{"enrichment":{"capability":"Einops provides readable tensor operations (rearrange, reduce, repeat, pack, unpack, einsum) that work across numpy, PyTorch, TensorFlow, JAX, and other frameworks, making multidimensional array manipulation explicit and maintainable.","verdict":"Einops is a mature, well-maintained library with zero security vulnerabilities and permissive MIT licensing. Its zero runtime dependencies and low install friction make it a low-risk addition to any project. Active development and broad framework support make it a reliable choice for readable tensor operations."},"id":"einops","links":{"html":"https://skillfed.io/packages/einops","md":"https://skillfed.io/packages/einops.md","pypi":"https://pypi.org/project/einops/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-01-26","license_spdx":null,"license_treatment":"permissive","name":"einops","python_support":"supports_current","summary":"A new flavour of deep learning operations"},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"0.8.2"}