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Kludex/starlette

The little ASGI framework that shines. 🌟

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • Concentrated ownership — top contributor handles 62% of recent commits
  • Last commit today
  • 26+ active contributors
  • BSD-3-Clause licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: Kludex/starlette

Generated by RepoPilot · document generated 2026-09-13 · concise human review Evidence snapshot · analyzed 2026-09-13T21:40:47.338Z · commit 41db6a707f26

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 26+ active contributors
  • BSD-3-Clause licensed
  • CI configured
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Starlette is a lightweight ASGI framework for building async web services in Python. It provides HTTP routing, WebSocket support, middleware (CORS, GZip, sessions), background tasks, and a test client—all with minimal dependencies and 100% type coverage. It's positioned as the foundation layer beneath higher-level frameworks like FastAPI. Monolithic design: starlette/ contains all core modules organized by concern (routing.py, middleware/, requests.py, responses.py, websockets.py, testclient.py). Middleware is pluggable via starlette/middleware/. Tests and docs are external (mkdocs.yml suggests Markdown-driven docs). Uses uv.lock for dependency pinning and pyproject.toml for modern Python…

Start here

Read these in order:

  • starlette/exceptions.py — Foundation: doesn't import anything internally and is imported by 19 other files. Read first to learn the vocabulary.
  • starlette/middleware/__init__.py — Foundation: imported by 18, no internal dependencies of its own.
  • starlette/concurrency.py — Built on the foundation; imported by 8 downstream files.
  • starlette/status.py — Built on the foundation; imported by 0 downstream files.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/Kludex/starlette.git
cd starlette
# Install with uv (modern Python package manager) or pip
uv sync  # or: pip install -e .
pip install uvicorn  # Required ASGI server

Daily commands:

uvicorn main:app --reload

(From README example: creates a starlette.applications.Starlette instance named 'app' and serves it via Uvicorn ASGI server on localhost:8000.)

Key cautions & unknowns

  • Concentrated ownership — top contributor handles 62% of recent commits
  • No required environment variables are evident in the file list. However: (1) The testclient.py depends on httpx being installed—tests will fail silently if it's missing despite being optional in pyproject.toml. (2)…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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