Side by side
auto-sklearn vs Weka
Both stand on predictive analytics software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxSelf-hosted
Pick auto-sklearn if you need free, open-source automated fitting for classification or regression and can run it on Linux. Look elsewhere if you need Windows support or macOS support that the project actively maintains.
Visit auto-sklearn Free plan Open source APILinuxMac+2
Weka offers free machine-learning software with desktop downloads, a Java API, notebook use, and community packages. Check version compatibility and GPL terms, especially when moving older serialized models or distributing derivative works.
Visit WekaThe facts
| auto-sklearn | Weka | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Yes |
| Runs on | API, Linux, Self-hosted | API, Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 3 |
| Maker | Not published | Not published |
| Website | automl.github.io | weka.waikato.ac.nz |
| On predictive analytics software | #6 of 37 | #2 of 37 |
auto-sklearn: what it does well
- Automates model fitting and ensemble construction for classification and regression.
- Fitted pipelines are compatible with the scikit-learn API.
- Users can customize metrics, splits, and feature types.
- Search procedure can be inspected.
- Open-source software is free.
What to know first
- Cannot run on Windows.
- macOS is not actively supported.
- Users must set time and memory limits.
- Parallel workers require a shared file system.
Weka: what it does well
- Free and open source under the GPL.
- Java API and Jupyter notebook use are supported.
- Downloads include Windows, Mac OS, and Linux.
- Package manager supports community-added functionality.
- Built-in help and a comprehensive manual are included.
What to know first
- Installing packages requires an internet connection.
- Official releases require Java 8 or later.
- Version 3.7 serialized models are incompatible with 3.8.
- Development version 3.9 may break compatibility.
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