Amazon SageMaker Autopilot vs TPOT
Amazon SageMaker Autopilot
aws.amazon.comTPOT
epistasislab.github.ioSide by side
| Figure | Amazon SageMaker Autopilot | TPOT |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 5 | 1 |
| Spec score · AutoML Software | 8.7 (#3) | 7.3 (#18) |
| Founded | 2024 | 2016 |
| Integrations | Reviewer evidence describes integrations with Amazon S3, IAM, CloudWatch and ECR, while AWS documents Studio and Canvas integration. | The installation documentation lists scikit-learn and offers extra scikit-learn extensions through the tpot[sklearnex] installation option. |
| Purpose | Autopilot automatically creates machine learning models with full visibility and is now in SageMaker Canvas. | TPOT is a Python automated machine learning tool that optimizes machine learning pipelines using genetic programming. |
| Support | AWS provides support plans with proactive guidance, issue resolution, and tools. | The project directs users to its GitHub issues to report bugs or suggest enhancements and to discuss extensions. |
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.