Show HN: Uv-matrix – A tiny matrix runner for Python projects using Astral uv

Description and use

**Brief Summary (2‑3 sentences)**
Uv‑matrix is a lightweight “matrix runner” that lets Python projects execute test suites across multiple Python versions using Astral uv as the underlying package manager and environment builder. It automates the creation of isolated uv‑based virtual environments, runs the same command in each, and aggregates the results, making it easy to verify compatibility without a full CI service.

**Value**

• **Speed & Simplicity** – uv’s fast dependency resolution and native binary wheels make matrix runs much quicker than traditional pip‑virtualenv loops.
• **Zero‑config CI‑like feedback** – developers can run uv-matrix locally to catch version‑specific failures before committing, reducing CI pipeline load.
• **Small footprint** – the tool is a single Python script with minimal dependencies, ideal for prototypes, internal tooling, or projects that cannot afford a heavyweight CI setup.

**Practical Adoption Path**

1. **Clone & Inspect** – Fork the repo, verify the license (MIT‑style), and read the README for usage examples.
2. **Add to Project** – Install uv (pip install uv) and add uv-matrix as a development dependency (uv add -d uv-matrix).
3. **Define Matrix** – Create a simple config file (e.g., matrix.yaml) listing the Python versions you need to test.
4. **Run Locally** – Execute uv-matrix run pytest (or any command) and review the aggregated output.
5. **Integrate into CI** – If the local workflow is satisfactory, add the same command to your CI script (GitHub Actions, GitLab CI, etc.) to run the matrix automatically on pushes.

**Production Readiness**

• **Current Status:** Medium. The project is recently updated (2026‑06‑26) and shows basic activity, but signals such as issue tracking, release cadence, and extensive documentation are sparse.
• **Recommended Use:** Suitable for prototypes, internal tooling, or as a supplemental test step in a larger CI pipeline. Before using in production, perform a short audit: confirm the license, test the tool against your own matrix, monitor for any unmaintained dependencies, and consider adding your own fork with a stricter release policy if long‑term stability is required.

Use in a workflow

Show HN: Uv-matrix – A tiny matrix runner for Python projects using Astral uv may be useful when its README and activity match a concrete workflow.

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.