TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
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+26
STARS · LAST 30 DAYS
1
PER DAY
#530
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +26 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +7 | +17 |
benchmark gained 26 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 9 years old and has averaged roughly 117 stars a year. It ranks #530 among Python repositories and #4,047 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#3684
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
benchmark has maintained a continuous presence across global trending indexes, peaking at #3684. Below is the 30-day activity profile:
💡 Overview
benchmark is an open-source project written in Python: TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Engineered for speed, consistency, and developer ease, it solves common hurdles in benchmark, pytorch. 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 benchmark⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
benchmark 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 benchmark 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 benchmark using your package manager: `pip install benchmark`
Initialize your project workspace or configuration file for benchmark.
Import benchmark into your codebase or invoke it directly from your terminal.
Execute your test suite or run `benchmark --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
pytorch/benchmark is currently ranked #4,047 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,042 | python-attrs/cattrs | Python | ★ 1.1K | Compare ↗ |
| #4,043 | carrotsearch/hppc | Java | ★ 1.1K | Compare ↗ |
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| #4,044 | volotat/mini-AGI | Python | ★ 1.1K | Compare ↗ |
| #4,047 | pytorch/benchmark This Project | Python | ★ 1.1K | |
| #4,047 | gpjt/webgl-lessons | Python | ★ 1.1K | Compare ↗ |
| #4,047 | takahirom/roborazzi | Kotlin | ★ 1.1K | Compare ↗ |
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| #4,052 | jdx/usage | Rust | ★ 1K | Compare ↗ |
Frequently Asked Questions
What does benchmark do? +
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
What language is benchmark written in? +
The primary language is Python. Topics include: benchmark, pytorch.
Is benchmark actively maintained? +
Yes, the last recorded push was on Sep 29, 2026 with 175 open issues being tracked.
How many stars does benchmark have? +
benchmark has 1,051 stars and 349 forks on GitHub.
How does benchmark rank among GitHub repositories? +
With 1,051 stars, pytorch/benchmark is ranked #4,047 globally across all repositories tracked on GitHubRepo and #530 among Python projects.
What license is benchmark distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
