The best EvalML alternatives
The rest of Best AutoML Software, in this site's order: each with what it costs, where it runs and its record score.
It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation.
It suits users building supervised models from tabular data who want configurable automation and experiment summaries.
AutoKeras suits developers who want code-based tools to automate model selection and configuration for supported data tasks.
It suits people building predictive models who want automated model generation alongside options to inspect and adjust data preparation and training.
JADBio is intended for life scientists and may also suit research institutions, biotech and pharma companies, and other scientists working with…
AutoGluon suits Python users building predictive models from tabular, time-series or multimodal data.
FEDOT may suit developers and researchers who want to automate parts of model creation across supported data types and tasks.
LightAutoML is aimed at data scientists and analysts working with tabular or text data who want to automate parts of pipeline creation.
It may suit individuals, hobbyists, and non-profits seeking predictive models from structured data, as the Free plan is described for those audiences.
FLAML suits developers and data scientists who need automated model selection, tuning, forecasting, ranking, or language-model adaptation.
Auto-PyTorch suits developers and machine-learning practitioners who want to automate model search in a self-hosted, code-based workflow.
It suits enterprises developing and governing AI, especially organizations in regulated industries.
It suits people building classification or regression models on Linux who want automated fitting and ensemble construction.
It suits teams building search, recommendation, generative AI, chatbot, or multimodal applications through cloud APIs.
