whylogs-sketching
sketching library of whylogs
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible Python version; check available wheels for your platform and Python version.
- 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 · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
last release 2022-09-01 (1443 days) · last repo commit 2024-10-22
0 known vulnerabilities (OSV.dev, 2026-08-14) · 107,523 downloads/mo, #12,611 on PyPI
Alternatives
Verify before relying
pip install whylogs-sketching
import whylogs_sketching
# Use sketching algorithms from the Apache DataSketches library- 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
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 on this page. Verify before relying on it.
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
whylogs-sketching on PyPI
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.
Requires a compatible Python version; check available wheels for your platform and Python version.
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 libraryVerify 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 | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,443 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 107,523 / month, #12,611 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: whylogs_sketching-3.4.1.dev3-cp310-cp310-macosx_10_9_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp310-cp310-macosx_11_0_arm64.whl; whylogs_sketching-3.4.1.dev3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; whylogs_sketching-3.4.1.dev3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp310-cp310-musllinux_1_1_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp310-cp310-win_amd64.whl; whylogs_sketching-3.4.1.dev3-cp311-cp311-macosx_10_9_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp311-cp311-musllinux_1_1_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp311-cp311-win_amd64.whl; whylogs_sketching-3.4.1.dev3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; whylogs_sketching-3.4.1.dev3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp312-cp312-musllinux_1_2_aarch64.whl; whylogs_sketching-3.4.1.dev3-cp36-cp36m-macosx_10_9_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp36-cp36m-musllinux_1_1_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp36-cp36m-win_amd64.whl; whylogs_sketching-3.4.1.dev3-cp37-cp37m-macosx_10_9_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; whylogs_sketching-3.4.1.dev3-cp37-cp37m-musllinux_1_1_x86_64.whl
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