Amazon SageMaker Autopilot vs AutoKeras
Amazon SageMaker Autopilot
aws.amazon.comAutoKeras
autokeras.comSide by side
| Figure | Amazon SageMaker Autopilot | AutoKeras |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 2 |
| Spec score · AutoML Software | 8.7 (#3) | 8.9 (#2) |
| Documentation depth | AWS publishes separate user guides, API references, deployment instructions, algorithm-support pages and quota documentation for Autopilot. | The documentation includes task tutorials, API reference pages, customization guidance, export instructions and an FAQ. |
| Purpose | Autopilot automatically creates machine learning models with full visibility and is now in SageMaker Canvas. | AutoKeras is an AutoML system based on Keras, developed to make machine learning accessible to everyone. |
| Security | AWS describes its cloud security approach as combining security of the cloud infrastructure with security in the cloud through customer controls. | The official pages opened for this research do not state security certifications or compliance claims. |
| Support | AWS provides support plans with proactive guidance, issue resolution, and tools. | The project directs users to GitHub Discussions to ask questions. |
| What it does | Amazon SageMaker Autopilot automates data inspection, preprocessing, feature engineering, algorithm selection, model training, tuning, evaluation and ranking for machine-learning projects. | AutoKeras is an AutoML library that automates deep-learning model selection and hyperparameter tuning. |
Plans
Amazon SageMaker Autopilot
- On-demandPriced on request
- Savings PlansPriced on request
- Amazon SageMaker AI pay-as-you-goFree
- SageMaker AI Free TierFree
- On-demand SageMaker AIPrice not published
In their own words
Amazon SageMaker Autopilot
Amazon SageMaker Autopilot has no write-up on Specifiction yet; its figures are above.
AutoKeras
AutoKeras is a free, open-source AutoML system based on Keras, designed to make machine learning accessible through code. It supports image and text classification and regression, as well as classification and regression for structured data. Its documentation also includes a tutorial for multi-task or multimodal datasets. Users can assemble custom models from AutoKeras blocks and let the system search for detailed configurations. Image workflows can set architecture type, normalization and data augmentation, or leave those choices for automatic tuning. The best model found can be exported as a Keras Model. The Python package is installed with pip and supports Linux, macOS and Windows, including self-hosted use. The installation guide supports Python 3 and recommends PyTorch version 2.3.0 or later with the PyTorch backend. By default, the final 20% of training data is used for validation, though users can set a different split or supply validation data. Model selection uses validation loss by default, with support for customized metrics and objectives. The project directs users to GitHub Discussions for questions.