⚡ Executive Summary & Quick Facts
Authoritative Sourceyarl is yarl is an open-source project written in Python: Yet another URL library..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), aio-libs/yarl has accumulated 1,502 GitHub stars and 228 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,756 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
| Repository | aio-libs/yarl ↗ |
|---|---|
| Primary Category | aiohttp |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.5K stars · ⑂ 228 forks · #5,756 globally |
| Maintenance | ● Active (Last commit: Oct 28, 2026) · 67 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, yarl is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (1 days ago). Supported by 1,502 stars and 228 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+38
STARS · LAST 30 DAYS
1
PER DAY
#804
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +38 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +5 | +11 |
yarl gained 38 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 10 years old and has averaged roughly 150 stars a year. It ranks #804 among Python repositories and #5,756 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8736
BEST RANK
Oct 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
yarl has maintained a continuous presence across global trending indexes, peaking at #8736. Below is the 30-day activity profile:
💡 Overview
yarl is an open-source project written in Python: Yet another URL library.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aiohttp, hacktoberfest, url-parsing. 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 yarl
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
yarl 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with yarl.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install yarl using your package manager: `pip install yarl`
Initialize your project workspace or configuration file for yarl.
Import yarl into your codebase or invoke it directly from your terminal.
Execute your test suite or run `yarl --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
aio-libs/yarl is currently ranked #5,756 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #5,746 | microsoft/ai-dev-gallery | C# | ★ 1.5K | Compare ↗ |
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| #5,756 | aio-libs/yarl This Project | Python | ★ 1.5K | |
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Frequently Asked Questions
What does yarl do? +
Yet another URL library
Is yarl actively maintained in 2026? +
Yes, yarl is actively maintained. The latest code push was recorded on Oct 28, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,502 stars and 67 open issues.
What language is yarl written in? +
The primary language is Python. Topics include: aiohttp, hacktoberfest, url-parsing, urls.
How many stars does yarl have? +
yarl has 1,502 stars and 228 forks on GitHub.
How does yarl rank among GitHub repositories? +
With 1,502 stars, aio-libs/yarl is ranked #5,756 globally across all repositories tracked on GitHubRepo and #804 among Python projects.
What license is yarl distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.