Three backtested quant strategies as Jupyter notebooks
$99 for Jupyter notebooks when QuantConnect and backtrader offer free backtesting frameworks.

Accessibility checker for notebooks when none existed before.
Data scientists, Jupyter notebook authors
axe-core · Lighthouse · Pa11y
The tool is powered by jupyterlab-a11y-checker, an accessibility engine/extension that our student team has been working on for over a year at UC Berkeley. We believe accessibility should be a first-class concern in the notebook ecosystem, and we hope our tools can help raise awareness and make notebooks more accessible across the community.
Support us on GitHub if you find the tool useful!
$99 for Jupyter notebooks when QuantConnect and backtrader offer free backtesting frameworks.
YAML-based notebook runner competing directly with Papermill and Jupytext.
Notebook calculates water usage per token, but lacks interactive tooling.
Reactive cell execution is neat, but Streamlit and Gradio already own this space.
Local AI analyst generates Python notebooks instead of just chat responses, keeping data on your machine.
Link the .ipynb file directly — no nbconvert, screenshots, or iframe hacks.