TPOT uses genetic programming to optimize machine learning pipelines in Python.
Open source
24 alternativesHow do ModelDB and Kubeflow Pipelines compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | ModelDB | Kubeflow Pipelines |
|---|---|---|
| What it is | ModelDB tracks machine learning model versions, metadata, and experiments. | Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow. |
| 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 |
Sites similar to both ModelDB and Kubeflow Pipelines.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.