Jupyterlab extension that shows currently used variables and their values. The goal is to provide a tool similar to the variable inspector in RStudio.
This project is inspired by the variable inspector extension for jupyter notebooks and by the inspector extension included in juypterlab.
For the time being, this project is still in its first steps. Contributions in any form are very welcome!
- Allows inspection of variables for both python consoles and python notebooks
- Allows inspection of matrices in a datagrid-viewer. This might not work for large matrices.
- JupyterLab [0.35]
Requirements for python functionality
numpyare required to enable matrix inspection.
pysparkfor spark support.
kerasto allow inspection of tf objects.
Requirements for R functionality
First of all, you need an installation of a current version of JupyterLab. Please refer to the installation guide.
You can install the inspector either by running
jupyter labextension install @lckr/jupyterlab_variableinspector
or by cloning the repository and build it locally following these steps:
Clone this repository with `git clone https://github.com/lckr/jupyterlab-variableInspector
Once you downloaded the repository use the following steps:
cd jupyterlab-variableInspector npm install npm run build jupyter labextension install .
- Confirm the installation of the extension with:
jupyter labextension list
which should print