simplecosine

library1.2pypypiunverified

Simple cosine distance calculation for vectors. Version 1.2 provides a straightforward function to compute cosine similarity or distance between two vectors. No active development, stable API.

ai-ml data

pip install simplecosine

github ↗package ↗

INSTALL

IMPORT

SIG · SIMPLECOSINE

simplecosine

ai-mlpythonv1.2

Install

3.6s avg

Import

—

Disk

89MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 89.4MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 3.6s · import 0.000s · 86MB

89MB installed

● package 89MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

cosine_distance

✓ from simplecosine import cosine_distance

✗ from simplecosine.cosine import cosine_distance

Compute cosine distance between two vectors

import os from simplecosine.cosine import cosine_distance v1 = [1, 0, 0] v2 = [0, 1, 0] result = cosine_distance(v1, v2) print(result) # Output: 1.0

Debug

Known issues

gotchacosine_distance returns cosine distance (1 - similarity), not similarity. Many users expect similarity and misinterpret the result.

fix

Use 1 - cosine_distance(a, b) to get cosine similarity

affects: all

gotchaThe function only works with 2D vectors; does not support sparse arrays or arrays of different lengths. It will raise error or give wrong results.

fix

Ensure both vectors are Python lists of floats/ints of same length

affects: all

Upgrade

Version history

1.2latest on PyPI · released Jun 15, 2017

Audit

Dependencies

No dependency data recorded yet.

Agent activity

22 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/datamade/simplecosine ↗

packagehttps://pypi.org/project/simplecosine/ ↗