Our verdict
We have not reviewed FEDOT yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About FEDOT
FEDOT is an open-source Python framework for automated modeling and machine learning. It uses evolutionary algorithms to build and optimize composite models from data, automating model selection and structure search.
Best for
Data scientists and researchers who need automated model composition and structure optimization.
Use cases
- Automating model pipeline construction for tabular data
- Exploring and optimizing time series forecasting models
- Building interpretable composite models for scientific data
Notes
704 stars on GitHub. Last updated 2026-06-01. Licensed BSD-3-Clause.
Pros
- Automates model structure search, reducing manual trial and error
- Supports multiple model types including regression, classification, and time series
- Active community with 700+ GitHub stars and ongoing development
Cons
- Limited to Python ecosystem, not language-agnostic
- Evolutionary search can be computationally expensive for large datasets
- Documentation and tutorials are less extensive than mainstream ML frameworks
Key facts
What we have checked
- Latest version
- 0.7.5 (released 10 Mar 2025)
- GitHub stars
- 711
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How FEDOT is growing
704 to 711
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.7.5
Released 0.7.4
Released 0.7.3.2
Released 0.7.3.1
Released 0.7.3
Released 0.7.2
Released 0.7.1
Released 0.7.0
Released 0.6.2
Released 0.6.1
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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