Star History
Momentum
+179
STARS · LAST 30 DAYS
6
PER DAY
#150
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +179 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +3 | +13 | +32 |
warp gained 179 stars in the last 30 days, about 6 a day, and now has 7.1K. It is about 5 years old and has averaged roughly 1.4K stars a year. It ranks #150 among Python repositories and #883 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#899
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
warp has maintained a continuous presence across global trending indexes, peaking at #899. Below is the 30-day activity profile:
💡 Overview
warp is an open-source project written in Python: A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, differentiable-programming, gpu. 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 warp⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
warp 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 warp 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 warp using your package manager: `pip install warp`
Initialize your project workspace or configuration file for warp.
Import warp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `warp --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
NVIDIA/warp is currently ranked #883 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #878 | gopasspw/gopass | Go | ★ 7.2K | Compare ↗ |
| #879 | kyegomez/swarms | Python | ★ 7.2K | Compare ↗ |
| #880 | roundcube/roundcubemail | PHP | ★ 7.2K | Compare ↗ |
| #881 | dotnet/reactive | C# | ★ 7.2K | Compare ↗ |
| #882 | JerryZLiu/Dayflow | Swift | ★ 7.2K | Compare ↗ |
| #883 | NVIDIA/warp This Project | Python | ★ 7.1K | |
| #884 | RsaCtfTool/RsaCtfTool | Python | ★ 7.1K | Compare ↗ |
| #885 | experientiallabs/experiential | Python | ★ 7.1K | Compare ↗ |
| #886 | enricoros/big-AGI | TypeScript | ★ 7.1K | Compare ↗ |
| #887 | lance-format/lance | Rust | ★ 7.1K | Compare ↗ |
| #888 | vespa-engine/vespa | Java | ★ 7.1K | Compare ↗ |
Frequently Asked Questions
What does warp do? +
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
What language is warp written in? +
The primary language is Python. Topics include: cuda, differentiable-programming, gpu, gpu-acceleration, nvidia.
Is warp actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 337 open issues being tracked.
How many stars does warp have? +
warp has 7,148 stars and 630 forks on GitHub.
How does warp rank among GitHub repositories? +
With 7,148 stars, NVIDIA/warp is ranked #883 globally across all repositories tracked on GitHubRepo and #150 among Python projects.
What license is warp distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
