LightAutoML
6.3#8 in automl softwareFree planFree planWebLinuxmacOSSelf-hosted
VisitLightAutoML vs MLJAR AutoML
MLJAR AutoML
7.1#3 in automl softwareFrom $20 a monthFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | LightAutoML | MLJAR AutoML |
|---|---|---|
| Integrations | The project offers optional installation extras for NLP, computer vision, and reports, and its tutorial demonstrates a SQL data source. | The Python package integrates with Mercury to generate prediction apps that support single predictions and batch CSV predictions. |
| Purpose | LightAutoML is an open-source Python library for automated machine learning on tabular and text data. | MLJAR AutoML automates supervised machine learning for tabular data, including binary classification, multiclass classification, and regression. |
| Support | The repository directs users to its Slack community or Telegram group for advice and GitHub issues for bug reports and feature requests. | MLJAR’s About page invites users to contact the team with questions and says they are happy to help. |
LightAutoML plans
- LightAutoMLFree
MLJAR AutoML plans
- FreeFree
- mljar-supervised Python packageFree
- Pro$20 a month
- Business$60 a month
- Perpetual license$199, paid once
Pick LightAutoML if…
LightAutoML suits data scientists and analysts working with tabular or text data who want to automate parts of model and pipeline creation. Its current dataset support is limited to independent samples in each row.
Pick MLJAR AutoML if…
MLJAR AutoML suits people building supervised models from tabular data who want notebook or Python workflows. It is not aimed at forecasting or time-series modeling, and users should account for variation in reports and explanations.