Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Kedro and Tpot compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Kedro | Tpot |
|---|---|---|
| What it is | Kedro helps create reproducible, maintainable, and modular data science and data engineering pipelines. | TPOT uses genetic programming to optimize machine learning pipelines in Python. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Kedro and Tpot.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
ZenML provides a platform for machine learning pipelines and AI agents.
Use Aeromancy to build reproducible machine learning workflows and projects.
Evidently evaluates, tests, and monitors machine learning systems and data pipelines.
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.