{"enrichment":{"capability":"ml_dtypes provides NumPy-compatible data types for machine learning, including bfloat16, 8-bit floats (float8_e5m2, float8_e4m3, etc.), 4\u20136-bit microscaling formats, and narrow integers (int1\u2013int4, uint1\u2013uint4).","verdict":"A well-maintained, actively developed library for low-precision ML dtypes with broad platform support and no known vulnerabilities. Apache-2.0 licensing is permissive. Medium install friction is typical for compiled extensions; suitable for ML workflows that need bfloat16 or float8 support in NumPy."},"id":"ml-dtypes","links":{"html":"https://skillfed.io/packages/ml-dtypes","md":"https://skillfed.io/packages/ml-dtypes.md","pypi":"https://pypi.org/project/ml-dtypes/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"ml-dtypes","python_support":"supports_current","summary":"ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning."},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}