Comparison
FEDOT vs autokeras
Verdict
Pick FEDOT if fEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction; 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 · FEDOT alternatives · autokeras alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | FEDOT | autokeras |
|---|---|---|
| Maintenance | Active (7d since push) As of 2w · github_public_v1 | Slowing (251d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- FEDOT
- Automated modeling and machine learning framework FEDOT
- autokeras
- AutoML library for deep learning
Stars
- FEDOT
- 709
- autokeras
- 9.3k
Forks
- FEDOT
- 94
- autokeras
- 1.4k
Open issues
- FEDOT
- 82
- autokeras
- 161
Language
- FEDOT
- Python
- autokeras
- Python
Adopt for
- FEDOT
- FEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction.
- 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
- FEDOT
- -
- autokeras
- -
Runtime
- FEDOT
- -
- autokeras
- -
License
- FEDOT
- BSD-3-Clause
- autokeras
- Apache-2.0
Last pushed
- FEDOT
- Jul 27, 2026
- autokeras
- Nov 25, 2025
Categories
- FEDOT
- Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- FEDOT
- Active (82%)
- autokeras
- Slowing (36%)
Days since push
- FEDOT
- 7d
- autokeras
- 251d
Open issues (now)
- FEDOT
- 82
- autokeras
- 161
OSV dependency advisories
- FEDOT
- Published findings
- autokeras
- No lockfile (source not queried)
Full report
- FEDOT
- Trust report
- autokeras
- Trust report
Shared compatibility
- Python · FEDOT: Python runtime · autokeras: Python runtime
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, autokeras is Apache-2.0.
- Tags unique to FEDOT: evolutionary-algorithms, genetic-programming, hyperparameter-optimization, structural-learning.
- For projects requiring automated generative design of machine-learning pipelines suitable for a wide range of tasks and data types
When NOT to use FEDOT
- In scenarios with strict real-time requirements due to its optimization time
- For environments where only specific ML libraries are acceptable and FEDOT's integrations do not meet those needs
- When the project specifically requires a non-evolutionary approach for pipeline design
Choose autokeras if…
- License: autokeras is Apache-2.0, FEDOT 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 (aimclub/FEDOT) · observed Aug 4, 2026
- GitHub forks (aimclub/FEDOT) · observed Aug 4, 2026
- Last push (aimclub/FEDOT) · observed Jul 27, 2026
- License file (BSD-3-Clause) · observed Aug 4, 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: FEDOT 709 · autokeras 9.3k (synced Aug 4, 2026).
Common questions
- What is the difference between FEDOT and autokeras?
- FEDOT: Automated modeling and machine learning framework FEDOT. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over autokeras?
- Choose FEDOT over autokeras when License: FEDOT is BSD-3-Clause, autokeras is Apache-2.0; Tags unique to FEDOT: evolutionary-algorithms, genetic-programming, hyperparameter-optimization, structural-learning; For projects requiring automated generative design of machine-learning pipelines suitable for a wide range of tasks and data types.
- When should I choose autokeras over FEDOT?
- Choose autokeras over FEDOT when License: autokeras is Apache-2.0, FEDOT 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 FEDOT?
- In scenarios with strict real-time requirements due to its optimization time For environments where only specific ML libraries are acceptable and FEDOT's integrations do not meet those needs When the project specifically requires a non-evolutionary approach for pipeline design
- 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 FEDOT or autokeras more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 709). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and autokeras open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, autokeras: Apache-2.0).
- Where can I find alternatives to FEDOT or autokeras?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and autokeras alternatives (FEDOT 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, FEDOT or autokeras?
- FEDOT: 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 FEDOT and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; autokeras trust report.