paninski-lab/lightning-pose
Accelerated 2D and 3D pose estimation using semi-supervised learning
⚡ Executive Summary & Quick Facts
Authoritative Sourcelightning-pose is lightning-pose is an open-source project written in Python: Accelerated 2D and 3D pose estimation using semi-supervised learning..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), paninski-lab/lightning-pose has accumulated 323 GitHub stars and 58 forks. It is written in Python, licensed under MIT, and ranks #12,802 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | paninski-lab/lightning-pose ↗ |
|---|---|
| Primary Category | behavior analysis |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 323 stars · ⑂ 58 forks · #12,802 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 7 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, lightning-pose is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (1 days ago). Supported by 323 stars and 58 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
#1,654
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 |
lightning-pose gained 10 stars in the last 30 days, about 1 a day, and now has 323. It is about 5 years old and has averaged roughly 65 stars a year. It ranks #1,654 among Python repositories and #12,802 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#13441
BEST RANK
Oct 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
lightning-pose has maintained a continuous presence across global trending indexes, peaking at #13441. Below is the 30-day activity profile:
💡 Overview
lightning-pose is an open-source project written in Python: Accelerated 2D and 3D pose estimation using semi-supervised learning.
Engineered for speed, consistency, and developer ease, it solves common hurdles in behavior-analysis, pose-estimation, pytorch-lightning. 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 lightning-pose⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
lightning-pose 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 lightning-pose 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 lightning-pose using your package manager: `pip install lightning-pose`
Initialize your project workspace or configuration file for lightning-pose.
Import lightning-pose into your codebase or invoke it directly from your terminal.
Execute your test suite or run `lightning-pose --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
paninski-lab/lightning-pose is currently ranked #12,802 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,782 | mkurman/zorai | Rust | ★ 324 | Compare ↗ |
| #12,782 | DeHor-Labs/mcp-fiscal-brasil | Python | ★ 324 | Compare ↗ |
| #12,782 | tvollstaedt/exodium | Rust | ★ 324 | Compare ↗ |
| #12,782 | rashn/RuSwitcher | Swift | ★ 324 | Compare ↗ |
| #12,782 | hanxiao/omni-macos | Swift | ★ 324 | Compare ↗ |
| #12,802 | paninski-lab/lightning-pose This Project | Python | ★ 323 | |
| #12,802 | janv/rest_in_place | JavaScript | ★ 323 | Compare ↗ |
| #12,802 | yamcs/yamcs | Java | ★ 323 | Compare ↗ |
| #12,802 | react-component/input-number | TypeScript | ★ 323 | Compare ↗ |
| #12,802 | ovh/terraform-provider-ovh | Go | ★ 323 | Compare ↗ |
| #12,802 | davidsansome/tsurukame | Swift | ★ 323 | Compare ↗ |
Frequently Asked Questions
What does lightning-pose do? +
Accelerated 2D and 3D pose estimation using semi-supervised learning
Is lightning-pose actively maintained in 2026? +
Yes, lightning-pose is actively maintained. The latest code push was recorded on Oct 27, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 323 stars and 7 open issues.
What language is lightning-pose written in? +
The primary language is Python. Topics include: behavior-analysis, pose-estimation, pytorch-lightning.
How many stars does lightning-pose have? +
lightning-pose has 323 stars and 58 forks on GitHub.
How does lightning-pose rank among GitHub repositories? +
With 323 stars, paninski-lab/lightning-pose is ranked #12,802 globally across all repositories tracked on GitHubRepo and #1,654 among Python projects.
What license is lightning-pose distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
