Comparison
FEDOT vs FATE
Verdict
Pick FEDOT if fEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction; pick FATE if fATE is an industrial-grade framework for federated learning focused on privacy-preserving model training across single or multiple nodes.
Markdown twin · FEDOT alternatives · FATE alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | FEDOT | FATE |
|---|---|---|
| Maintenance | Active (7d since push) As of 2w · github_public_v1 | Dormant (623d 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
- FATE
- An Industrial Grade Federated Learning Framework
Stars
- FEDOT
- 709
- FATE
- 6.1k
Forks
- FEDOT
- 94
- FATE
- 1.6k
Open issues
- FEDOT
- 82
- FATE
- 21
Language
- FEDOT
- Python
- FATE
- Python
Adopt for
- FEDOT
- FEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction.
- FATE
- FATE is an industrial-grade framework for federated learning focused on privacy-preserving model training across single or multiple nodes.
Persona
- FEDOT
- -
- FATE
- -
Runtime
- FEDOT
- -
- FATE
- -
License
- FEDOT
- BSD-3-Clause
- FATE
- Apache-2.0 License permits use, study, sharing, and modification with few conditions but no warranty given to users.
Last pushed
- FEDOT
- Jul 27, 2026
- FATE
- Nov 19, 2024
Categories
- FEDOT
- Model Training
- FATE
- Model Training
Trust and health
Maintenance
- FEDOT
- Active (82%)
- FATE
- Dormant (18%)
Days since push
- FEDOT
- 7d
- FATE
- 623d
Open issues (now)
- FEDOT
- 82
- FATE
- 21
OSV dependency advisories
- FEDOT
- Published findings
- FATE
- No lockfile (source not queried)
Full report
- FEDOT
- Trust report
- FATE
- Trust report
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, FATE is Apache-2.0.
- Tags unique to FEDOT: automl, evolutionary-algorithms, genetic-programming, hyperparameter-optimization.
- 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 FATE if…
- License: FATE is Apache-2.0, FEDOT is BSD-3-Clause.
- Tags unique to FATE: algorithm, fate, federated-learning, machine-learning.
- When needing secure multi-party computation to train machine-learning models across distributed data without sharing sensitive information
When NOT to use FATE
- In scenarios where the deployment complexity of cross-node communications is undesirable or exceeds resource capabilities
- If your project does not require federated learning's collaborative model training across disjoint data sets
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 (FederatedAI/FATE) · observed Aug 4, 2026
- GitHub forks (FederatedAI/FATE) · observed Aug 4, 2026
- Last push (FederatedAI/FATE) · observed Nov 19, 2024
- 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 · FATE 6.1k (synced Aug 4, 2026).
Common questions
- What is the difference between FEDOT and FATE?
- FEDOT: Automated modeling and machine learning framework FEDOT. FATE: An Industrial Grade Federated Learning Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over FATE?
- Choose FEDOT over FATE when License: FEDOT is BSD-3-Clause, FATE is Apache-2.0; Tags unique to FEDOT: automl, evolutionary-algorithms, genetic-programming, hyperparameter-optimization; For projects requiring automated generative design of machine-learning pipelines suitable for a wide range of tasks and data types.
- When should I choose FATE over FEDOT?
- Choose FATE over FEDOT when License: FATE is Apache-2.0, FEDOT is BSD-3-Clause; Tags unique to FATE: algorithm, fate, federated-learning, machine-learning; When needing secure multi-party computation to train machine-learning models across distributed data without sharing sensitive information.
- 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 FATE?
- In scenarios where the deployment complexity of cross-node communications is undesirable or exceeds resource capabilities If your project does not require federated learning's collaborative model training across disjoint data sets
- Is FEDOT or FATE more popular on GitHub?
- FATE has more GitHub stars (6,089 vs 709). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and FATE open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, FATE: Apache-2.0).
- Where can I find alternatives to FEDOT or FATE?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and FATE alternatives (FEDOT markdown twin, FATE 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 FATE?
- FEDOT: Active. FATE: Dormant. 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 FATE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; FATE trust report.