meta-pytorch/tritonbench
Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
⚡ Executive Summary & Quick Facts
Authoritative Sourcetritonbench is tritonbench is an open-source project written in Python: Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), meta-pytorch/tritonbench has accumulated 373 GitHub stars and 92 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #14,494 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | meta-pytorch/tritonbench ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 373 stars · ⑂ 92 forks · #14,494 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 38 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: 88/100 · Grade AYes, tritonbench is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 373 stars and 92 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
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/meta-pytorch/tritonbench?utm_source=readme_chart)
Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/meta-pytorch/tritonbench?utm_source=readme_badge) [](https://githubrepo.cloud/repo/meta-pytorch/tritonbench?utm_source=readme_badge) [](https://githubrepo.cloud/repo/meta-pytorch/tritonbench?utm_source=readme_badge) [](https://githubrepo.cloud/repo/meta-pytorch/tritonbench?utm_source=readme_badge) [](https://githubrepo.cloud/repo/meta-pytorch/tritonbench?utm_source=readme_badge)
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,965
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
tritonbench gained 10 stars in the last 30 days, about 1 a day, and now has 373. It is about 2 years old and has averaged roughly 187 stars a year. It ranks #1,965 among Python repositories and #14,494 across all languages on GitHubRepo.
Trending Record
14
DAYS ON TRENDING
#12576
BEST RANK
Oct 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tritonbench has maintained a continuous presence across global trending indexes, peaking at #12576. Below is the 30-day activity profile:
💡 Overview
tritonbench is an open-source project written in Python: Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 tritonbench
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tritonbench 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 tritonbench 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 tritonbench using your package manager: `pip install tritonbench`
Initialize your project workspace or configuration file for tritonbench.
Import tritonbench into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tritonbench --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
meta-pytorch/tritonbench is currently ranked #14,494 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,480 | planetscale/vitess-operator | Go | ★ 374 | Compare ↗ |
| #14,480 | open-telemetry/opentelemetry-swift | Swift | ★ 374 | Compare ↗ |
| #14,480 | Mellanox/network-operator | Go | ★ 374 | Compare ↗ |
| #14,480 | flathub-infra/website | TypeScript | ★ 374 | Compare ↗ |
| #14,480 | syswonder/robonix | Rust | ★ 374 | Compare ↗ |
| #14,494 | meta-pytorch/tritonbench This Project | Python | ★ 373 | |
| #14,494 | knipknap/exscript | Python | ★ 373 | Compare ↗ |
| #14,494 | apache/commons-dbcp | Java | ★ 373 | Compare ↗ |
| #14,494 | catalinii/minisatip | C++ | ★ 373 | Compare ↗ |
| #14,494 | PaulKinlan/qrcode | JavaScript | ★ 373 | Compare ↗ |
| #14,494 | kubernetes-sigs/cluster-api-provider-openstack | Go | ★ 373 | Compare ↗ |
Frequently Asked Questions
What does tritonbench do? +
Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
Is tritonbench actively maintained in 2026? +
Yes, tritonbench is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 373 stars and 38 open issues.
What language is tritonbench written in? +
The primary language is Python. Topics include: software.
How many stars does tritonbench have? +
tritonbench has 373 stars and 92 forks on GitHub.
How does tritonbench rank among GitHub repositories? +
With 373 stars, meta-pytorch/tritonbench is ranked #14,494 globally across all repositories tracked on GitHubRepo and #1,965 among Python projects.
What license is tritonbench distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.