jupyterlab-gitplus
mise
jupyterlab-gitplus | mise | |
---|---|---|
7 | 46 | |
110 | 6,842 | |
0.0% | - | |
1.2 | 9.9 | |
about 1 year ago | 1 day ago | |
TypeScript | Rust | |
GNU Affero General Public License v3.0 | MIT License |
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.
jupyterlab-gitplus
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Difftastic, a structural diff tool that understands syntax
If you are in need of a diff tool for jupter notebooks use https://www.reviewnb.com/ and for word documents use https://www.simuldocs.com/
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The Jupyter+Git problem is now solved
- GitHub PR code reviews with ReviewNB[4]
Alternatively, if you don't care about cell outputs then Jupytext[5]
Disclaimer: I built ReviewNB. It's a completely bootstrapped business, 5 years in the making and now used by leading DS teams at Meta, AWS, NASA JPL, AirBnB, Lyft, Affirm, AMD, Microsoft & more (https://www.reviewnb.com/#customers)
[1] https://github.com/jupyterlab/jupyterlab-git
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While you wait for GitHub to finish building Jupyter Notebook reviews
Already a GitHub plugin that does this very nicely: ReviewNB
- Rich Jupyter Notebook Diffs on GitHub... Finally.
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[Noob question] Why are notebooks not used in production ?
For version control: https://www.reviewnb.com/ helps. Agree with the rest but some experimental notebooks are useful to track/version control.
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Nbdev: Create delightful software with Jupyter Notebooks
It's not focused on collaboration, but it does add some critical pieces that otherwise make Jupyter development frustrating when working with a team. Specifically: `nbdev_prepare` ensures that diffs are as small as possible, by removing and standardising notebook metadata; and `nbdev_fix` fixes merge conflicts so that they are cell-level, rather than line level, so they can be opened and fixed in notebooks.
Something else we've found helpful for collaboration (not associated - just happy users) is this: https://www.reviewnb.com/ . It means we can get a nice notebook-based PR workflow.
Real-time collaboration is available in Jupyter nowadays: https://jupyterlab.readthedocs.io/en/stable/user/rtc.html . nbdev doesn't have any extra functionality for it, however -- but it should work fine in this environment.
- Ask HN: Are there any good Diff tools for Jupyter Notebooks?
mise
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Mise is a polyglot tool version manager
Where are you getting "mise uses asdf" from? mise is simply compatible with all asdf plugins. Not the same thing.
It's even said almost at the top of the README.md in the "30 seconds demo" section:
"The following shows using mise to install different versions of node. Note that calling which node gives us a real path to node, not a shim."
https://github.com/jdx/mise?tab=readme-ov-file#30-second-dem...
So yes, mise does not use shims. It only manipulates $PATH. I did benchmarks a while ago and that definitely and consistently has shaved some milliseconds off of the startup times of my tools.
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Install Asdf: One Runtime Manager to Rule All Dev Environments
mise borrows the plugins from asdf, which also makes it non-cross platform. Interesting discussion on this topic on their GitHub: https://github.com/jdx/mise/discussions/66
Solutions considered include adopting the vfox plugin system or transpiling all asdf plugins to ShellJs.
Now I know that vfox exists.
- Show HN: I made a multiple runtime version manager that can be used on Windows
- Mise-en-place – The front-end to your dev env
- Mise-en-place: The front-end to your dev env
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Pyenv – lets you easily switch between multiple versions of Python
Why not just use a tool like asdf (https://asdf-vm.com/) or mise (https://mise.jdx.dev/)?
These tools have the advantage of not being multi-taskers and can manage version for all your tools. You wouldn’t need pyenv and npm and rvm and…
We’ve even started committing the .mise.toml files for projects to our repos. That way, since we work on multiple projects that may need multiple versions of the same tool, it’s handled and documented.
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Difftastic, a structural diff tool that understands syntax
direnv + mise does exactly that. When I cd to various directories I get different env vars, it's pretty neat. Setting aliases would just be a case of adding them.
https://github.com/jdx/mise/discussions/1525 for an example of how I use direnv with mise.
https://mise.jdx.dev/direnv.html
https://mise.jdx.dev/templates.html
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Experimenting with Modern UI Alternatives in Rails
Installed bun js runtime (I used mise, btw)
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Show HN: Flox 1.0 – Open-source dev env as code with Nix
Not nix based, but I really like https://github.com/jdx/mise too to manage dev tools.
It’s a modern version of https://github.com/asdf-vm/asdf written in Rust.
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A Journey to Find an Ultimate Development Environment
The purpose of a version manager is to help you navigate or install any tools for development easily. Version Manager can be one tool for each dependency (e.g. NVM, g) or One tool for all dependencies (e.g. asdf, mise).
What are some alternatives?
jupyter-vim-binding - Jupyter meets Vim. Vimmer will fall in love.
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
vscode-jupyter - VS Code Jupyter extension
pyenv-win - pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well.
livebook - Automate code & data workflows with interactive Elixir notebooks
homebrew-tap - Homebrew Tap of HashiCorp products and tools
jupyterlab-git - A Git extension for JupyterLab
Poetry - Python packaging and dependency management made easy
pyro - Deep universal probabilistic programming with Python and PyTorch
aqua - Declarative CLI Version manager written in Go. Support Lazy Install, Registry, and continuous update with Renovate. CLI version is switched seamlessly
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
pyenv - Simple Python version management