triton-inference-server/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/triton-inference-server/server?utm_source=readme_chart)
Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/triton-inference-server/server?utm_source=readme_badge) [](https://githubrepo.cloud/repo/triton-inference-server/server?utm_source=readme_badge) [](https://githubrepo.cloud/repo/triton-inference-server/server?utm_source=readme_badge)
Momentum
+277
STARS · LAST 30 DAYS
9
PER DAY
#176
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +63 | +277 | +810 |
| Per day | 9 | 9 | 9 |
| Forks gained | +9 | +37 | +93 |
server gained 277 stars in the last 30 days, about 9 a day, and now has 11.1K. It is about 8 years old and has averaged roughly 1.4K stars a year. It ranks #176 among Python repositories and #1,099 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#3808
BEST RANK
Oct 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
server has maintained a continuous presence across global trending indexes, peaking at #3808. Below is the 30-day activity profile:
💡 Overview
server is an open-source project written in Python: The Triton Inference Server provides an optimized cloud and edge inferencing solution. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in cloud, datacenter, deep-learning. 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 server
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
server 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 server 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 BSD-3-Clause license.
🚀 Getting Started
Install server using your package manager: `pip install server`
Initialize your project workspace or configuration file for server.
Import server into your codebase or invoke it directly from your terminal.
Execute your test suite or run `server --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
triton-inference-server/server is currently ranked #1,099 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,094 | noctalia-dev/noctalia | C++ | ★ 11.1K | Compare ↗ |
| #1,095 | mRemoteNG/mRemoteNG | C# | ★ 11.1K | Compare ↗ |
| #1,096 | openchamber/openchamber | TypeScript | ★ 11.1K | Compare ↗ |
| #1,097 | microsoft/winget-pkgs | — | ★ 11.1K | Compare ↗ |
| #1,098 | imgproxy/imgproxy | Go | ★ 11.1K | Compare ↗ |
| #1,099 | triton-inference-server/server This Project | Python | ★ 11.1K | |
| #1,100 | mui/base-ui | TypeScript | ★ 11K | Compare ↗ |
| #1,101 | SonarSource/sonarqube | Java | ★ 11K | Compare ↗ |
| #1,102 | cloudflare/cloudflare-os | TypeScript | ★ 11K | Compare ↗ |
| #1,103 | software-mansion/react-native-reanimated | TypeScript | ★ 11K | Compare ↗ |
| #1,104 | unopim/unopim | PHP | ★ 11K | Compare ↗ |
Frequently Asked Questions
What does server do? +
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
What language is server written in? +
The primary language is Python. Topics include: cloud, datacenter, deep-learning, edge, gpu.
Is server actively maintained? +
Yes, the last recorded push was on Oct 9, 2026 with 898 open issues being tracked.
How many stars does server have? +
server has 11,060 stars and 1,851 forks on GitHub.
How does server rank among GitHub repositories? +
With 11,060 stars, triton-inference-server/server is ranked #1,099 globally across all repositories tracked on GitHubRepo and #176 among Python projects.
What license is server distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.