AutoKeras
7.3#2 in automl softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitAutoKeras vs Lale
What both publish
| Fact | AutoKeras | Lale |
|---|---|---|
| Installation | The official installation method is pip install autokeras, with Python 3 required. | Lale can be installed from PyPI with pip install lale, and the documentation describes Core and Full setup targets. |
| Purpose | AutoKeras is an AutoML system based on Keras, developed to make machine learning accessible to everyone. | Lale is a Python library for semi-automated data science that helps select algorithms and tune pipeline hyperparameters in a type-safe way. |
| Requirements | The installation guide says AutoKeras supports Python 3 and recommends PyTorch version 2.3.0 or later with the PyTorch backend. | The installation documentation specifies Python 3.7 or later and lists Linux, Windows 10, and Mac OS X as supported operating systems. |
AutoKeras plans
- AutoKerasFree
- Open-source libraryFree
Lale plans
No prices published.
Pick AutoKeras if…
AutoKeras suits developers and machine-learning practitioners who want automated model selection within a code-based workflow. It supports several data types and allows users to customize model blocks and training validation settings.
Pick Lale if…
Lale suits Python users building semi-automated data science pipelines who want algorithm selection, hyperparameter tuning, and type-aware checks. It supports a range of data types and classification and regression tasks.