Comparison
featuretools vs autokeras
Verdict
Pick featuretools if a Python library dedicated to automating feature engineering processes designed to craft features from complex datasets that are interpretable and potentially boost the accuracy of machine learning models; pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Markdown twin · featuretools alternatives · autokeras alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | featuretools | autokeras |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3w · github_public_v1 | Slowing (251d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- featuretools
- An open source python library for automated feature engineering
- autokeras
- AutoML library for deep learning
Stars
- featuretools
- 7.7k
- autokeras
- 9.3k
Forks
- featuretools
- 915
- autokeras
- 1.4k
Open issues
- featuretools
- 168
- autokeras
- 161
Language
- featuretools
- Python
- autokeras
- Python
Adopt for
- featuretools
- A Python library dedicated to automating feature engineering processes designed to craft features from complex datasets that are interpretable and potentially boost the accuracy of machine learning models.
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Persona
- featuretools
- -
- autokeras
- -
Runtime
- featuretools
- -
- autokeras
- -
License
- featuretools
- BSD-3-Clause
- autokeras
- Apache-2.0
Last pushed
- featuretools
- Jul 27, 2026
- autokeras
- Nov 25, 2025
Categories
- featuretools
- Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- featuretools
- Very active (96%)
- autokeras
- Slowing (36%)
Days since push
- featuretools
- 6d
- autokeras
- 251d
Open issues (now)
- featuretools
- 168
- autokeras
- 161
Full report
- featuretools
- Trust report
- autokeras
- Trust report
Shared compatibility
- Python · featuretools: Python runtime · autokeras: Python runtime
Choose featuretools if…
- License: featuretools is BSD-3-Clause, autokeras is Apache-2.0.
- Tags unique to featuretools: automated-feature-engineering, feature-engineering.
- When the goal is to create high-quality features in a semi-automated manner using prior knowledge of relationships within data, enhancing interpretability of machine learning models
When NOT to use featuretools
- If a project requires extremely lightweight solutions that avoid dependencies and overheads associated with complex library packages
- In settings where the underlying data lacks clear relational structure, as Featuretools excels when data relationships are well-defined and can be exploited
Choose autokeras if…
- License: autokeras is Apache-2.0, featuretools is BSD-3-Clause.
- Tags unique to autokeras: autodl, deep-learning, keras, machine-learning.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alteryx/featuretools) · observed Aug 3, 2026
- GitHub forks (alteryx/featuretools) · observed Aug 3, 2026
- Last push (alteryx/featuretools) · observed Jul 27, 2026
- License file (BSD-3-Clause) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: featuretools 7.7k · autokeras 9.3k (synced Aug 3, 2026).
Common questions
- What is the difference between featuretools and autokeras?
- featuretools: An open source python library for automated feature engineering. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose featuretools over autokeras?
- Choose featuretools over autokeras when License: featuretools is BSD-3-Clause, autokeras is Apache-2.0; Tags unique to featuretools: automated-feature-engineering, feature-engineering; When the goal is to create high-quality features in a semi-automated manner using prior knowledge of relationships within data, enhancing interpretability of machine learning models.
- When should I choose autokeras over featuretools?
- Choose autokeras over featuretools when License: autokeras is Apache-2.0, featuretools is BSD-3-Clause; Tags unique to autokeras: autodl, deep-learning, keras, machine-learning; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I avoid featuretools?
- If a project requires extremely lightweight solutions that avoid dependencies and overheads associated with complex library packages In settings where the underlying data lacks clear relational structure, as Featuretools excels when data relationships are well-defined and can be exploited
- When should I avoid autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- Is featuretools or autokeras more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 7,665). Stars measure visibility, not whether either tool fits your constraints.
- Are featuretools and autokeras open source?
- Yes - both are open-source projects on GitHub (featuretools: BSD-3-Clause, autokeras: Apache-2.0).
- Where can I find alternatives to featuretools or autokeras?
- GraphCanon lists graph-backed alternatives at featuretools alternatives and autokeras alternatives (featuretools markdown twin, autokeras markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, featuretools or autokeras?
- featuretools: Very active. autokeras: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for featuretools and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: featuretools trust report; autokeras trust report.