julia
by JuliaLangThe Julia Programming Language
In simple words: abstreet is a tool made for people who build software, for seeing science experiments on a screen instead of a lab. It is completely free and open source — its code is public on GitHub, where 8,188 people have bookmarked it as worth using.
💡 A real-life example: You learn new words a few cards at a time with a tool like this — a little daily practice that actually stays in memory.
RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.
Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under Science Simulations in Education & Learning, a category made for students, teachers, parents and lifelong learners.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the Apache-2.0 license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Quiet · Last code update: 10 Sep 2025 · Created: 04 Jun 2018 · Open issues: 234
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 8188 stars · 🍴 383 forks · 🐛 234 open issues · 💻 Language: Rust · 📄 License: Apache-2.0 · Default branch: main
The Julia Programming Language
:memo: An awesome Data Science repository to learn and apply for real world problems.
💿 Free software that works great, and also happens to be open-source Python.
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