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robocurve/inspect-robots

Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.

Python ◇ benchmark MIT
★635STARS
⑂76FORKS
!76ISSUES
🏆#5,275GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#677

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+16+90
Per day111
Forks gained+1+3+10

inspect-robots gained 16 stars in the last 30 days, about 1 a day, and now has 635. It is about 1 year old and has averaged roughly 635 stars a year. It ranks #677 among Python repositories and #5,275 across all languages on GitHubRepo.

Trending Record

inspect-robots has maintained a continuous presence across global trending indexes, peaking at #5393. Below is the 30-day activity profile:

💡 Overview

inspect-robots is an open-source project written in Python: Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.

Engineered for speed, consistency, and developer ease, it solves common hurdles in benchmark, embodied-ai, evaluation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install inspect-robots

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

inspect-robots 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 inspect-robots.

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

1

Install inspect-robots using your package manager: `pip install inspect-robots`

2

Initialize your project workspace or configuration file for inspect-robots.

3

Import inspect-robots into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `inspect-robots --help` to verify successful setup.

👍 Strengths

Active community backing with 635 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

robocurve/inspect-robots is currently ranked #5,275 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,270 chasmlol/2010-rust-rewrite-mashup Rust ★ 637 Compare ↗
#5,270 caprover/one-click-apps JavaScript ★ 637 Compare ↗
#5,272 chummer5a/chummer5a C# ★ 636 Compare ↗
#5,272 discourse/logster Ruby ★ 636 Compare ↗
#5,272 ari/jobsworth Ruby ★ 636 Compare ↗
#5,275 robocurve/inspect-robots This Project Python ★ 635
#5,275 redai-studio/Relax Python ★ 635 Compare ↗
#5,275 microsoft/agent-framework-go Go ★ 635 Compare ↗
#5,278 viettranx/3dviz-pro-max JavaScript ★ 634 Compare ↗
#5,278 esp32-si4732/ats-mini C++ ★ 634 Compare ↗
#5,278 asdfghj1237890/mini-macau TypeScript ★ 634 Compare ↗

Frequently Asked Questions

What does inspect-robots do? +

Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.

What language is inspect-robots written in? +

The primary language is Python. Topics include: benchmark, embodied-ai, evaluation, physical-ai, rerun.

Is inspect-robots actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 76 open issues being tracked.

How many stars does inspect-robots have? +

inspect-robots has 635 stars and 76 forks on GitHub.

How does inspect-robots rank among GitHub repositories? +

With 635 stars, robocurve/inspect-robots is ranked #5,275 globally across all repositories tracked on GitHubRepo and #677 among Python projects.

What license is inspect-robots distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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