End the endless triage from malware attacks and hard-to-remediate CVEs with Python libraries built to be malware-resistant and drop into your existing enterprise applications.
Die weltweit führenden Unternehmen vertrauen Chainguard.
Why Chainguard?
Trusted libraries you can’t get elsewhere
Proactive malware prevention
Stay protected from malicious attacks often inserted during the build and distribution stages of package creation.
Verification by default
Every library is built in a secure, SLSA L2 build system with full provenance and signed SBOMs to prove supply chain integrity.
System scale
Access to hundreds of thousands of versions of libraries across Java, Python, and JavaScript, with more being added every week.
Expertise and experience
The leading open source minds driving the industry forward, delivering new innovations for developers.
Python binaries should always match the source
Today, using PyPI is a leap of faith. You trust that your binaries match their source code. Chainguard builds from source with signed SBOMs and provenance, guaranteeing your dependencies are immune to build-time and distribution-stage malware injections.
Step One
Locate source code
Step Two
Send to Chainguard Factory
Step Three
Use our deep ecosystem expertise to build package in SLSA L2-compliant env.
Step Four
Test built wheels and report success/failure
Step Five
Publish wheels
Step Six
Publish automate provenance
Don’t break your legacy app to fix a vulnerability
Stay secure without the forced refactor. Chainguard backports upstream fixes for critical and high-severity CVEs directly into our malware-resistant libraries. You get the security of the latest patch with the stability of your current version—allowing you to plan upgrades on your terms.
CVE-2024-53908
Remediates a vulnerability in Django that allows remote attackers to execute arbitrary database commands via untrusted JSON field lookups.
CVE-2025-47273
Remediates a vulnerability in setuptools that allows arbitrary file writes and potential remote code execution.
CVE-2022-40898
Remediates a ReDoS vulnerability in wheel that allows remote attackers to exhaust system resources via malicious package filenames.
CVE-2025-48379
Remediates a vulnerability in pillow that allows for potential arbitrary code execution when processing malformed or large DDS images.
Built for teams where speed and security are non-negotiable
Data teams with legacy apps
End the ‘patch or break’ dilemma. We backport hard-to-fix CVEs, so your production pipelines remain secure while you plan your next major version upgrade.
AI/ML startups
Ship fast with enterprise-grade confidence. Pass customer security reviews on day one by proving your AI stack is built on a secure, malware-resistant foundation.x`
Highly regulated enterprises
Audit-ready by default. Replace manual audit prep with automation. Signed SBOMs and provenance prove component integrity and simplify compliance evidence reporting.
16,000+ drop-in, safe Python dependencies
Access the data science and AI stack you need, such as pandas, numpy, and CUDA, along with thousands of other dependencies that are required for your Python application development.
Signed, sealed, and dependable
Every version comes built with full provenance and signed SBOMs, so you have indisputable proof that your dependencies came from the SLSA L2-compliant Chainguard Factory, not a machine from a vulnerable maintainer account.
Drops right into your environment
All of our language ecosystems drop right into your current tools and workflows—meaning no set up time, no change management, and no catastrophic malware risk.
Entdecken Sie den Rest der Chainguard-Produktpalette
Verwandte Ressourcen
Registries and the npm Breach: Sicherung des schwächsten Glieds in der Software-Lieferkette
Jetzt lesen
Malware-resistente Python ohne das Rätselraten
Jetzt lesen
Ankündigung von Chainguard-Bibliotheken: Geschützte Java-Sprachabhängigkeiten, die aus der Quelle erstellt wurden
Jetzt lesen
Chainguards Vision für eine sicherere Software Supply Chain
Jetzt lesen
Panic! At The Distro: Eine Studie zur Malware-Prävention in Linux-Distributionen
Jetzt lesen
Schlechte Python-Pakete zähmen: Python-Malware-Detektoren mit einem Benchmark-Datensatz bewerten
Jetzt lesen







