Making large AI models cheaper, faster and more accessible
⚡ Executive Summary & Quick Facts
Authoritative SourceColossalAI is ColossalAI is an open-source project written in Python: Making large AI models cheaper, faster and more accessible..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), hpcaitech/ColossalAI has accumulated 41,431 GitHub stars and 4,484 forks. It is written in Python, licensed under Apache-2.0, and ranks #357 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | hpcaitech/ColossalAI ↗ |
|---|---|
| Primary Category | ai |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 41.4K stars · ⑂ 4.5K forks · #357 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 342 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: 95/100 · Grade A+Yes, ColossalAI is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (0 days ago). Supported by 41,431 stars and 4,484 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (342 open).
Star History
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+1K
STARS · LAST 30 DAYS
35
PER DAY
#88
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +245 | +1K | +3.2K |
| Per day | 35 | 35 | 35 |
| Forks gained | +22 | +90 | +224 |
ColossalAI gained 1K stars in the last 30 days, about 35 a day, and now has 41.4K. It is about 5 years old and has averaged roughly 8.3K stars a year. It ranks #88 among Python repositories and #357 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#8189
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ColossalAI has maintained a continuous presence across global trending indexes, peaking at #8189. Below is the 30-day activity profile:
💡 Overview
ColossalAI is an open-source project written in Python: Making large AI models cheaper, faster and more accessible.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, big-model, data-parallelism. 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 ColossalAI⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ColossalAI 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 ColossalAI.
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 ColossalAI using your package manager: `pip install ColossalAI`
Initialize your project workspace or configuration file for ColossalAI.
Import ColossalAI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ColossalAI --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
hpcaitech/ColossalAI is currently ranked #357 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #352 | nolimits4web/swiper | TypeScript | ★ 41.9K | Compare ↗ |
| #353 | psf/black | Python | ★ 41.9K | Compare ↗ |
| #354 | AstrBotDevs/AstrBot | Python | ★ 41.7K | Compare ↗ |
| #355 | dcloudio/uni-app | JavaScript | ★ 41.6K | Compare ↗ |
| #356 | apache/dubbo | Java | ★ 41.6K | Compare ↗ |
| #357 | hpcaitech/ColossalAI This Project | Python | ★ 41.4K | |
| #358 | facebookresearch/faiss | C++ | ★ 41.2K | Compare ↗ |
| #359 | codewhale-hq/Codewhale | Rust | ★ 41.2K | Compare ↗ |
| #360 | gitroomhq/postiz-app | TypeScript | ★ 41.2K | Compare ↗ |
| #361 | appsmithorg/appsmith | TypeScript | ★ 41.1K | Compare ↗ |
| #362 | ToolJet/ToolJet | JavaScript | ★ 41K | Compare ↗ |
Frequently Asked Questions
What does ColossalAI do? +
Making large AI models cheaper, faster and more accessible
Is ColossalAI actively maintained in 2026? +
Yes, ColossalAI is actively maintained. The latest code push was recorded on Nov 9, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 41,431 stars and 342 open issues.
What language is ColossalAI written in? +
The primary language is Python. Topics include: ai, big-model, data-parallelism, deep-learning, distributed-computing.
How many stars does ColossalAI have? +
ColossalAI has 41,431 stars and 4,484 forks on GitHub.
How does ColossalAI rank among GitHub repositories? +
With 41,431 stars, hpcaitech/ColossalAI is ranked #357 globally across all repositories tracked on GitHubRepo and #88 among Python projects.
What license is ColossalAI distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
