leggedrobotics/foothold-prediction-model
Code for Watch Your Step: Anticipated Perception for Humanoid Locomotion, training a humanoid with a foothold prediction model.
⚡ Executive Summary & Quick Facts
Authoritative Sourcefoothold-prediction-model is foothold-prediction-model is an open-source project written in Python: Code for Watch Your Step: Anticipated Perception for Humanoid Locomotion, training a humanoid with a foothold prediction model..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), leggedrobotics/foothold-prediction-model has accumulated 121 GitHub stars and 5 forks. It is written in Python, licensed under MIT, and ranks #21,661 globally. It is actively maintained with the latest commit recorded on Oct 22, 2026.”
| Repository | leggedrobotics/foothold-prediction-model ↗ |
|---|---|
| Primary Category | humanoid |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 121 stars · ⑂ 5 forks · #21,661 globally |
| Maintenance | ● Active (Last commit: Oct 22, 2026) · 0 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, foothold-prediction-model is actively maintained. Continuous telemetry recorded the last code commit on Oct 22, 2026 (12 days ago). Supported by 121 stars and 5 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
#2,870
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 |
foothold-prediction-model gained 10 stars in the last 30 days, about 1 a day, and now has 121. It is about 1 year old and has averaged roughly 121 stars a year. It ranks #2,870 among Python repositories and #21,661 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#20376
BEST RANK
Nov 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
foothold-prediction-model has maintained a continuous presence across global trending indexes, peaking at #20376. Below is the 30-day activity profile:
💡 Overview
foothold-prediction-model is an open-source project written in Python: Code for Watch Your Step: Anticipated Perception for Humanoid Locomotion, training a humanoid with a foothold prediction model.
Engineered for speed, consistency, and developer ease, it solves common hurdles in humanoid, isaaclab, legged-robots. 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 foothold-prediction-model⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
foothold-prediction-model 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 foothold-prediction-model 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 foothold-prediction-model using your package manager: `pip install foothold-prediction-model`
Initialize your project workspace or configuration file for foothold-prediction-model.
Import foothold-prediction-model into your codebase or invoke it directly from your terminal.
Execute your test suite or run `foothold-prediction-model --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
leggedrobotics/foothold-prediction-model is currently ranked #21,661 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #21,584 | Lico124378/macau-hidden-bites | Python | ★ 122 | Compare ↗ |
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| #21,584 | FreedomIntelligence/BodyVista | JavaScript | ★ 122 | Compare ↗ |
| #21,661 | leggedrobotics/foothold-prediction-model This Project | Python | ★ 121 | |
| #21,661 | TwP/bones | Ruby | ★ 121 | Compare ↗ |
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Frequently Asked Questions
What does foothold-prediction-model do? +
Code for Watch Your Step: Anticipated Perception for Humanoid Locomotion, training a humanoid with a foothold prediction model.
Is foothold-prediction-model actively maintained in 2026? +
Yes, foothold-prediction-model is actively maintained. The latest code push was recorded on Oct 22, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 121 stars and 0 open issues.
What language is foothold-prediction-model written in? +
The primary language is Python. Topics include: humanoid, isaaclab, legged-robots, locomotion, perception.
How many stars does foothold-prediction-model have? +
foothold-prediction-model has 121 stars and 5 forks on GitHub.
How does foothold-prediction-model rank among GitHub repositories? +
With 121 stars, leggedrobotics/foothold-prediction-model is ranked #21,661 globally across all repositories tracked on GitHubRepo and #2,870 among Python projects.
What license is foothold-prediction-model distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
