# twitter/cassovary

Cassovary is a simple big graph processing library for the JVM

Repository: https://github.com/twitter/cassovary
Canonical: https://ross.abutalabs.com/products/cassovary
Homepage: http://twitter.com/cassovary
Language: Scala
License: Apache-2.0
License Family: permissive
Last push: 2021-10-08T21:22:29+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5307, "days_push": 1790, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1052, forks 146 (observed 2026-08-28T04:03:23.352195+00:00)

## What it is
Cassovary is a Scala-based big graph processing library for the JVM, designed to efficiently handle graphs with billions of nodes and edges. It provides common graph data structures and algorithms for large-scale graph mining and analysis.

## Use cases
- analyze large social networks with billions of edges
- run graph algorithms on JVM-hosted data
- mine large-scale network graphs efficiently
- compute graph statistics on big graphs
- serve graph queries from a web server
- benchmark graph algorithms

## When to choose
- you need memory-efficient processing of graphs with billions of nodes and edges on the JVM
- you work in Scala or another JVM language and need common graph algorithms
- you want a lightweight graph library rather than a full distributed graph system

## When to avoid
- you need actively maintained software with recent updates
- you need distributed graph processing across a cluster (consider Spark GraphX or Giraph)
- you need a graph database with query languages like Cypher or Gremlin

## Facets
- artifact type: library
- maturity: maintenance
- function: developer-tools
- domain: big-data, data-science
- platform: jvm, jvm-scripting
- tags: graph-processing, graph-mining, scala, large-graphs, network-analysis, algorithms

## Member repositories
- twitter/cassovary (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.352195+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:59:46.532655+00:00, confidence not recorded.
  - readme: https://github.com/twitter/cassovary (fetched 2026-08-28T04:03:23.352195+00:00, sha 445c7ae2ca9f)
- Data as of 2026-08-30T08:39:29.467469+00:00.