# linkedin/parseq

Asynchronous Java made easier

Repository: https://github.com/linkedin/parseq
Canonical: https://ross.abutalabs.com/products/parseq
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2025-07-28T16:24:34+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 34, release rhythm 35, longevity 100
- inputs: {"age_days": 5097, "days_push": 401, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1172, forks 267 (observed 2026-08-28T04:03:51.686018+00:00)

## What it is
ParSeq is a Java framework that simplifies writing asynchronous code through composable tasks. It supports parallel execution of async operations, error propagation, retries, batching, and execution tracing.

## Use cases
- run multiple async IO operations in parallel in Java
- compose asynchronous tasks with error handling and retries
- batch asynchronous requests to reduce overhead
- trace and visualize async task execution
- write non-blocking server-side Java code

## When to choose
- building JVM backend services with heavy async IO
- you need task composition, batching, and tracing in one framework
- you want structured error propagation for async pipelines

## When to avoid
- you prefer CompletableFuture or Kotlin coroutines built into modern Java
- you need a non-JVM language
- your workload is simple synchronous code

## Facets
- artifact type: framework
- maturity: maintenance
- function: concurrency, web-framework, http-client, tracing, middleware
- domain: backend, developer-tools, microservices, performance
- platform: jvm, cross-platform
- tags: asynchronous-programming, task-composition, non-blocking-io, java-concurrency, linkedin

## Member repositories
- linkedin/parseq (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:51.686018+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 2026-08-30T06:28:27.540781+00:00, confidence not recorded.
  - readme: https://github.com/linkedin/parseq (fetched 2026-08-28T04:03:51.686018+00:00, sha 3cc16bf7c8a0)
- Data as of 2026-08-30T08:39:29.467469+00:00.