earthtojake/text-to-cad
A library of agent skills for CAD, CAE and CAM
Star History
Momentum
+410
STARS · LAST 30 DAYS
14
PER DAY
#95
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +98 | +410 | +1.3K |
| Per day | 14 | 14 | 14 |
| Forks gained | +9 | +34 | +85 |
text-to-cad gained 410 stars in the last 30 days, about 14 a day, and now has 16.4K. It is about 1 year old and has averaged roughly 16.4K stars a year. It ranks #95 among Python repositories and #504 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#181
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
text-to-cad has maintained a continuous presence across global trending indexes, peaking at #181. Below is the 30-day activity profile:
💡 Overview
text-to-cad is an open-source project written in Python: A library of agent skills for CAD, CAE and CAM.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai-agents, cad. 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 text-to-cad⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
text-to-cad 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 text-to-cad.
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 text-to-cad using your package manager: `pip install text-to-cad`
Initialize your project workspace or configuration file for text-to-cad.
Import text-to-cad into your codebase or invoke it directly from your terminal.
Execute your test suite or run `text-to-cad --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
earthtojake/text-to-cad is currently ranked #504 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #499 | HKUDS/DeepCode | Python | ★ 16.7K | Compare ↗ |
| #500 | Sonarr/Sonarr | C# | ★ 16.6K | Compare ↗ |
| #501 | briannesbitt/Carbon | PHP | ★ 16.6K | Compare ↗ |
| #502 | googleapis/mcp-toolbox | Go | ★ 16.5K | Compare ↗ |
| #503 | pqina/filepond | JavaScript | ★ 16.4K | Compare ↗ |
| #504 | earthtojake/text-to-cad This Project | Python | ★ 16.4K | |
| #505 | lwouis/alt-tab-macos | Swift | ★ 16.3K | Compare ↗ |
| #506 | OpenRCT2/OpenRCT2 | C++ | ★ 16.3K | Compare ↗ |
| #507 | zauberzeug/nicegui | Python | ★ 16.2K | Compare ↗ |
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| #509 | cryptomator/cryptomator | Java | ★ 16.2K | Compare ↗ |
Frequently Asked Questions
What does text-to-cad do? +
A library of agent skills for CAD, CAE and CAM
What language is text-to-cad written in? +
The primary language is Python. Topics include: agents, ai-agents, cad, mechanical-engineering, robotics.
Is text-to-cad actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 16 open issues being tracked.
How many stars does text-to-cad have? +
text-to-cad has 16,390 stars and 1,700 forks on GitHub.
How does text-to-cad rank among GitHub repositories? +
With 16,390 stars, earthtojake/text-to-cad is ranked #504 globally across all repositories tracked on GitHubRepo and #95 among Python projects.
What license is text-to-cad distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
