FastTrackML vs ZenML
FastTrackML
fasttrackml.io
ZenML
zenml.ioSide by side
| Figure | FastTrackML | ZenML |
|---|---|---|
| Price from | — | $999/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 3 |
| Spec score · ML Experiment Tracking Software | 7.0 (#26) | 7.8 (#11) |
| Deployment | The server can be installed with pip, launched with Docker, or installed using scripts for Linux, macOS, and Windows. | ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods. |
Plans
In their own words
FastTrackML
FastTrackML has no write-up on Specifiction yet; its figures are above.
ZenML
ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.