EvalML
6.0#14 in automl softwareAPILinuxmacOSSelf-hosted
VisitEvalML vs Obviously AI
Obviously AI
7.1#3 in low-code machine learning platforms softwareFree planFree planWebAPI
VisitWhat both publish
| Fact | EvalML | Obviously AI |
|---|---|---|
| Automation | The project README lists automation features including data-quality checks and cross-validation. | The homepage describes automatic model monitoring combined with if-this-then-that automations using Zapier. |
| Headquarters | Irvine, California, United States | Crunchbase places the company in San Francisco, California. |
| 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. | The pricing page lists email support for Free and dedicated AI strategist, dedicated data scientist, video call, and chat support for the paid plans. |
| What it does | EvalML is an AutoML library that builds, optimizes, and evaluates machine-learning pipelines using domain-specific objective functions. | Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming. |
EvalML plans
No prices published.
Obviously AI plans
- FreeFree
- Enterprise PlanPriced on request
- SMB PlanPriced on request
- Startup PlanPriced on request
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 Obviously AI if…
The Free plan is described as intended for individuals, hobbyists, and non-profits. Obviously AI may suit users who have structured CSV data and want to build predictive models without code.