jupyter-naas/awesome-notebooks resource
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery.. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2163
- days_rel: n/a
- days_push: 681
- n_releases_24m: 0
Adoption not part of the score
3014 stars · 489 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated catalog of production-ready Jupyter Notebook templates organized by tool and structured with an Input-Model-Output (IMO) framework. It serves as a template library for building data products like dashboards and automation/AI engines.
Use cases
- find jupyter notebook templates for data analysis
- build a dashboard from a notebook template
- automate tasks with ready-made python notebooks
- learn how to structure notebooks with input model output
- connect to third-party apis from a notebook template
- kickstart a data product with reusable notebook components
When to choose
- you want pre-built, production-ready notebook templates instead of starting from scratch
- you need examples of integrating Jupyter with third-party tools via APIs
- you want a consistent IMO structure for organizing data workflows
When to avoid
- you need actively maintained or updated templates, as the repository is marked legacy
- you want a software library or package rather than a collection of notebooks
- you require templates without any data science setup skills
Facets
dataset · maturity maintenance
developer-tools data-science data-visualization workflow-automation machine-learning data-science developer-tools tutorials awesome-lists python jvm cross-platform jupyter-notebooks notebook-templates awesome-list imo-framework data-products legacy automation
2 sources
- readme: https://github.com/jupyter-naas/awesome-notebooks · fetched 2026-08-28 · 8f69ebe1662c
- homepage: https://naas.ai/search · fetched 2026-08-29 · 7488b4795722
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jupyter-naas/awesome-notebooks | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="jupyter-naas/awesome-notebooks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem