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twitter/algebird

Algebird is a Scala library that provides algebraic data structures and functional programming abstractions for data aggregation and statistical computation. It offers core types like Monoids, Semigroups, and Rings, alongside probabilistic data structures such as Bloom Filters and HyperLogLog. The system supports distributed processing via Spark RDDs, asynchronous aggregation through utility classes, and seamless integration with Java and other Scala libraries.

50.1

Adequate · 3 August 2026

33k

lines of production code

Scala

primary language

5

bus factor · 106 authors in all

2

measurements over time

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How it got here

2012–2013 · Algebraic structure expansion and tooling

This period focused on expanding the library's algebraic capabilities by introducing new data types, such as AdaptiveCache and BloomFilter, and providing Java and Scala 2.12/2.13 compatibility layers. The team also established robust property-based testing for these new structures and automated the generation of tuple aggregators to reduce boilerplate.

12 changes

2014–2018 · Algebraic and distributed aggregation support

This period focused on expanding Algebird's capabilities for concurrent and distributed data processing, introducing asynchronous aggregation implementations and Spark RDD enrichment. The team also standardized performance measurement by migrating benchmarks to JMH and significantly enhanced the testing infrastructure with comprehensive property-based and compilation tests across core, generic, and utility modules.

12 changes

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About this page

  • The description of this project is derived from its own commit history, not from its README.
  • The score is its highest published measurement, taken on 3 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
  • Measured at commit 464917d6a3 — the exact code this score is about.
  • Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.
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