awesomerepos.com/py-why/EconML) Timeline
It gained stars on 141 of the 188 days recorded since May 8, 2026.
Its largest 7 days were Jun 24, 2026 to Jun 30, 2026: 17 stars.
In the 30 days to Nov 11, 2026 it got 46 stars, 44% more than in the 30 days before.
It had 4,598 stars before May 8, 2026 and has 4,850 stars now: 150 fewer than 5,000.
- Created on the Repository Host
- Release v0.14.1
- Release v0.15.0
- Release v0.15.1
- Release v0.16.0
- +5 stars in one day
- Largest star day recorded: +9 stars
- Release v0.17.0
- +5 stars in one day
- Latest push
- Entered the Repository Index: 4,849 stars on 2026-11-10
The timeline comes from the creation date and the releases on the Repository Host, the Admission, the Star History, and the Observations. Star milestones show only when the Star History records the day. The list shows up to 5 stable releases from the latest 10 releases recorded. When none of them is stable, one item counts the pre-releases. On the chart of net stars each day, a solid line marks each recorded release.
Forks and pushes
From 2 Observations, Nov 11, 2026 – Nov 12, 2026. Forks +2. AwesomeRepos saw a new push on 0 of 1 days.
- Nov 12, 2026: no new push
A filled day: the last push time changed since the Observation before it.
Health facts
Measured facts in four separate dimensions, each with a date and a source. AwesomeRepos does not add them into one score. AwesomeRepos reads the weekly commits, the changelog, and the community files each week for the 5,000 visible repositories with the most stars and for each rising repository. How AwesomeRepos defines each check
Maintenance
2 of 4 checks (2 without data)-
Yes: Not archived
GitHub does not mark the repository as archived. Source
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Yes: A push in the last 90 days
Last push on 2026-11-09, 3 days ago. Source
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No data: Commits in the last 13 weeks
No data: AwesomeRepos has not read the weekly commits.
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No data: Commits in 26 or more of the last 52 weeks
No data: AwesomeRepos has not read the weekly commits.
Releases
2 of 3 checks (1 without data)-
Yes: A release in the last 365 days
Newest release v0.17.0 on 2026-08-04, 99 days ago. 1 release in the last 365 days. Source
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Yes: The newest release tag is a semantic version
The newest release tag is v0.17.0. Source
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No data: A changelog file at the root
No data: AwesomeRepos has not scanned this repository.
Security practice
0 of 1 check (1 without data)-
No data: A security policy
No data: AwesomeRepos has not scanned this repository.
AwesomeRepos has not asked OpenSSF Scorecard about this repository.
Community files
1 of 3 checks (2 without data)-
Yes: A licence
GitHub finds a licence file, but cannot name the licence. Source
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No data: A contributing guide
No data: AwesomeRepos has not scanned this repository.
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No data: A code of conduct
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Dependencies in the index
This section shows the packages that connect this repository to other repositories in the index.
AwesomeRepos has not scanned the dependency graph of this repository yet. The scan reads each visible repository, the most stars first.
2 scanned repositories name a package from this repository.
Uses (in the index) · 0
No data.
Used by (in the index) · 2
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PyPI: econml
- py-why/dowhy 8.4K
PyPI: econml
Sources: the GitHub dependency graph of each repository, and deps.dev for the source repository of each package . A dependency graph also names development packages. deps.dev takes most source repositories from package metadata. How the dependency graph is made
Observations
Latest Observation, Nov 12, 2026: 4,850 stars, 834 forks, last push Nov 9, 2026, not archived. One of 2 Observations since Nov 11, 2026.