Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do goro and CML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | goro | CML |
|---|---|---|
| What it is | The goro project provides a high level machine learning library written for Go. | 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 |
Sites similar to both goro and CML.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
FLAML provides a fast Python library for automated machine learning and tuning.
PrimeHub offers an open-source platform for managing machine learning operations and workflows.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.