Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesTpot
vsCML
Tpot vs CML
How do Tpot and CML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Tpot | CML |
|---|---|---|
| What it is | TPOT uses genetic programming to optimize machine learning pipelines in Python. | CML provides continuous machine learning and CI/CD workflows for machine learning projects. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Tpot and CML.
FLAML provides a fast Python library for automated machine learning and tuning.
Open source
24 alternatives
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
Open source
24 alternatives
The Datumbox framework is written in Java for developing machine learning and statistical applications.
Open source
24 alternatives
FlexML offers an easy to use and flexible automated machine learning library for Python.
Open source
24 alternatives
PrimeHub offers an open-source platform for managing machine learning operations and workflows.
Open source
24 alternatives