Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
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+134
STARS · LAST 30 DAYS
4
PER DAY
#293
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +28 | +134 | +360 |
| Per day | 4 | 4 | 4 |
| Forks gained | +2 | +8 | +20 |
faststream gained 134 stars in the last 30 days, about 4 a day, and now has 5.4K. It is about 4 years old and has averaged roughly 1.3K stars a year. It ranks #293 among Python repositories and #1,896 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#4161
BEST RANK
Oct 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
faststream has maintained a continuous presence across global trending indexes, peaking at #4161. Below is the 30-day activity profile:
💡 Overview
faststream is an open-source project written in Python: Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Engineered for speed, consistency, and developer ease, it solves common hurdles in asyncapi, asyncio, distributed-systems. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install faststream⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
faststream coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed faststream into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install faststream using your package manager: `pip install faststream`
Initialize your project workspace or configuration file for faststream.
Import faststream into your codebase or invoke it directly from your terminal.
Execute your test suite or run `faststream --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
ag2ai/faststream is currently ranked #1,896 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,891 | clientIO/joint | JavaScript | ★ 5.4K | Compare ↗ |
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| #1,893 | nyblnet/bento | TypeScript | ★ 5.4K | Compare ↗ |
| #1,894 | slim-template/slim | Ruby | ★ 5.4K | Compare ↗ |
| #1,895 | apache/maven | Java | ★ 5.4K | Compare ↗ |
| #1,896 | ag2ai/faststream This Project | Python | ★ 5.4K | |
| #1,897 | leits/MeetingBar | Swift | ★ 5.4K | Compare ↗ |
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Frequently Asked Questions
What does faststream do? +
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
What language is faststream written in? +
The primary language is Python. Topics include: asyncapi, asyncio, distributed-systems, event-driven-architecture, faststream.
Is faststream actively maintained? +
Yes, the last recorded push was on Oct 9, 2026 with 89 open issues being tracked.
How many stars does faststream have? +
faststream has 5,367 stars and 408 forks on GitHub.
How does faststream rank among GitHub repositories? +
With 5,367 stars, ag2ai/faststream is ranked #1,896 globally across all repositories tracked on GitHubRepo and #293 among Python projects.
What license is faststream distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
