Comparison
FEDOT vs autoai
Verdict
Pick FEDOT if fEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction; pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
Markdown twin · FEDOT alternatives · autoai alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | FEDOT | autoai |
|---|---|---|
| Maintenance | Active (7d since push) As of 2w · github_public_v1 | Dormant (496d 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 | Published findings 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
Stars
- FEDOT
- 709
- autoai
- 186
Forks
- FEDOT
- 94
- autoai
- 46
Open issues
- FEDOT
- 82
- autoai
- 9
Language
- FEDOT
- Python
- autoai
- Python
Adopt for
- FEDOT
- FEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction.
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
Persona
- FEDOT
- -
- autoai
- -
Runtime
- FEDOT
- -
- autoai
- -
License
- FEDOT
- BSD-3-Clause
- autoai
- Apache-2.0
Last pushed
- FEDOT
- Jul 27, 2026
- autoai
- Mar 25, 2025
Categories
- FEDOT
- Model Training
- autoai
- Model Training
Trust and health
Maintenance
- FEDOT
- Active (82%)
- autoai
- Dormant (18%)
Days since push
- FEDOT
- 7d
- autoai
- 496d
Open issues (now)
- FEDOT
- 82
- autoai
- 9
Full report
- FEDOT
- Trust report
- autoai
- Trust report
Shared compatibility
- Python · FEDOT: Python runtime · autoai: Python runtime
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, autoai 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 autoai if…
- License: autoai is Apache-2.0, FEDOT is BSD-3-Clause.
- Tags unique to autoai: ai, autoai, codegen, deep-learning.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
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 (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 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 · autoai 186 (synced Aug 4, 2026).
Common questions
- What is the difference between FEDOT and autoai?
- FEDOT: Automated modeling and machine learning framework FEDOT. autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over autoai?
- Choose FEDOT over autoai when License: FEDOT is BSD-3-Clause, autoai 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 autoai over FEDOT?
- Choose autoai over FEDOT when License: autoai is Apache-2.0, FEDOT is BSD-3-Clause; Tags unique to autoai: ai, autoai, codegen, deep-learning; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- 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 autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- Is FEDOT or autoai more popular on GitHub?
- FEDOT has more GitHub stars (709 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and autoai open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, autoai: Apache-2.0).
- Where can I find alternatives to FEDOT or autoai?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and autoai alternatives (FEDOT markdown twin, autoai 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 autoai?
- FEDOT: Active. autoai: 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 autoai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; autoai trust report.