ibraheemdev/papaya

A fast and ergonomic concurrent hashmap for read-heavy workloads.

Rust

953

192 commits

updated Aug 21, 2026

See the code

README

papaya

crates.io github docs.rs

A fast and ergonomic concurrent hash-table for read-heavy workloads.

See the documentation to get started.

Features

  • An ergonomic lock-free API — no more deadlocks!
  • Powerful atomic operations.
  • Seamless usage in async contexts.
  • Extremely scalable, low-latency reads (see performance).
  • Predictable latency across all operations.
  • Efficient memory usage, with garbage collection powered by seize.

Performance

papaya is built with read-heavy workloads in mind. As such, read operations are extremely high throughput and provide consistent performance that scales with concurrency, meaning papaya will excel in workloads where reads are more common than writes. In write heavy workloads, papaya will still provide competitive performance despite not being it's primary use case. See the benchmarks for details.

papaya aims to provide predictable and consistent latency across all operations. Most operations are lock-free, and those that aren't only block under rare and constrained conditions. papaya also features incremental resizing. Predictable latency is an important part of performance that doesn't often show up in benchmarks, but has significant implications for real-world usage.

concurrent
hashmap
hashtable

ibraheemdev/papaya

A fast and ergonomic concurrent hashmap for read-heavy workloads.

Rust

953

192 commits

updated Aug 21, 2026

See the code

README

papaya

crates.io github docs.rs

A fast and ergonomic concurrent hash-table for read-heavy workloads.

See the documentation to get started.

Features

  • An ergonomic lock-free API — no more deadlocks!
  • Powerful atomic operations.
  • Seamless usage in async contexts.
  • Extremely scalable, low-latency reads (see performance).
  • Predictable latency across all operations.
  • Efficient memory usage, with garbage collection powered by seize.

Performance

papaya is built with read-heavy workloads in mind. As such, read operations are extremely high throughput and provide consistent performance that scales with concurrency, meaning papaya will excel in workloads where reads are more common than writes. In write heavy workloads, papaya will still provide competitive performance despite not being it's primary use case. See the benchmarks for details.

papaya aims to provide predictable and consistent latency across all operations. Most operations are lock-free, and those that aren't only block under rare and constrained conditions. papaya also features incremental resizing. Predictable latency is an important part of performance that doesn't often show up in benchmarks, but has significant implications for real-world usage.

concurrent
hashmap
hashtable

Project health

crates.io

Latest release

0.2.5 · Aug 21, 2026

Releases this year

2

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(top 24 of 77)

Luke Edwards

5,087 followers · starred Feb 2025

Linda_pp

1,941 followers · starred Jul 2024

Andrew Gallant

13,344 followers · starred Jul 2024

messense

2,201 followers · starred Jul 2024