BCG-X-Official / facet
Human-explainable AI.
Why this job: works in the areas we cover, but does not say which job it does
What it does
FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 534
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.2.2
- Released 14 months ago
- Built with
- Jupyter Notebook
- 88% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 80% closed
- 6 still open
- Pull requests
- 337 merged
- 0 waiting
- Releases
- 28
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| scikit-learn / scikit-learn | 68,154 | today | BSD-3-Clause | No downloads |
| leovan / data-science-introduction-with-r | 136 | 10 months ago | Custom | No downloads |
| ModelOriented / DALEX | 1,491 | 4 months ago | GPL-3.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Jupyter Notebook 88%
- Python 12%
- CSS <1%
- Shell <1%
Topics
- data-science
- machine-learning
- python
- data-analytics
- model-selection
- hyperparameter-tuning
- interpretability
- explainable-ai
- shap-vector-decomposition
- statistics
- simulation
Project record
- JobOther AI tools
- StatusListed
- Commits3,184
- Forks47
- Watching10
- Stars in 28 days+3
- CreatedAug 5, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026