pyudorandom

What it is and what it does

Pyudorandom is a pseudorandom number generator that uses algebraic techniques to produce random-like sequences. It has no runtime dependencies, making installation straightforward from a dependency perspective.

The package has been abandoned since 2016-07-18 with no maintenance, repository visibility, or clear licensing. The description excerpt is unavailable, and there is no documentation or project homepage linked. Without active maintenance or clarity on its algebraic approach, fitness for modern use cases is difficult to assess.

Use it for:

• Educational exploration of algebraic approaches to pseudorandom number generation.
• Legacy code that already depends on pyudorandom and cannot be easily refactored.
• Experimentation with deterministic number sequences for reproducible simulations.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Generates pseudorandom numbers using algebraic methods.

No. The package is abandoned with no maintenance since 2016-07-18, unclear licensing, and no accessible documentation. While it has no dependencies, the lack of active support, unknown license terms, and absence of information about its algebraic method make it unsuitable for new projects.

Install

pyudorandom on PyPI

pip install pyudorandom

uv add pyudorandom

poetry add pyudorandom

Installing pyudorandom

Before you install

High install friction with no runtime dependencies, but the package is abandoned—last release was 2016-07-18, over 3679 days ago. No maintenance activity or repository information available.

License in practice

License status is unclear; the package lists no SPDX identifier and raw license information is unknown. This ambiguity may create legal uncertainty for commercial or redistributed use.

Quickstart

pip install pyudorandom==1.0.0
import pyudorandom

Package is abandoned with unclear license and no documented API; actual usage pattern cannot be determined from available fact sheet.

Verify before relying

• What algebraic method(s) does the package use for pseudorandom generation?
• What is the quality or statistical properties of the generated numbers?
• Does the package work with modern Python versions?
• Is there any documentation or usage examples available?

Package facts

Evidence: pyudorandom-1.0.0.tar.gz

Tags

More Mathematics packages