FlagGems is an operator library for large language models implemented in the Triton Language.
⚡ Executive Summary & Quick Facts
Authoritative SourceFlagGems is FlagGems is an open-source project written in Python: FlagGems is an operator library for large language models implemented in the Triton Language..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), flagos-ai/FlagGems has accumulated 1,163 GitHub stars and 596 forks. It is written in Python, licensed under Apache-2.0, and ranks #7,891 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | flagos-ai/FlagGems ↗ |
|---|---|
| Primary Category | pytorch |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.2K stars · ⑂ 596 forks · #7,891 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 1,201 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: 82/100 · Grade BYes, FlagGems is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (18 days ago). Supported by 1,163 stars and 596 community forks, this repository holds a calculated health index of 82/100, reflecting regular maintenance (18 days ago) and high open issue volume (1,201 open).
Star History
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+29
STARS · LAST 30 DAYS
1
PER DAY
#1,149
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +29 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +25 | +30 |
FlagGems gained 29 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 3 years old and has averaged roughly 388 stars a year. It ranks #1,149 among Python repositories and #7,891 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#1151
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
FlagGems has maintained a continuous presence across global trending indexes, peaking at #1151. Below is the 30-day activity profile:
💡 Overview
FlagGems is an open-source project written in Python: FlagGems is an operator library for large language models implemented in the Triton Language.
Engineered for speed, consistency, and developer ease, it solves common hurdles in pytorch, triton, triton-kernels. 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 FlagGems⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
FlagGems 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 FlagGems 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 FlagGems using your package manager: `pip install FlagGems`
Initialize your project workspace or configuration file for FlagGems.
Import FlagGems into your codebase or invoke it directly from your terminal.
Execute your test suite or run `FlagGems --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
flagos-ai/FlagGems is currently ranked #7,891 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,885 | daddyz/phonelib | Ruby | ★ 1.2K | Compare ↗ |
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| #7,891 | flagos-ai/FlagGems This Project | Python | ★ 1.2K | |
| #7,891 | phingofficial/phing | PHP | ★ 1.2K | Compare ↗ |
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Frequently Asked Questions
What does FlagGems do? +
FlagGems is an operator library for large language models implemented in the Triton Language.
Is FlagGems actively maintained in 2026? +
Yes, FlagGems is actively maintained. The latest code push was recorded on Oct 26, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 82/100 (B rating) with 1,163 stars and 1,201 open issues.
What language is FlagGems written in? +
The primary language is Python. Topics include: pytorch, triton, triton-kernels.
How many stars does FlagGems have? +
FlagGems has 1,163 stars and 596 forks on GitHub.
How does FlagGems rank among GitHub repositories? +
With 1,163 stars, flagos-ai/FlagGems is ranked #7,891 globally across all repositories tracked on GitHubRepo and #1,149 among Python projects.
What license is FlagGems distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
