krzjoa / awesome-python-data-science
Probably the best curated list of data science software in Python.
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
- Featuretools. Automated feature engineering.
- Feature Engine. Feature engineering package with sklearn-like functionality.
- OpenFE. Automated feature generation with expert-level performance.
- skl-groups. A scikit-learn addon to operate on set/"group"-based features.
- Feature Forge. A set of tools for creating and testing machine learning features.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 3,640
- +6 this week
- Licence
- CC-BY-4.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 88% closed
- 1 still open
- Pull requests
- 47 merged
- 26 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
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| r0f1 / datascience | 4,688 | 14 days ago | CC0-1.0 | No downloads |
| dylanhogg / awesome-python | 470 | 8 days ago | MIT | No downloads |
| kyrolabs / awesome-langchain | 9,594 | yesterday | CC0-1.0 | No downloads |
More: topics and project record
Topics
- awesome
- awesome-list
- awesome-python
- scikit-learn
- python
- deep-learning
- machine-learning
- data-science
- data-visualization
- data-analysis
- statistics
Project record
- JobLists and guides
- StatusListed
- Commits500
- Forks466
- Watching60
- Stars in 28 days+32
- CreatedDec 21, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026