Conda recipe: should we install any front-ends automatically?
See original GitHub issueGiven that Altair now works on several different front-ends, we need to make some choices for the conda forge recipe.
In particular, when someone types conda install altair -c conda-forge
, should it also install jupyter notebook and/or jupyterlab?
On one hand, it would be nice to have a single install command that works for new users, and we could direct people who don’t want one of these renderers to be installed to use pip instead.
On the other hand, it might be annoying to people who might not expect optional dependencies to be installed and/or updated when they conda install altair.
Any thoughts?
Issue Analytics
- State:
- Created 5 years ago
- Comments:11 (5 by maintainers)
Top Results From Across the Web
Conda-build recipes
To enable building conda packages, install and update conda and conda-build. Building a conda package requires a recipe. A conda-build recipe is a...
Read more >`setup.py` `install_requirements` in Conda environment
1 Answer 1 ... No, there is no way to use pip to install packages during the conda build process. Conda insists on...
Read more >The Joy of Packaging Documentation
Write a conda recipe for the sample package from previous exercises ... In a broad sense, anything you install using your package manager....
Read more >Custom build steps / Moving Bokeh off setup.py
An “install-js” build should move a pre-buit BokehJS into the Python ... the frontend/backend thing, so other tools can call setup.py ?
Read more >Using PyInstaller to Easily Distribute Python Applications
Are you jealous of Go developers building an executable and easily shipping ... conda , or any other environment that can access your...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Using Altair outside of the Notebook environment as a plotting backend for web apps is my main use case. In that environment it is annoying to depend on jupyter as it pulls in a huge set of requirements. The more lightweight the default dependencies are, the better for my specific use case. I can understand the current situation to make it simple for new users but it might be good to keep in mind that not all Altair users will be using it using inside notebook.
In the end, we chose not to depend on any frontends, which I think was the right choice.