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An ultra-fast Python package server, written in Rust.

pypiron is the fastest, most reliable PyPI server (and mirror) available.

Max sustained install throughput: pypiron vs bandersnatch, pypiserver, pypicloud, devpi, proxpi

  • 100×+ faster than any PyPI server. 8,288 verified installs/s on 2 vCPU.
  • Serves PyPI-scale traffic — measured, not extrapolated. Replaying PyPI's real download stream, one 8-vCPU box handles the index at ~200,000 requests/s with p99 under 3 ms — about double PyPI's global average (bench/replay).
  • Dependency cooldown, on by default. New releases wait 7 days. Most attacks surface first.
  • Private and public, one URL. A name is yours or PyPI's, never both. No dependency confusion.
  • Scales to a fleet. Point any number of nodes at one bucket. No coordination.
  • Survives a region — or a whole cloud — going down. Run nodes across regions or clouds (S3 + GCS + Azure) on one bucket list; every upload lands on all of them, and reads fail over with zero data loss.
  • Works with everything. uv, pip, poetry, pdm, twine, pipenv, hatch, flit.
  • Download stats built in (beta).

Quickstart

# 1. Start a server (serves http://localhost:8080) — native binary…
uvx pypiron serve --admin-pass "$ADMIN"

# …or in a container (storage at /data, built-in healthcheck):
docker run -p 8080:8080 -e PYPIRON_ADMIN_PASS="$ADMIN" \
  ghcr.io/blackthorn-interstellar/pypiron:latest

# 2. Publish
uv publish --publish-url http://localhost:8080/legacy/ \
  --username admin --password "$ADMIN" dist/*

# 3. Install
uv add --default-index http://localhost:8080/simple/ acme-widgets

Only --admin-pass set: writes need the admin credential, reads stay public. pip, twine, and poetry equivalents: https://pypiron.com/#quickstart.

Going further

  • Setup — private packages, public proxy, sync mirror, S3
  • Configuration — every flag and its PYPIRON_* env var
  • Benchmarks — how the numbers above were measured
  • For AI agents — a decision guide, written agent to agent

Tested like your supply chain depends on it

Anyone can post a benchmark chart. pypiron is validated end-to-end, adversarially, and continuously — and every claim below links to a check you can run yourself.

  • The whole ecosystem, for real. Every test run drives the real server over HTTP with eight real clients — uv, pip, poetry, pdm, pipenv, hatch, flit, twine. Not mocks: the actual tools your team uses.
  • All of PyPI. All of it. The parsers chew through every file ever uploaded to PyPI — all 17 million — and match ground truth on each one.
  • Kill -9'd until it's boring. We kill the server at every step of every write, kill fleet nodes mid-upload, and feed it truncated, corrupted, and hash-mismatched upstream responses. It converges to a consistent, installable state every time (crash sweep, fleet chaos, upstream faults).
  • Convergence is machine-checked, not sampled. A model checker exhaustively verifies the write protocol and the multi-bucket merge over every bounded interleaving of writers, workers, crashes, and partition-shaped conflicts — running the same decision functions the server ships, bound by conformance tests so code and model can't drift apart (the models).
  • A fleet in a bottle, every night. Deterministic simulation runs a whole multi-node fleet single-threaded on virtual time — on the order of a hundred thousand seeded crash/fault/restart schedules per night, every failure reproducible from an 8-byte seed (the simulator).
  • Fuzzed nightly, audited on every PR. Coverage-guided fuzzers hammer the parsers that eat attacker-controlled bytes every night; a new advisory anywhere in the dependency tree fails the build.
  • Audited until the findings ran dry. Fable 5 — Anthropic's frontier model — ran security audit pass after security audit pass until they came back clean. All told, over $7,000 of frontier-model compute (at API list prices) went into building and hardening pypiron.
  • Benchmarks with nothing to hide. The chart above comes from published docker-compose rigs for all five competitors. Re-run it. We'll wait.

Comparison

Hover a checkmark for the caveat where your Markdown renderer supports it.

Feature pypiron bandersnatch pypiserver pypicloud devpi proxpi
Easy setup ✅ — ✅ — — ✅
Fast ✅ ✅ — — — —
Private package hosting ✅ — ✅ ✅ ✅ —
Caching PyPI proxy ✅ — — ✅ ✅ ✅
Sync mirror ✅ ✅ — — — —
Dependency cooldown ✅ — — — — —
Malware blocking ✅ — — — — —
No dependency confusion ✅ — — — ✅ —
Vulnerability audit ✅ — — — — —
Scalable without database ✅ ✅ — — — —
Multi-region / multi-cloud failover ✅ — — — ✅ —
Human-readable package pages ✅ — — ✅ ✅ —
Download stats ✅ — — — — —
Disk-backed ✅ ✅ ✅ ✅ ✅ ✅
Cloud-storage-backed ✅ ✅ — ✅ — —

Compared with bandersnatch, pypiserver, pypicloud (archived since 2023), devpi, and proxpi.

License

MIT — see LICENSE.

Project links

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Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bryced from gravatar.com bryced

Credits

Author: Blackthorn Interstellar

GitHub Statistics

Data verified by PyPI on 
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT

Requires

Python >=3.8

Tags

pypi package-server rust s3

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The following attestation bundles were made for pypiron-0.0.14-py3-none-macosx_10_12_x86_64.whl:

Publisher: ci.yml on blackthorn-interstellar/pypiron

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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