Skip to main content

Klampt-jupyter-extension

Build Status codecov

A Jupyter Widget for Klampt

Installation

You can install using pip:

pip install klampt_jupyter

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] klampt_jupyter

Development Installation

Create a dev environment:

conda create -n klampt_jupyter-dev -c conda-forge nodejs yarn python jupyterlab
conda activate klampt_jupyter-dev

Install the python. This will also build the TS package.

pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
yarn run build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py klampt_jupyter
jupyter nbextension enable --sys-prefix --py klampt_jupyter

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

How to see your changes

Typescript:

If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
yarn run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

Python:

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

Metadata

Release files for klampt-jupyter 0.1.2

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

Source distribution (sdist)

Source distribution for klampt-jupyter 0.1.2
File Size Uploaded Provenance Actions
klampt_jupyter-0.1.2.tar.gz 1.9 MB Without provenance Details for klampt_jupyter-0.1.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for klampt-jupyter 0.1.2
File Interpreter ABI Platform Actions
klampt_jupyter-0.1.2-py2.py3-none-any.whl Python 2, Python 3 none any Details for klampt_jupyter-0.1.2-py2.py3-none-any.whl

Total release size: 4.4 MB

Release files / klampt_jupyter-0.1.2.tar.gz

Download URL klampt_jupyter-0.1.2.tar.gz
Size 1.9 MB
Tags Source
SHA-256 checksum
How to use checksums
b42e378d11445d19b2273495a317a12e92630971e8509047b7d0f1c7c98f8f12
BLAKE2b-256 checksum
How to use checksums
9dc56c4dc82b7fde8047dc035f225d344c70e001a75e51f8ce48f8880cb4917e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0

Release files / klampt_jupyter-0.1.2-py2.py3-none-any.whl

Download URL klampt_jupyter-0.1.2-py2.py3-none-any.whl
Size 2.5 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
9b3ce4953df1fc64bdcdcdf0d7da9cf0a4ce4f9d541b904517dda0acdc1e8883
BLAKE2b-256 checksum
How to use checksums
42beb2b2b7e02dcb73f364205e1c4d3ed0f78c76c76ca8fc363e86f746b122f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0

Security for klampt-jupyter 0.1.2

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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.

Release history Release notifications | RSS feed

This release

0.1.2 This release

2 release files No provenance

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