Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Kedro and Featureform compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Kedro | Featureform |
|---|---|---|
| What it is | Kedro helps create reproducible, maintainable, and modular data science and data engineering pipelines. | Featureform turns existing data infrastructure into a virtual feature store. |
| 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 Featureform.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.
Use Aeromancy to build reproducible machine learning workflows and projects.
Feathr provides enterprises with a platform for data engineering and AI workflows.