Comparison
FEDOT vs automl-gs
Verdict
Pick FEDOT if fEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · FEDOT alternatives · automl-gs alternatives
GraphCanon updated Sep 30, 2026
13views this month
Trust & integrity
| Signal | FEDOT | automl-gs |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 30, 2026 · github_public_v1 | Dormant (2534d 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 · Personal account As of Sep 30, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings 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
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- FEDOT
- 711
- automl-gs
- 1.9k
Forks
- FEDOT
- 98
- automl-gs
- 178
Open issues
- FEDOT
- 83
- automl-gs
- 28
Language
- FEDOT
- Python
- automl-gs
- Python
Adopt for
- FEDOT
- FEDOT: auto-generates ML pipelines using evolutionary algorithms, supports various tasks including classification, regression, clustering, time series prediction.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- FEDOT
- -
- automl-gs
- -
Runtime
- FEDOT
- -
- automl-gs
- -
License
- FEDOT
- BSD-3-Clause
- automl-gs
- MIT
Last pushed
- FEDOT
- Sep 29, 2026
- automl-gs
- Oct 22, 2019
Categories
- FEDOT
- Model Training
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Maintenance
- FEDOT
- Very active (96%)
- automl-gs
- Dormant (18%)
Days since push
- FEDOT
- 0d
- automl-gs
- 2534d
Open issues (now)
- FEDOT
- 83
- automl-gs
- 28
Stars delta
- FEDOT
- +2 (30d)
- automl-gs
- -2 (30d)
Open issues delta
- FEDOT
- +1 (30d)
- automl-gs
- 0 (30d)
Owner type
- FEDOT
- Organization
- automl-gs
- User
Full report
- FEDOT
- Trust report
- automl-gs
- Trust report
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, automl-gs is MIT.
- 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 automl-gs if…
- License: automl-gs is MIT, FEDOT is BSD-3-Clause.
- Tags unique to automl-gs: keras, machine-learning, python, tensorflow.
- Also covers Data & Retrieval.
- Need to rapidly prototype models with limited ML expertise
When NOT to use automl-gs
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
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 (minimaxir/automl-gs) · observed Sep 30, 2026
- GitHub forks (minimaxir/automl-gs) · observed Sep 30, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FEDOT 711 · automl-gs 1.9k (synced Sep 30, 2026).
Common questions
- What is the difference between FEDOT and automl-gs?
- FEDOT: Automated modeling and machine learning framework FEDOT. automl-gs: Automatically generate machine-learning models and code with input CSV and target field. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over automl-gs?
- Choose FEDOT over automl-gs when License: FEDOT is BSD-3-Clause, automl-gs is MIT; 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 automl-gs over FEDOT?
- Choose automl-gs over FEDOT when License: automl-gs is MIT, FEDOT is BSD-3-Clause; Tags unique to automl-gs: keras, machine-learning, python, tensorflow; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- 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 automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is FEDOT or automl-gs more popular on GitHub?
- automl-gs has more GitHub stars (1,867 vs 711). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and automl-gs open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, automl-gs: MIT).
- Where can I find alternatives to FEDOT or automl-gs?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and automl-gs alternatives (FEDOT markdown twin, automl-gs 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 automl-gs?
- FEDOT: Very active. automl-gs: 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 automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; automl-gs trust report.