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mahdibland/V2RayAggregator

Collect Lots of Shadowsocks, ShadowsocksR, Trojan, Vmess from Public Sources & Filter Best Nodes By Speed

Python ◇ airport GPL-3.0
★4KSTARS
⑂665FORKS
!19ISSUES
🏆#1,239GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for mahdibland/V2RayAggregator
CSV

Momentum

+100

STARS · LAST 30 DAYS

3

PER DAY

#191

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+100+270
Per day333
Forks gained+3+13+33

V2RayAggregator gained 100 stars in the last 30 days, about 3 a day, and now has 4K. It is about 4 years old and has averaged roughly 1K stars a year. It ranks #191 among Python repositories and #1,239 across all languages on GitHubRepo.

Trending Record

V2RayAggregator has maintained a continuous presence across global trending indexes, peaking at #1072. Below is the 30-day activity profile:

💡 Overview

V2RayAggregator is an open-source project written in Python: Collect Lots of Shadowsocks, ShadowsocksR, Trojan, Vmess from Public Sources & Filter Best Nodes By Speed.

Engineered for speed, consistency, and developer ease, it solves common hurdles in airport, best-nodes, china-censorship. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install V2RayAggregator

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

V2RayAggregator 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 V2RayAggregator.

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

1

Install V2RayAggregator using your package manager: `pip install V2RayAggregator`

2

Initialize your project workspace or configuration file for V2RayAggregator.

3

Import V2RayAggregator into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `V2RayAggregator --help` to verify successful setup.

👍 Strengths

Active community backing with 4,018 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

mahdibland/V2RayAggregator is currently ranked #1,239 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does V2RayAggregator do? +

Collect Lots of Shadowsocks, ShadowsocksR, Trojan, Vmess from Public Sources & Filter Best Nodes By Speed

What language is V2RayAggregator written in? +

The primary language is Python. Topics include: airport, best-nodes, china-censorship, clash, clash-config.

Is V2RayAggregator actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 19 open issues being tracked.

How many stars does V2RayAggregator have? +

V2RayAggregator has 4,017 stars and 665 forks on GitHub.

How does V2RayAggregator rank among GitHub repositories? +

With 4,017 stars, mahdibland/V2RayAggregator is ranked #1,239 globally across all repositories tracked on GitHubRepo and #191 among Python projects.

What license is V2RayAggregator distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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