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An experimental tool that stores and visualizes local versioning in JupyterLab

Home Page: https://marybethkery.com/Verdant/

License: MIT License

TypeScript 84.25% CSS 9.94% JavaScript 0.04% HTML 5.77%
jupyter-extension jupyterlab experimental version-control history-management

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verdant's Issues

Incompatible with JupyterLab>=3.1.0

This extension looks amazing. However, it does not appear to be compatible with the latest versions of Jupyter Lab - I am getting the following errors when trying to install:

Conflicting Dependencies:
JupyterLab              Extension       Package
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/application
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/apputils
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/codemirror
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/docmanager
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/notebook
>=3.1.12 <3.2.0         >=3.0.0 <3.1.0  @jupyterlab/rendermime

Please upgrade this extension to be compatible with the latest version of Jupyter Lab. It would also be great it this could be installed via pip instead of relying on "jupyter labextension install".

Thanks!

Support jupyter 2.x

Hi!

Your extension is amazing and extremely useful!
Could you please make it work on jupyter 2.x?

Thanks a million!

yarn start fails with conflicting dependencies

Hello, I would like to try this promising extension, but its installation fails with conflicting dependencies, such as here under Ubuntu 18

yarn start
yarn run v1.22.5
$ jupyter labextension install . && jupyter lab .
An error occured.
ValueError:
"[email protected]" is not compatible with the current JupyterLab
Conflicting Dependencies:
JupyterLab Extension Package

=3.0.2 <3.1.0 >=2.1.0 <3.0.0 @jupyterlab/application
=3.0.2 <3.1.0 >=2.1.0 <3.0.0 @jupyterlab/apputils
=3.0.2 <3.1.0 >=2.1.0 <3.0.0 @jupyterlab/codemirror
=5.0.1 <5.1.0 >=4.1.0 <5.0.0 @jupyterlab/coreutils
=3.0.2 <3.1.0 >=2.1.0 <3.0.0 @jupyterlab/docmanager
=3.0.2 <3.1.0 >=2.1.0 <2.2.0 @jupyterlab/notebook
=3.0.2 <3.1.0 >=2.1.0 <3.0.0 @jupyterlab/rendermime
=6.0.2 <6.1.0 >=5.1.0 <6.0.0 @jupyterlab/services
=17.0.1 <18.0.0 >=16.9.0 <16.10.0react
=17.0.1 <18.0.0 >=16.9.0 <16.10.0react-dom
See the log file for details: /tmp/jupyterlab-debug-3g59dvsp.log
error Command failed with exit code 1.

I tried it on Mac as well, same problem. Do you probably have a solution or could help me with installing the right versions? Thanks a lot, Doron

Improve storage performance

re-address storage. now store is modularized out, which is good. how can we improve performance so that it's not all in memory all the time

Installation fails at Jupyterlab build

Hello, thanks for the interesting package!

I was looking to try it out, but am having trouble with install, apparently due to versioning issues. Any chance you could provide assistance? Here are the full commands to reproduce from a clean conda environment:

conda create --name=verdant python=3 jupyterlab
conda activate verdant
git clone https://github.com/mkery/Verdant.git
cd Verdant/
pip install lilgit-parser
jupyter serverextension enable --py lilgit_parser
jupyter serverextension list
npm install
npm run build
jupyter labextension link .

At this point it dies with the following error:

$ jupyter labextension link .
An error occured.
ValueError: 
"[email protected]" is not compatible with the current JupyterLab
Conflicting Dependencies:
JupyterLab              Extension      Package
>=1.1.3 <1.2.0          >=0.19.1 <0.20.0@jupyterlab/application
>=1.1.3 <1.2.0          >=0.19.1 <0.20.0@jupyterlab/apputils
>=3.1.0 <3.2.0          >=2.2.1 <3.0.0 @jupyterlab/coreutils
>=1.1.3 <1.2.0          >=0.19.1 <0.20.0@jupyterlab/docmanager
>=1.1.3 <1.2.0          >=0.19.1 <0.20.0@jupyterlab/notebook
>=1.1.3 <1.2.0          >=0.19.1 <0.20.0@jupyterlab/rendermime
>=4.1.1 <4.2.0          >=3.2.1 <4.0.0 @jupyterlab/services
See the log file for details:  /var/folders/n9/8zbz_v_14ys5cdmn0vy0b9_w0000gn/T/jupyterlab-debug-qcke3yko.log

Looking in packages.json, it seems that a specific version for JupyterLab is specified, but I wasn't able to figure out how to install the specific version (the version numbers are different for different parts of the package, and it's not even possible to install 0.19.1 from pip at the moment). Would it be possible to get some directions about what to do to get this working? Thanks!

README updates

  • acknowledgments
  • add links to papers
  • show screenshot previews
  • install instructions
  • contributing guide

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