Update conda env yaml: bump DeepLabCut and remove nb_conda#3213
Open
deruyter92 wants to merge 2 commits intomainfrom
Open
Update conda env yaml: bump DeepLabCut and remove nb_conda#3213deruyter92 wants to merge 2 commits intomainfrom
deruyter92 wants to merge 2 commits intomainfrom
Conversation
2 tasks
Open
2 tasks
C-Achard
approved these changes
Feb 26, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Motivation:
The conda env yaml is largely outdated and needs some updating.
Changes:
nb_conda: it is an unmaintained Jupyter extension. This resolves DeepLabCut conda install fails due to pkg_resources deprecation #3203.deeplabcutversion (was rc9, now set to --pre so it always installs latest prerelease)notebook<7.0.0: This was in the YAML to support nb_conda.pytables==3.8.0: this should now be installed via pip instead of conda. Pinning to this version is actually harmful as it is largely outdated and may break pandas. tables is currently already installed via pip, so no need for the conda install.(The following PRs even make this more specific, by letting pandas handle tables dependency as extra uv packaging #3184 , Handle tables via pip as pandas extra instead of separate conda install (and update installation instructions) #3214)