# ReactiveX/RxGo

Reactive Extensions for the Go language.

Repository: https://github.com/ReactiveX/RxGo
Canonical: https://ross.abutalabs.com/products/rxgo
Language: Go
License: MIT
License Family: permissive
Topics: reactivex, golang, observable, go, concurrency, streaming, asynchronous, async, hacktoberfest
Last push: 2025-01-22T20:50:22+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 2, release rhythm 8, longevity 100
- inputs: {"age_days": 3611, "days_push": 588, "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 5098, forks 342 (observed 2026-08-28T04:09:09.724886+00:00)

## What it is
RxGo is the official ReactiveX implementation for Go, providing composable observable streams built on Go channels and goroutines. It offers a rich set of operators (Map, Filter, etc.) for asynchronous, pipeline-based event processing.

## Use cases
- process streams of events asynchronously in Go
- compose data transformation pipelines with map and filter operators
- replace callback-based async code with observable streams
- parallelize operator stages across goroutines
- build reactive data flows over Go channels

## When to choose
- you want ReactiveX-style observable programming idioms in Go
- you need composable, parallel stream processing using native channels and goroutines
- you prefer declarative operator chains over manual pipeline plumbing

## When to avoid
- your project needs simple sequential code without async complexity
- you need a mature, heavily maintained reactive library with large community support
- Go's standard concurrency primitives already suffice for your use case

## Facets
- artifact type: library
- maturity: active
- function: concurrency, streaming, serialization
- domain: developer-tools
- platform: go, cross-platform
- tags: reactive-extensions, observables, reactive-programming, pipelines, asynchronous, goroutines, algorithms, real-time

## Member repositories
- ReactiveX/RxGo (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:09.724886+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 2026-08-29T18:02:13.571513+00:00, confidence not recorded.
  - readme: https://github.com/ReactiveX/RxGo (fetched 2026-08-28T04:09:09.724886+00:00, sha a9b406c70188)
- Data as of 2026-08-30T08:39:29.467469+00:00.