conda-devcontainer-demo VS codespaces-jupyter

Compare conda-devcontainer-demo vs codespaces-jupyter and see what are their differences.

conda-devcontainer-demo

Mini Conda + Mamba dev container setup to make working with environments easy. (by crazy4pi314)

codespaces-jupyter

Explore machine learning and data science with Codespaces (by github)
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conda-devcontainer-demo codespaces-jupyter
1 1
15 528
- 1.9%
1.9 2.4
10 months ago 3 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.

conda-devcontainer-demo

Posts with mentions or reviews of conda-devcontainer-demo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.

codespaces-jupyter

Posts with mentions or reviews of codespaces-jupyter. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing conda-devcontainer-demo and codespaces-jupyter you can also consider the following projects:

templates - Repository for Dev Container Templates that are managed by Dev Container spec maintainers. See https://github.com/devcontainers/template-starter to create your own!

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

spec - Development Containers: Use a container as a full-featured development environment.

ML-Workspace - ๐Ÿ›  All-in-one web-based IDE specialized for machine learning and data science.

data-analytics-project-template - A python project starter template for data-analytics and data-science.

amazon-sagemaker-examples - Example ๐Ÿ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐Ÿง  Amazon SageMaker.

conda - A system-level, binary package and environment manager running on all major operating systems and platforms.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

miniforge - A conda-forge distribution.

nbdev - Create delightful software with Jupyter Notebooks