RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
⚡ Executive Summary & Quick Facts
Authoritative Sourcertp-llm is rtp-llm is an open-source project written in Python: RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), alibaba/rtp-llm has accumulated 1,396 GitHub stars and 303 forks. It is written in Python, licensed under Apache-2.0, and ranks #7,048 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | alibaba/rtp-llm ↗ |
|---|---|
| Primary Category | gpt |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.4K stars · ⑂ 303 forks · #7,048 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 304 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: 92/100 · Grade AYes, rtp-llm is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 1,396 stars and 303 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (304 open).
Star History
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+35
STARS · LAST 30 DAYS
1
PER DAY
#1,028
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +9 | +35 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +6 | +20 | +15 |
rtp-llm gained 35 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 3 years old and has averaged roughly 465 stars a year. It ranks #1,028 among Python repositories and #7,048 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#1095
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
rtp-llm has maintained a continuous presence across global trending indexes, peaking at #1095. Below is the 30-day activity profile:
💡 Overview
rtp-llm is an open-source project written in Python: RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
Engineered for speed, consistency, and developer ease, it solves common hurdles in gpt, inference, llama. 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 rtp-llm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
rtp-llm 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 rtp-llm.
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 rtp-llm using your package manager: `pip install rtp-llm`
Initialize your project workspace or configuration file for rtp-llm.
Import rtp-llm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rtp-llm --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
alibaba/rtp-llm is currently ranked #7,048 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,041 | android/nav3-recipes | Kotlin | ★ 1.4K | Compare ↗ |
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| #7,047 | grafana/grafana-operator | Go | ★ 1.4K | Compare ↗ |
| #7,048 | alibaba/rtp-llm This Project | Python | ★ 1.4K | |
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Frequently Asked Questions
What does rtp-llm do? +
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
Is rtp-llm actively maintained in 2026? +
Yes, rtp-llm is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,396 stars and 304 open issues.
What language is rtp-llm written in? +
The primary language is Python. Topics include: gpt, inference, llama, llm, llm-serving.
How many stars does rtp-llm have? +
rtp-llm has 1,396 stars and 303 forks on GitHub.
How does rtp-llm rank among GitHub repositories? +
With 1,396 stars, alibaba/rtp-llm is ranked #7,048 globally across all repositories tracked on GitHubRepo and #1,028 among Python projects.
What license is rtp-llm distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
