pypiron vs Artifactory

Artifactory governs many artifact types in one platform. pypiron serves Python packages from one self-hosted binary. If Python is the job, pypiron is fast, compact, and MIT-licensed. If one platform must govern Docker, Maven, npm, PyPI, and the rest, choose Artifactory.

Choose Artifactory when

• You need one platform for every artifact type. Docker, Maven, npm, NuGet, Go, PyPI, and more. pypiron is Python only.
• Enterprise governance. Fine-grained RBAC, SSO/LDAP, audit trails, replication topologies, and a vendor support contract. pypiron has admin/uploader/reader credentials plus short-lived install tokens. It does not replace org-wide identity and policy.
• You want paid support and an SLA. Artifactory offers both. pypiron is self-run.

Choose pypiron when

• You only need Python packages. Host private packages and cache PyPI behind one URL.
• You want less to run. One binary, no database, local disk or an S3/GCS/Azure bucket. No license server.
• Install speed matters. pypiron sustained 8,288 installs/s on 2 vCPU.
• Security should start on. A 7-day release cooldown, malware blocking, and private-name protection need no policy engine (details).
• You need multi-region without an enterprise tier. One bucket list spans regions or clouds; reads fail over automatically (setup).

Side by side

	pypiron	Artifactory
Private PyPI hosting	✅	✅
Cache / proxy PyPI	✅	✅ (remote repos)
Other artifact types	Python only	Docker, Maven, npm, …
Cloud storage	S3, GCS, Azure	✅
Database required	no	yes
License	MIT, self-hosted	commercial and free editions
Enterprise RBAC / SSO	admin/uploader/reader credentials	✅
Dependency cooldown	✅ default	via policy config
Multi-region failover	one bucket list	HA / replication tiers
Peak installs/s (2 vCPU)	8,288	—

Pick the smaller tool that fits

Choose Artifactory for company-wide artifact governance. Choose pypiron for a fast private PyPI and public-package cache without the platform around it.

Start pypiron · Deploy on cloud storage · Migrate from Artifactory