---
id: whylogs-sketching
version: "3.4.1.dev3"
license: Apache License 2.0
license_treatment: permissive
maintenance: dormant
---

# whylogs-sketching — sketching library of whylogs

License: permissive · Maintenance: dormant · Downloads: 107.5K/mo

## What it is and what it does

whylogs-sketching is a Python wrapper around Apache DataSketches' core C++ library, exposing sketching algorithms for efficient approximate computation on large or streaming datasets. The library implements algorithms that allow you to estimate cardinality, compute set operations, and summarize data distributions without storing the full dataset in memory.

The package is built as compiled wheels for multiple Python versions and platforms (macOS, Linux, Windows). It has no runtime dependencies and installs as a self-contained binary component. However, the package has been dormant since its latest release on 2022-09-01, with no recent maintenance activity, which may affect compatibility with newer Python releases or bug fixes.

Use it for:

- Estimate cardinality of large datasets or streams without storing all elements in memory
- Compute approximate set operations across distributed data sources
- Monitor data quality and detect distribution shifts in streaming pipelines
- Build efficient approximate frequency tables or quantile sketches for exploratory data analysis

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python bindings to Apache DataSketches' core C++ sketching algorithms for probabilistic data analysis and cardinality estimation.

Yes, if you need sketching algorithms and can tolerate dormant maintenance. The package is permissively licensed, has no runtime dependencies, and provides access to well-established Apache DataSketches algorithms. However, verify that version 3.4.1.dev3 works with your target Python version and that the lack of recent maintenance does not conflict with your stability requirements.

## Install

pip install whylogs-sketching
uv add whylogs-sketching
poetry add whylogs-sketching

## Installing whylogs-sketching

Before you install: Medium install friction due to compiled wheel distribution across multiple Python versions and platforms. Package is dormant—last release was 2022-09-01 with no commits since 2024-10-22, indicating no active maintenance.

License in practice: Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.

Quickstart:

pip install whylogs-sketching

import whylogs_sketching
# Use sketching algorithms from the Apache DataSketches library

Requires a compatible Python version; check available wheels for your platform and Python version.

Verify before relying:

- Whether this package is still actively maintained or if whylogs has migrated to a different sketching implementation
- Compatibility with Python versions newer than those with available wheels given the dev version and dormant status
- Whether the C++11 requirement and compiled nature create deployment constraints in containerized environments

## Package facts

- License: Apache License 2.0 (permissive)
- Python support: unspecified
- Install friction: medium
- Maintenance: dormant
- Downloads: 107.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

sketching algorithms python, cardinality estimation library, probabilistic data structures, datasketches python bindings, streaming data summarization, approximate counting, data sketches, sketching-algorithms, approximate-computing, data-structures

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