Registry / data / quantile-python

quantile-python

library1.1pypypi✓ verified 82d ago

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE'05. Version 1.1 is the latest stable release. The library has a low release cadence with no recent updates; it provides an efficient algorithm for computing biased quantiles over data streams.

data

pip install quantile-python

github ↗package ↗

INSTALL

IMPORT

SIG · QUANTILE-PYTHON

quantile-python

datapythonv1.1

Install

2.5s avg

Import

—

Disk

17MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1 · 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 · 19.2MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 2.5s · import 0.000s · 20MB

17MB installed

● package 17MB

Code

Verified usage

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

Estimator

✓ from quantile import Estimator

✗ from quantile_python import QuantileEstimator

Demonstrates creating a QuantileEstimator, inserting values, and querying quantiles.

from quantile_python import QuantileEstimator # Create an estimator with a desired error epsilon (epsilon = 0.001 means about 0.1% error) estimator = QuantileEstimator(epsilon=0.001) for value in range(1000): estimator.insert(value) # Get quantiles: 0.5 (median), 0.9, 0.99 print("Median:", estimator.query(0.5)) print("90th percentile:", estimator.query(0.9)) print("99th percentile:", estimator.query(0.99))

Debug

Known issues

gotchaThe import path uses underscores (quantile_python), not hyphens. Importing with hyphens (quantile-python) will raise ModuleNotFoundError.

fix

Use 'from quantile_python import QuantileEstimator'.

affects: all

gotchaThe epsilon parameter controls the memory-accuracy tradeoff; very small epsilon (e.g., 0.0001) may cause excessive memory usage or slow insertions.

fix

Start with epsilon=0.01 or higher for large streams.

affects: all

deprecatedThe library has not been updated since 1.1 (released ~2022). It depends on Python standard libraries only but may not support newer Python versions if breaking changes occur.

fix

Test with your Python version; consider switching to alternative libraries like tdigest if compatibility issues arise.

affects: >=1.1

Upgrade

Version history

1.1latest on PyPI · released Feb 11, 2015

Audit

Dependencies

No dependency data recorded yet.

Agent activity

2 hits · last 30 days

node

Resources

githubhttps://github.com/matttproud/python_quantile_estimation ↗

packagehttps://pypi.org/project/quantile-python/ ↗