Skip to main content

Probabilistic Data Structures and Algorithms in Python

Project description

Travis Build Status Current Release Version pypi Version Documentation Version Python versions

The Book

Everybody interested in learning more about probabilistic data structures and algorithms could be referred to our recently published book:

Probabilistic Data Structures and Algorithms for Big Data Applications by Andrii Gakhov

2019, ISBN: 978-3748190486 (paperback) ASIN: B07MYKTY8W (e-book)


Probabilistic data structures is a common name of data structures based on different hashing techniques.

Unlike regular (or deterministic) data structures, they always provide approximated answers, but usually with reliable ways to estimate the error probability.

The potential losses or errors are fully compensated by extremely low memory requirements, constant query time and scaling.

GitHub repository:



The latest documentation can be found at

Membership problem

Cardinality problem

Frequency problem

Rank problem


MIT License

Source code


  • Maintainer: Andrii Gakhov <>

Install with pip

Installation requires a working build environment.

Using pip, PDSA releases are currently only available as source packages.

$ pip3 install -U pdsa

When using pip it is generally recommended to install packages in a virtualenv to avoid modifying system state:

$ virtualenv .env -p python3 --no-site-packages
$ source .env/bin/activate
$ pip3 install -U cython
$ pip3 install -U pdsa

Compile from source

The other way to install PDSA is to clone its GitHub repository and build it from source.

$ git clone
$ cd pdsa

$ make install

$ bin/pip3 install -r requirements-dev.txt
$ make test

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdsa-0.5.0.tar.gz (31.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page