jupyterlab-niryo-one
Advanced tools
Blockly extension for JupyterLab to control the Niryo One robot.
Blockly extension for JupyterLab to control a Niryo robot.
Blockly is a library from Google for building beginner-friendly block-based programming languages.
Docs: https://developers.google.com/blockly/guides/overview Repo: https://github.com/google/blockly
The Niryo robots are collaborative and open source 6-axis robots made in France for: higher education, vocational training and R&D laboratories. Its use is particularly adapted to study robotics and programming in the context of the industry 4.0.
Docs: https://niryo.com Repo for Niryo One: https://github.com/NiryoRobotics/niryo_one_ros
The extension is using the latest version of the pyniryo API - v1.1.2. This version is compatible with the Niryo, Ned and Ned2 robots.
The Niryo One and Ned robots are compatible with the niryo toolbox, whereas the Ned2 robot has the ned2 toolbox. You can use all 130 blocks from each toolbox to program your robot.
Docs: https://docs.niryo.com/dev/pyniryo/v1.1.2/en/index.html
To install the extension, execute:
conda install jupyterlab-niryo-one -c conda-forge
To remove the extension, execute:
pip uninstall jupyterlab-niryo-one
Note: You will need NodeJS to build the extension package.
The jlpm command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn or npm in lieu of jlpm below.
micromamba create -n niryo -c conda-forge python nodejs yarn jupyterlab jupyterlab-language-pack-fr-FR ipykernel xeus-python xeus-lua
micromamba activate niryo
# Clone the repo to your local environment
# Change directory to the jupyterlab_niryo_one directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
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 extension.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
jupyter lab build --minimize=False
pip uninstall jupyterlab-niryo-one
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_niryo_one within that folder.
See RELEASE
0.1.2
FAQs
Blockly extension for JupyterLab to control the Niryo One robot.
The npm package jupyterlab-niryo-one receives a total of 6 weekly downloads. As such, jupyterlab-niryo-one popularity was classified as not popular.
We found that jupyterlab-niryo-one demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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