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reactivex

ReactiveX (Rx) for Python

Worth itPyPI Python ModulesReleased Jul 202610.3M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — reactivex-5.1.0-py3-none-any.whl
v5.1.0 · released 2026-07-27 · Python <4.0,>=3.10 · 1 runtime deps: typing-extensions

Yes. RxPY is a mature, actively maintained library with low install friction, permissive licensing, no known vulnerabilities, and strong community adoption. Install it if you need to model asynchronous or event-driven workflows as composable data streams; it is particularly valuable for real-time systems, reactive UIs, and complex event coordination. The dual syntax support (fluent and functional) makes it adaptable to different coding styles.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or above (v5.x does not support earlier versions).
  • Installation is straightforward with low friction; the package has a single lightweight runtime dependency (typing-extensions) and is actively maintained with a recent release (18 days old) and strong community engagement (5019 repository stars).

License · maintenance · safety

MIT (permissive) — MIT license is permissive, allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

last release 2026-07-27 (18 days) · last repo commit 2026-08-03 · 5,019 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,335,977 downloads/mo, #1,459 on PyPI

Verify before relying

pip install reactivex

import reactivex as rx
from reactivex import operators as ops

source = rx.of(1, 2, 3, 4, 5)
result = source.pipe(
    ops.map(lambda x: x * 2),
    ops.filter(lambda x: x > 5)
)
result.subscribe(print)
  • Whether the 150+ operators mentioned in the description are all documented and production-ready.
  • Performance characteristics and overhead compared to other async frameworks for typical workloads.
  • Scheduler behavior and thread-safety guarantees in concurrent scenarios.
Same gist for agents: .md · .json

What it is and what it does

RxPY is a Python implementation of the ReactiveX pattern for composing asynchronous and event-driven programs. It models asynchronous data flows as observable sequences that can be transformed, filtered, and combined using a rich set of operators. The library supports both fluent (method-chaining) and functional (pipe-based) syntax, giving developers flexibility in how they structure their code. Programs built with RxPY represent data streams as Observables, apply operators to query and transform those streams, and use Schedulers to control concurrency.

The package is production-stable (Development Status 5), actively maintained with recent releases, and has a substantial operator library. It runs on Python 3.10 through 3.14 and depends only on typing-extensions at runtime, keeping installation friction low. RxPY is a fairly complete port of ReactiveX from other languages, adapted to follow Python naming conventions (snake_case instead of camelCase).

Use it for

  • Build real-time data pipelines that react to incoming events, such as sensor data or user interactions, with automatic filtering and transformation.
  • Implement responsive UI or API handlers that need to coordinate multiple asynchronous operations and emit results as they complete.
  • Compose complex event streams from multiple sources, merging, debouncing, or throttling them based on time or data conditions.
  • Handle backpressure and flow control in systems that produce data faster than it can be consumed.
  • Simplify concurrent programming by expressing sequential logic over time-varying data without explicit callbacks or futures.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

RxPY is a mature, actively maintained library with low install friction, permissive licensing, no known vulnerabilities, and strong community adoption. Install it if you need to model asynchronous or event-driven workflows as composable data streams; it is particularly valuable for real-time systems, reactive UIs, and complex event coordination. The dual syntax support (fluent and functional) makes it adaptable to different coding styles.

Install

reactivex on PyPI

Before you install

Installation is straightforward with low friction; the package has a single lightweight runtime dependency (typing-extensions) and is actively maintained with a recent release (18 days old) and strong community engagement (5019 repository stars).

Requires Python 3.10 or above (v5.x does not support earlier versions).

License in practice

MIT license is permissive, allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

Quickstart

pip install reactivex

import reactivex as rx
from reactivex import operators as ops

source = rx.of(1, 2, 3, 4, 5)
result = source.pipe(
    ops.map(lambda x: x * 2),
    ops.filter(lambda x: x > 5)
)
result.subscribe(print)

Verify before relying

  • Whether the 150+ operators mentioned in the description are all documented and production-ready.
  • Performance characteristics and overhead compared to other async frameworks for typical workloads.
  • Scheduler behavior and thread-safety guarantees in concurrent scenarios.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <4.0,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
typing-extensions
MaintenanceActively maintained 18 days since the last release
Last repo commit
First released
Downloads10,335,977 / month, #1,459 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: Other EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Libraries :: Python Modules

Evidence: reactivex-5.1.0-py3-none-any.whl

Tags

Capabilities
reactive programming pythonobservable sequences asyncevent-based data streamscomposable operators pipelineasynchronous event handlingrxpy reactive extensionsfunctional reactive programmingobservable pattern python
Topics
async-programmingevent-drivenreactive-streams

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See also Rx · pyventus · aiostream · pyfunctional · flupy · influxdb-client · observable · nr-stream · anyio · reflex