mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Why this job: topics: neural-network, scikit-learn, machine-learning
What it does
A Python AutoML package to train models, discover features, and explain predictions.
Get started
python -m pip install 'mljar-supervised==1.4.0rc6'- Maintenance
- Active
- Last commit 7 days ago
- Stars
- 3,306
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.3.2
- Released 3 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 89% closed
- 79 still open
- Pull requests
- 54 merged
- 1 waiting
- Releases
- 73
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- automl
- machine-learning
- mljar
- data-science
- scikit-learn
- hyperparameter-optimization
- feature-engineering
- xgboost
- random-forest
- neural-network
- lightgbm
- catboost
Project record
- JobAI libraries and models
- StatusListed
- Commits1,365
- Forks449
- Watching44
- Stars in 28 days+6
- CreatedNov 5, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026