sryza/aas resource
Code to accompany Advanced Analytics with Spark from O'Reilly Media observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: 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: 4316
- days_rel: n/a
- days_push: 707
- n_releases_24m: 0
Adoption not part of the score
1525 stars · 1008 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Source code examples accompanying the O'Reilly book 'Advanced Analytics with Spark', written in Scala and built with Maven. It provides runnable chapter-by-chapter examples covering machine learning and analytics on Apache Spark with accompanying public datasets.
Use cases
- learn spark machine learning with worked examples
- run analytics examples on apache spark
- study recommendation and clustering code in scala
- find datasets for practicing spark analytics
- follow along with the advanced analytics with spark book
When to choose
- you are reading the book and want its companion code
- you want concrete Scala/Spark examples of common ML algorithms
- you need sample datasets paired with analytics code
When to avoid
- you need a production-ready analytics library
- you want a maintained framework with active feature development
- you work outside the JVM/Spark ecosystem
Facets
learning-resource · maturity maintenance
machine-learning data-science etl developer-tools data-science big-data machine-learning tutorials jvm cross-platform apache-spark scala book-examples oreilly analytics maven
1 source
- readme: https://github.com/sryza/aas · fetched 2026-08-28 · 0bab594aba1e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sryza/aas | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem