linkedin / LiFT
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Why this job: works in the areas we cover, but does not say which job it does
What it does
This library was created by Sriram Vasudevan and Krishnaram Kenthapadi (work done while at LinkedIn).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 173
- On GitHub
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.3.0
- Released 5 years ago
- Built with
- Scala
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 67% closed
- 1 still open
- Pull requests
- 7 merged
- 0 waiting
- Releases
- 7
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| fairlearn / fairlearn | 2,306 | 5 days ago | MIT | No downloads |
| microsoft / responsible-ai-toolbox | 1,855 | 2 days ago | MIT | No downloads |
| cvs-health / langfair | 261 | 2 months ago | Custom | No downloads |
More: languages, topics and project record
Languages
- Scala 100%
Topics
- fairness
- fairness-ai
- fairness-ml
- machine-learning
- scala
- spark
Project record
- JobOther AI tools
- StatusListed
- Commits18
- Forks21
- Watching13
- Stars in 28 days0
- CreatedJul 1, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026