tomasonjo/blogs resource
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/ observed · 2026-08-28
Health v2 · maintenance only
59/100
- Activity 59
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2564
- days_rel: n/a
- days_push: 249
- n_releases_24m: 0
Adoption not part of the score
1648 stars · 399 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter notebooks accompanying Tomaz Bratanic's graph data science blog posts, built around Neo4j. It serves as executable, hands-on companion material for learning graph algorithms and graph-based data exploration.
Use cases
- learn graph data science with neo4j
- run example notebooks for graph algorithms
- follow along with blog tutorials on graph analysis
- explore knowledge graphs with python
- prototype graph queries in jupyter
When to choose
- you want runnable notebook examples for Neo4j graph algorithms
- you're following the author's blog posts and want the accompanying code
- you're learning graph data science hands-on
When to avoid
- you need a production-ready library or tool
- you want a maintained package with a license and stable API
- you don't use Neo4j or Python notebooks
Facets
learning-resource · maturity active
data-science database search-engine data-science databases graph-processing tutorials python cross-platform jupyter-notebooks neo4j graph-algorithms graph-data-science blog-companion
1 source
- readme: https://github.com/tomasonjo/blogs · fetched 2026-08-28 · 56f0651ba094
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tomasonjo/blogs | main | 59 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem