ml-dtypes
PyPIv0.6.0ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.
Not recommended for new projects
No — ml-dtypes should not be adopted for new projects. No license declared — you have no explicit right to use this code.
- ?Adoption: grade ?, Not reported by this registry.
No download data reported for this package yet.
- AMaintenance: grade A, Excellent.
Last published 27 days ago. 6 releases in the last 2 years.
- AWeight: grade A, Excellent.
Pulls in 1 transitive package, about 17 MB installed.
- BSupply chain: grade B, Good.
This package lists no maintainer.
- FLicense: grade F, Failing.
No license declared — you have no explicit right to use this code.
Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.
Install cost
What you actually take on by adding ml-dtypes to a project.
Runtime packages this one declares itself.
Distinct packages in the full runtime tree, deduplicated the way a package manager would.
Unpacked size of this package plus its entire runtime tree.
Longest resolved dependency chain below this package.
Compatibility
- Python
- python >=3.10
Quick start
A usage example from the ml-dtypes README.
>>> from ml_dtypes import bfloat16
>>> import numpy as np
>>> np.zeros(4, dtype=bfloat16)
array([0, 0, 0, 0], dtype=bfloat16)Dependencies
Declared by ml-dtypes v0.6.0. Runtime dependencies are installed with the package; dev dependencies are not.
Runtime (1)
Used by
Popular packages that depend on ml-dtypes.
Relationship graph
Dependencies (left) and dependents (right) of ml-dtypes.
Frequently installed together
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Optimized PyTree Utilities.
Release history
4 releases in the last two years, typically about 56 days apart.
| Version | Published | Size | License |
|---|---|---|---|
| 0.6.0latest | 27 days ago | 554 KB | — |
| 0.5.4 | 9 months ago | 664 KB | — |
| 0.5.3 | 1 year ago | 652 KB | — |
| 0.5.1 | 1 year ago | 656 KB | — |
| 0.5.0 | 2 years ago | 720 KB | — |
| 0.4.1 | 2 years ago | 389 KB | — |
| 0.4.0 | 2 years ago | 382 KB | — |
| 0.4.0b1 | 2 years ago | 382 KB | — |
| 0.3.2 | 2 years ago | 381 KB | — |
| 0.3.1 | 3 years ago | 340 KB | — |
| 0.3.0 | 3 years ago | 339 KB | — |
| 0.2.0 | 3 years ago | 1.1 MB | — |
| 0.1.0 | 3 years ago | 310 KB | — |
| 0.0.4 | 3 years ago | 221 KB | — |
| 0.0.3 | 3 years ago | 218 KB | — |
Overview
ml-dtypes is an PyPI package that ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning. It has 1 known dependents in the graph. The latest version is 0.6.0.
Who should use it
Teams working in the PyPI ecosystem who need ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning and value a focused solution.
When not to use it
Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.
Pros
- Lean dependency tree (1 direct dependencies).
Cons
- No license detected — review usage terms before adopting.
Auto-generated from collected registry metadata. No external claims are inferred.
Frequently asked questions
Should I use ml-dtypes?
No — ml-dtypes should not be adopted for new projects. No license declared — you have no explicit right to use this code.
How do I install ml-dtypes?
Run `pip install ml-dtypes` to add ml-dtypes to your PyPI project.
How many dependencies does ml-dtypes have?
ml-dtypes declares 1 direct dependency and pulls in 1 packages in total once its runtime tree is resolved totalling about 17 MB on disk.
What license is ml-dtypes released under?
No license was detected in ml-dtypes's metadata; review the repository before use.
How popular is ml-dtypes?
PyPI does not publish download counts. Within PackageGraph's crawl, 1 known packages depend on ml-dtypes.
Is ml-dtypes still maintained?
The most recent release of ml-dtypes (v0.6.0) was published 27 days ago.