EvalML
6.0#14 in automl softwareAPILinuxmacOSSelf-hosted
VisitEvalML vs MLJAR AutoML
MLJAR AutoML
7.1#3 in automl softwareFrom $20 a monthFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | EvalML | MLJAR AutoML |
|---|---|---|
| Headquarters | Irvine, California, United States | Łapy, Poland |
| Purpose | EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. | MLJAR AutoML automates supervised machine learning for tabular data, including binary classification, multiclass classification, and regression. |
| Support | The project directs users to Stack Overflow for usage questions, GitHub issues for bugs and feature requests, Slack for development discussion, and [email protected] for other questions. | MLJAR’s About page invites users to contact the team with questions and says they are happy to help. |
EvalML plans
No prices published.
MLJAR AutoML plans
- FreeFree
- mljar-supervised Python packageFree
- Pro$20 a month
- Business$60 a month
- Perpetual license$199, paid once
Pick EvalML if…
EvalML suits people who want to automate machine-learning pipeline creation and optimization in code. It may also fit teams combining supervised machine-learning workflows with Featuretools and Compose.
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.