The JupyterLab Extension Ecosystem- Trends from PyPI +GitHub
summary
Analysis of PyPI and GitHub data shows concrete signals not vague promises: downloads, repo stars, release recency and categories are measured via BigQuery PyPI export and GitHub APIs; a standout number is 33M downloads for ipywidgets and steady monthly growth with a recent AI uptick. A daily pipeline enriches wheels with LM classification, links Snake Advisor security scores and pushes results to a public lab-extensions.dev catalog backed by Superbase; costs are modest (~$20 initial, ~$1/day, ~$4 LM) and the live install demo works.
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chapters (10)
- 0:00JupyterLab extensions intro
- 2:12Why JupyterLab extensions matter
- 4:41Key features of JupyterLab
- 7:33Challenges in extension discovery
- 10:23Data on extension ecosystem
- 14:18Analyzing ecosystem trends
- 17:34Live demo: extension catalog
- 24:35Who benefits and future plans
- 27:45Building the data pipeline
- 32:03Q&A
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