Deep learning ECG models implemented using PyTorch
⚡ Executive Summary & Quick Facts
Authoritative Sourcetorch_ecg is torch_ecg is an open-source project written in Python: Deep learning ECG models implemented using PyTorch..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), DeepPSP/torch_ecg has accumulated 275 GitHub stars and 33 forks. It is written in Python, licensed under MIT, and ranks #13,795 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | DeepPSP/torch_ecg ↗ |
|---|---|
| Primary Category | deep learning |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 275 stars · ⑂ 33 forks · #13,795 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 12 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: 93/100 · Grade A+Yes, torch_ecg is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (4 days ago). Supported by 275 stars and 33 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,770
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
torch_ecg gained 10 stars in the last 30 days, about 1 a day, and now has 275. It is about 6 years old and has averaged roughly 46 stars a year. It ranks #1,770 among Python repositories and #13,795 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#13678
BEST RANK
Oct 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
torch_ecg has maintained a continuous presence across global trending indexes, peaking at #13678. Below is the 30-day activity profile:
💡 Overview
torch_ecg is an open-source project written in Python: Deep learning ECG models implemented using PyTorch.
Engineered for speed, consistency, and developer ease, it solves common hurdles in deep-learning, ecg, 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 torch_ecg⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
torch_ecg 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_ecg 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_ecg using your package manager: `pip install torch_ecg`
Initialize your project workspace or configuration file for torch_ecg.
Import torch_ecg into your codebase or invoke it directly from your terminal.
Execute your test suite or run `torch_ecg --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
DeepPSP/torch_ecg is currently ranked #13,795 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,775 | act-security-labs/iam-lens | TypeScript | ★ 276 | Compare ↗ |
| #13,775 | Aayush9029/petal | Swift | ★ 276 | Compare ↗ |
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| #13,775 | ryderclanky/BotW-Native | C++ | ★ 276 | Compare ↗ |
| #13,795 | DeepPSP/torch_ecg This Project | Python | ★ 275 | |
| #13,795 | grosser/gettext_i18n_rails | Ruby | ★ 275 | Compare ↗ |
| #13,795 | tow/sunburnt | Python | ★ 275 | Compare ↗ |
| #13,795 | FabianBeiner/PHP-IMDB-Grabber | PHP | ★ 275 | Compare ↗ |
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| #13,795 | richardwilkes/gcs | Go | ★ 275 | Compare ↗ |
Frequently Asked Questions
What does torch_ecg do? +
Deep learning ECG models implemented using PyTorch
Is torch_ecg actively maintained in 2026? +
Yes, torch_ecg is actively maintained. The latest code push was recorded on Oct 26, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 275 stars and 12 open issues.
What language is torch_ecg written in? +
The primary language is Python. Topics include: deep-learning, ecg, pytorch.
How many stars does torch_ecg have? +
torch_ecg has 275 stars and 33 forks on GitHub.
How does torch_ecg rank among GitHub repositories? +
With 275 stars, DeepPSP/torch_ecg is ranked #13,795 globally across all repositories tracked on GitHubRepo and #1,770 among Python projects.
What license is torch_ecg distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
