
Security News
Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
This package contains a syntax coloring theme for pygments making use of the JupyterLab CSS variables.
The goal is to enable the use of JupyterLab's themes with pygments-generated HTML.
In the following screencast, we demonstrate how Pygments-highlighted code can make use of the JupyterLab theme.
jupyterlab_pygments
can be installed with the conda package manager
conda install -c conda-forge jupyterlab_pygments
or from pypi
pip install jupyterlab_pygments
jupyterlab_pygments
requires pygments version 2.4.1
.@jupyterlab/codemirror
's CSS include 0.19.1
, ^1.0
, and, ^2.0
.Pygments-generated HTML and CSS classes are not granular enough to reproduce all of the details of codemirror (the JavaScript text editor used by JupyterLab).
This includes the ability to differentiate properties from general names.
jupyterlab_pygments
uses a shared copyright model that enables all contributors to maintain the
copyright on their contributions. All code is licensed under the terms of the revised BSD license.
FAQs
Pygments theme using JupyterLab CSS variables
We found that jupyterlab-pygments 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
Security News
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
Security News
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.