Comparison
FEDOT vs archai
Verdict
Pick FEDOT if fEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Markdown twin · FEDOT alternatives · archai alternatives
GraphCanon updated Sep 30, 2026
17views this month
Trust & integrity
| Signal | FEDOT | archai |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 30, 2026 · github_public_v1 | Very active (1d since push) As of Sep 30, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- FEDOT
- 711
- archai
- 486
Forks
- FEDOT
- 98
- archai
- 95
Open issues
- FEDOT
- 83
- archai
- 0
Language
- FEDOT
- Python
- archai
- Python
Adopt for
- FEDOT
- FEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction.
- archai
- Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Persona
- FEDOT
- -
- archai
- -
Runtime
- FEDOT
- -
- archai
- -
License
- FEDOT
- BSD-3-Clause
- archai
- MIT
Last pushed
- FEDOT
- Sep 29, 2026
- archai
- Sep 28, 2026
Categories
- FEDOT
- Model Training
- archai
- Model Training
Trust and health
Days since push
- FEDOT
- 0d
- archai
- 1d
Open issues (now)
- FEDOT
- 83
- archai
- 0
Stars delta
- FEDOT
- +2 (30d)
- archai
- +1 (30d)
Open issues delta
- FEDOT
- +1 (30d)
- archai
- -4 (30d)
OSV dependency advisories
- FEDOT
- Published findings
- archai
- No lockfile (source not queried)
Full report
- FEDOT
- Trust report
- archai
- Trust report
Shared compatibility
- Python · FEDOT: Python runtime · archai: Python runtime
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, archai is MIT.
- Tags unique to FEDOT: evolutionary-algorithms, genetic-programming, 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 archai if…
- License: archai is MIT, FEDOT is BSD-3-Clause.
- Tags unique to archai: automated-machine-learning, darts, deep-learning, model-compression.
- Need rapid iteration in NAS projects while ensuring reproducibility
When NOT to use archai
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
- Development occurs outside Python 3.8+, limiting the application of Archai tools
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 Sep 30, 2026
- GitHub forks (aimclub/FEDOT) · observed Sep 30, 2026
- Last push (aimclub/FEDOT) · observed Sep 29, 2026
- License file (BSD-3-Clause) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/archai) · observed Sep 30, 2026
- GitHub forks (microsoft/archai) · observed Sep 30, 2026
- Last push (microsoft/archai) · observed Sep 28, 2026
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FEDOT 711 · archai 486 (synced Sep 30, 2026).
Common questions
- What is the difference between FEDOT and archai?
- FEDOT: Automated modeling and machine learning framework FEDOT. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over archai?
- Choose FEDOT over archai when License: FEDOT is BSD-3-Clause, archai is MIT; Tags unique to FEDOT: evolutionary-algorithms, genetic-programming, 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 archai over FEDOT?
- Choose archai over FEDOT when License: archai is MIT, FEDOT is BSD-3-Clause; Tags unique to archai: automated-machine-learning, darts, deep-learning, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility.
- 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 archai?
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools
- Is FEDOT or archai more popular on GitHub?
- FEDOT has more GitHub stars (711 vs 486). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and archai open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, archai: MIT).
- Where can I find alternatives to FEDOT or archai?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and archai alternatives (FEDOT markdown twin, archai 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 archai?
- FEDOT: Very active. archai: Very active. 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 archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; archai trust report.