reactivex
ReactiveX (Rx) for Python
Decision gist · record as of 2026-08-14
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
Alternatives
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.
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.
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
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 18 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 10,335,977 / month, #1,459 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “observable sequences async”
- reactivexRxPY is a library for building asynchronous and event-based programs…
- RxRxPY provides a library for composing asynchronous and event-based…
- pyventusPyventus is a Python library for building event-driven and reactive…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also Rx · pyventus · aiostream · pyfunctional · flupy · influxdb-client · observable · nr-stream · anyio · reflex