Skip to main content

jupyterlab-conda-store

conda-store logo

Information Links
Project License conda-store documentation conda-store-ui documentation
Releases GitHub release (the latest by date) PyPI releases

A JupyterLab extension for conda-store.

Installation 📦

Pre-requisites

You will need to have conda-store installed and running on your local computer to use this extension. As well as:

  • JupyterLab >= 4.0
  • Python >= 3.8

You can install the extension with pip:

pip install jupyterlab-conda-store

To remove the extension, execute:

pip uninstall jupyterlab-conda-store

Installing the development version 🚀

Pre-requisites

  1. You will need to have NodeJS > 18 installed on your local computer to build the extension package.
  2. Python >= 3.8 and pip.

Building and linking the extension

  1. Clone this repository to your local computer:

    git clone https://github.com/conda-incubator/jupyterlab-conda-store.git
    
  2. Change to the jupyterlab-conda-store directory:

     cd jupyterlab-conda-store
    
  3. Create a new conda environment:

    conda env create -f environment.yaml
    
    # activate the environment
    conda activate jupyterlab-conda-store
    
  4. Install the package in development mode:

    python -m pip install -e .
    
  5. Now you'll need to link the development version of the extension to JupyterLab and rebuild the Typescript source:

    # Install the extension dependencies
    jlpm install
    # Link your development version of the extension with JupyterLab
    jupyter labextension develop . --overwrite
    
  6. On the first installation, or after making some changes, to visualize them in your local JupyterLab re-run the following command:

    # Rebuild extension Typescript source after making changes
    jlpm run build
    
  7. Run JupyterLab and check that the installation worked:

    # Run JupyterLab
    jupyter lab
    

To lint files as you work on contributions, you can run:

jlpm run lint:check

Uninstalling the development version

  1. Remove the extension:

    pip uninstall jupyterlab-conda-store
    
  2. In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyterlab-conda-store within that folder.

Release

To create a jupyterlab-conda-store release:

  1. Open a new_release issue in the repository and fill in the release details.
  2. Follow the steps in the new release checklist.

Code of Conduct 🤝

To guarantee a welcoming and friendly community, we require all community members to follow our Code of Conduct.

License 📃

jupyterlab-conda-store is developed under the BSD 3-Clause License.

Metadata

Release files for jupyterlab-conda-store 2024.11.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jupyterlab-conda-store 2024.11.1
File Size Uploaded Provenance Actions
jupyterlab_conda_store-2024.11.1.tar.gz 574.0 kB With provenance Details for jupyterlab_conda_store-2024.11.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlab-conda-store 2024.11.1
File Interpreter ABI Platform Actions
jupyterlab_conda_store-2024.11.1-py3-none-any.whl Python 3 none any Details for jupyterlab_conda_store-2024.11.1-py3-none-any.whl

Total release size: 1.4 MB

Release files / jupyterlab_conda_store-2024.11.1.tar.gz

Download URL jupyterlab_conda_store-2024.11.1.tar.gz
Size 574.0 kB
Tags Source
SHA-256 checksum
How to use checksums
79667b71f68be408cede4a92c557a5092e3f9dab642f4adb3deb2f2eed443c70
BLAKE2b-256 checksum
How to use checksums
1d567c7b8e0b85b32552b103ac63eadccfe511a68cb8bf6342332ec36598da7b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 26, 2024.

Transparency log

Release files / jupyterlab_conda_store-2024.11.1-py3-none-any.whl

Download URL jupyterlab_conda_store-2024.11.1-py3-none-any.whl
Size 817.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
43d5da00a6036de0e1a07e75d7d923905a124bcd49e7608becb9da1f529201d7
BLAKE2b-256 checksum
How to use checksums
8bb1e8b0a5cc04a5542774ff8c84177f4d03f32a58418719740c3affb771622b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.1 CPython/3.12.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 26, 2024.

Transparency log

Security for jupyterlab-conda-store 2024.11.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for jupyterlab_conda_store-2024.11.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 26, 2024.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page