auto-sklearn vs FEDOT
auto-sklearn
automl.github.ioFEDOT
fedot.readthedocs.ioSide by side
| Figure | auto-sklearn | FEDOT |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AutoML Software | 7.8 (#12) | 8.7 (#4) |
| Extensibility | Users can add classification, regression, and feature-preprocessing methods by implementing and registering wrapper classes. | The project says FEDOT supports widely used ML libraries such as scikit-learn, CatBoost, and XGBoost, and allows custom libraries to be integrated. |
| Maker | The AutoML website identifies AutoML as a project of the Chair for Machine Learning at the University of Freiburg. | FEDOT is developed and maintained by the NSS Lab, part of the National Center for Cognitive Technologies at ITMO University in Russia. |
Plans
In their own words
auto-sklearn
auto-sklearn has no write-up on Specifiction yet; its figures are above.
FEDOT
FEDOT is a free, open-source framework for automating the creation of data-driven composite models. It supports classification, regression, clustering and time-series forecasting, with tabular, text and image inputs, including multimodal combinations. Its workflow covers preprocessing, model selection, tuning, cross-validation and serialization. Users can leave parameters unspecified for fuller automation or provide them to guide pipeline composition. FEDOT uses the GOLEM library to optimize graph-based pipelines with meta-heuristic methods. Presets include best_quality, fast_train, stable, auto, gpu, ts and automl; auto is the default. Data can come from CSV files, pandas DataFrames, NumPy arrays or time-series CSV data. It can be installed with pip, and the API can be called from a console without Python code, saving predictions as CSV files. GPU evaluation uses RAPIDS and supports a specified set of models. The project is distributed under the BSD 3-Clause license and supports Windows, Linux and macOS.