ml-dtypes

PyPI v0.5.4

6,682,998 weekly downloads · 5 Dependencies

Source data as of:

Summary

mldtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

Install pip install ml-dtypes

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 6,682,998 Source: PyPI (Python Package Index)
Releases 18 Last release: 2025-11-17 Source: PyPI (Python Package Index)
Dependencies 5 Source: PyPI (Python Package Index)

Description

mldtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Show original (raw) description
ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

Package details

Package
ml-dtypes
Registry
PyPI
Version
0.5.4
Weekly downloads
6,682,998 (weekly)
Dependencies
5: numpy
Releases
18
Last release
2025-11-17
First published
2023-03-10

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 18.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 2.3 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 67.9 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources