Is numpy-quaddtype safe to use?

numpy-quaddtype has no known vulnerabilities on the latest version (1.0.0). DepScope rates its health at 52/100 (high risk).

What is the latest version of numpy-quaddtype?

The latest version of numpy-quaddtype is 1.0.0, released 2026-01-23.

Does numpy-quaddtype have known vulnerabilities?

No known vulnerabilities on the latest version of numpy-quaddtype.

Is numpy-quaddtype deprecated?

No, numpy-quaddtype is actively maintained. Latest release: 1.0.0 (2026-01-23).

What are alternatives to numpy-quaddtype?

Popular alternatives to numpy-quaddtype in PyPI include: packaging, urllib3, requests, typing_extensions, charset-normalizer.

What license does numpy-quaddtype use?

numpy-quaddtype is licensed under BSD-3-Clause.

numpy-quaddtype

pypiv1.0.0

Quad (128-bit) float dtype for numpy

License BSD-3-Clausepermissive6 versions10 deps6,102 weekly dl

numpy/numpy-quaddtype

/ 100

Health

use with caution

[email protected] low health (52/100) — consider alternatives

Moderate health score (52/100) — verify manually

Health breakdown0 – 100

15/25

maintenance

6/20

popularity

25/25

security

6/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (10)

numpy pytest;mpmath;pytest-run-parallel;sphinx;pydata-sphinx-theme;myst-parser;sphinx-design;sphinx-copybutton;sphinxcontrib-katex;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/numpy-quaddtype