PyPI

PyPI security breaches forced strict corporate policies, fragmented package management (pip/conda), and critical libraries like NumPy and Pandas struggle with GPU demands, creating incompatible forks and version conflicts.

Malicious packages exploiting pip vulnerabilities peaked in 2024. Companies mandate expensive audits and SBOM generation, with developers spending more time on compliance than coding. Python's dynamic typing complicates security reviews.