| 01 | AWS SageMaker | 86.4 |
| 02 | Azure Machine Learning | 65.6 |
| 03 | Vertex AI | 46.6 |
| 04 | Databricks | 44.7 |
| 05 | Snowflake | 27.6 |
| 06 | PyTorch | 22.5 |
| 07 | ClearML | 22.4 |
| 08 | TensorFlow | 20.8 |
| 09 | Scikit-learn | 20.0 |
| 10 | RunPod | 18.2 |
| 11 | H2O.ai | 17.2 |
| 12 | AWS | 14.7 |
| 13 | Google Cloud Platform | 14.1 |
| 14 | Microsoft Azure | 13.5 |
| 15 | GMI Cloud | 12.5 |
| 16 | DeepInfra | 11.8 |
| 17 | KNIME | 10.8 |
| 18 | Google Colab | 10.0 |
| 19 | Snowflake Cortex | 9.6 |
| 20 | Domino Data Lab | 9.5 |
| 21 | AWS SageMaker Serverless | 9.2 |
| 22 | Vertex AI serverless endpoints | 9.1 |
| 23 | BigML | 8.4 |
| 24 | RapidMiner | 8.1 |
| 25 | Kaggle | 7.7 |
| 26 | Driverless AI | 7.7 |
| 27 | Kubeflow | 7.5 |
| 28 | MLflow | 7.3 |
| 29 | Vast.ai | 6.9 |
| 30 | Weights & Biases | 6.2 |