AutoKeras
7.3#2 in automl softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitAutoKeras vs BigML
What both publish
| Fact | AutoKeras | BigML |
|---|---|---|
| Licence | The source repository and package metadata specify Apache License 2.0. | The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source. |
| Model export | The best searched model can be exported as a Keras model. | Models can be exported as JSON PML or PMML for local or embedded predictions in applications and edge devices. |
| Security | The official pages opened for this research do not state security certifications or compliance claims. | BigML states that connections use HTTPS, resources are private by default, and staff cannot access customer data without explicit consent. |
| Support | The project directs users to GitHub Discussions to ask questions. | BigML Lite includes standard 8x5 email and chat support with a 48-hour maximum response time; Enterprise lists customized email and chat with a 24-hour maximum response time. |
| System requirements | The installation page recommends PyTorch 2.3.0 or newer and the current package metadata requires Python 3.8 or newer. | Users must supply compatible hardware, software, connectivity and internet access; the service does not specify a client operating-system requirement. |
AutoKeras plans
- AutoKerasFree
- Open-source libraryFree
BigML plans
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
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 BigML if…
BigML suits analysts, software developers, and scientists who need machine-learning tools, workflow automation, or model deployment options. Its API and language bindings may suit teams integrating models into software.