Our verdict
We have not reviewed FeatureTools yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About FeatureTools
FeatureTools is an open source Python library for automated feature engineering. It uses deep feature synthesis to transform relational and time series data into features for machine learning. The library handles common data transformations and aggregations automatically.
Best for
Data scientists and ML engineers working with structured tabular data
Use cases
- Building predictive features from transactional data
- Automating time-based feature creation from event logs
- Transforming multiple relational tables into a single feature matrix
Notes
7,655 stars on GitHub. Last updated 2026-02-03. Licensed BSD-3-Clause.
Pros
- Open source with strong community support
- Reduces manual feature engineering time
- Integrates well with pandas and scikit-learn
Cons
- Can generate many irrelevant features requiring pruning
- Performance may degrade with very large datasets
- Complex to configure for non-standard data schemas
Key facts
What we have checked
- Latest version
- 1.31.0 (released 14 May 2024)
- GitHub stars
- 7,685
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How FeatureTools is growing
7,655 to 7,685
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 1.31.0
Released 1.30.0
Released 1.29.0
Released 1.28.0
Released 1.27.0
Released 1.26.0
Released 1.25.0
Released 1.24.0
Released 1.23.0
Released 1.22.0
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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