sunlabuiuc/PyHealth
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
⚡ Executive Summary & Quick Facts
Authoritative SourcePyHealth is PyHealth is an open-source project written in Python: A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), sunlabuiuc/PyHealth has accumulated 1,692 GitHub stars and 848 forks. It is written in Python, licensed under MIT, and ranks #6,252 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
| Repository | sunlabuiuc/PyHealth ↗ |
|---|---|
| Primary Category | benchmark |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1.7K stars · ⑂ 848 forks · #6,252 globally |
| Maintenance | ● Active (Last commit: Nov 3, 2026) · 76 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: 97/100 · Grade A+Yes, PyHealth is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 1,692 stars and 848 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+42
STARS · LAST 30 DAYS
1
PER DAY
#906
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +42 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +17 | +42 |
PyHealth gained 42 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 6 years old and has averaged roughly 282 stars a year. It ranks #906 among Python repositories and #6,252 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#9967
BEST RANK
Nov 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
PyHealth has maintained a continuous presence across global trending indexes, peaking at #9967. Below is the 30-day activity profile:
💡 Overview
PyHealth is an open-source project written in Python: A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Engineered for speed, consistency, and developer ease, it solves common hurdles in benchmark, clinical-data, clinical-nlp. 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 PyHealth⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
PyHealth 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with PyHealth.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install PyHealth using your package manager: `pip install PyHealth`
Initialize your project workspace or configuration file for PyHealth.
Import PyHealth into your codebase or invoke it directly from your terminal.
Execute your test suite or run `PyHealth --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
sunlabuiuc/PyHealth is currently ranked #6,252 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #6,252 | sunlabuiuc/PyHealth This Project | Python | ★ 1.7K | |
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Frequently Asked Questions
What does PyHealth do? +
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Is PyHealth actively maintained in 2026? +
Yes, PyHealth is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,692 stars and 76 open issues.
What language is PyHealth written in? +
The primary language is Python. Topics include: benchmark, clinical-data, clinical-nlp, clinical-research, data-mining.
How many stars does PyHealth have? +
PyHealth has 1,692 stars and 848 forks on GitHub.
How does PyHealth rank among GitHub repositories? +
With 1,692 stars, sunlabuiuc/PyHealth is ranked #6,252 globally across all repositories tracked on GitHubRepo and #906 among Python projects.
What license is PyHealth distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
