ML-Workspace VS Gitpod

Compare ML-Workspace vs Gitpod and see what are their differences.

Gitpod

DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm (by gitpod-io)
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ML-Workspace Gitpod
7 1
3,310 224
1.3% 0.0%
2.7 0.0
5 months ago over 2 years ago
Jupyter Notebook Go
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ML-Workspace

Posts with mentions or reviews of ML-Workspace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.

Gitpod

Posts with mentions or reviews of Gitpod. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-15.

What are some alternatives?

When comparing ML-Workspace and Gitpod you can also consider the following projects:

Code-Server - VS Code in the browser

Eclipse Che - Kubernetes based Cloud Development Environments for Enterprise Teams

JupyterLab - JupyterLab computational environment.

keytotext - Keywords to Sentences

Koding

self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept

theia-apps - Theia applications examples - docker images, desktop apps, packagings

cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)

ICEcoder - Browser code editor awesomeness

pycaret - An open-source, low-code machine learning library in Python