meyer-nils/torch-fem
GPU accelerated differentiable finite elements for solid mechanics with PyTorch
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,099
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 |
torch-fem gained 10 stars in the last 30 days, about 1 a day, and now has 128. It is about 3 years old and has averaged roughly 43 stars a year. It ranks #2,099 among Python repositories and #16,293 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#12508
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
torch-fem has maintained a continuous presence across global trending indexes, peaking at #12508. Below is the 30-day activity profile:
💡 Overview
torch-fem is an open-source project written in Python: GPU accelerated differentiable finite elements for solid mechanics with PyTorch.
Engineered for speed, consistency, and developer ease, it solves common hurdles in adjoint, differentiable-programming, fem. 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 torch-fem⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
torch-fem 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 torch-fem 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 MIT license.
🚀 Getting Started
Install torch-fem using your package manager: `pip install torch-fem`
Initialize your project workspace or configuration file for torch-fem.
Import torch-fem into your codebase or invoke it directly from your terminal.
Execute your test suite or run `torch-fem --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
meyer-nils/torch-fem is currently ranked #16,293 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #16,293 | meyer-nils/torch-fem This Project | Python | ★ 128 | |
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Frequently Asked Questions
What does torch-fem do? +
GPU accelerated differentiable finite elements for solid mechanics with PyTorch
What language is torch-fem written in? +
The primary language is Python. Topics include: adjoint, differentiable-programming, fem, python, scientific-computing.
Is torch-fem actively maintained? +
Yes, the last recorded push was on Oct 10, 2026 with 7 open issues being tracked.
How many stars does torch-fem have? +
torch-fem has 128 stars and 37 forks on GitHub.
How does torch-fem rank among GitHub repositories? +
With 128 stars, meyer-nils/torch-fem is ranked #16,293 globally across all repositories tracked on GitHubRepo and #2,099 among Python projects.
What license is torch-fem distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
