crick
High performance approximate and streaming algorithms
Decision gist · record as of 2026-08-14
Yes, if you need approximate or streaming algorithms for memory-constrained or real-time scenarios. The library is stable, has no vulnerabilities, and covers a specific niche well. However, verify that the specific algorithms you need are implemented, and be aware that active development has slowed—suitable for production use of existing features but not for packages expecting ongoing feature additions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Medium install friction due to compiled wheels; available for current Python versions (3.10+) across major platforms.
- Repository is archived but maintained, with last commit in September 2025.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is permissive; you may use, modify, and distribute crick freely in commercial and private projects provided you retain the license notice.
last release 2024-12-23 (599 days) · last repo commit 2025-09-04 · 27 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 330,780 downloads/mo, #7,530 on PyPI
Alternatives
Verify before relying
pip install crick
import crick
# Crick provides streaming algorithm implementations for approximate computation- Specific algorithms available in the library (e.g., quantile sketches, cardinality estimation, frequency counting)
- Performance characteristics and accuracy guarantees of the approximate algorithms
- Whether the library is actively maintained or in maintenance-only mode despite aging status
What it is and what it does
Crick is a library of approximate and streaming algorithms designed for high-performance computation on data streams. It allows you to compute statistics and aggregations on large datasets without loading all data into memory at once, using techniques that trade exact answers for speed and memory efficiency.
The library is distributed as pre-compiled wheels for Python 3.10+ across Windows, macOS, and Linux platforms. It has no runtime dependencies, making installation straightforward. The project originated in 2016 and received its last update in December 2024, placing it in aging maintenance—suitable for stable use cases but not actively developed.
Use it for
- Computing approximate quantiles or percentiles on streaming data without storing all values
- Estimating cardinality (distinct element count) in large datasets with bounded memory
- Aggregating statistics over time-series or event streams in real-time systems
- Reducing memory overhead in data pipelines that process high-volume continuous data
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need approximate or streaming algorithms for memory-constrained or real-time scenarios.
The library is stable, has no vulnerabilities, and covers a specific niche well. However, verify that the specific algorithms you need are implemented, and be aware that active development has slowed—suitable for production use of existing features but not for packages expecting ongoing feature additions.
Install
crick on PyPI
Before you install
Medium install friction due to compiled wheels; available for current Python versions (3.10+) across major platforms. Repository is archived but maintained, with last commit in September 2025. Aging maintenance status suggests limited active development.
Requires Python 3.10 or later.
License in practice
BSD-3-Clause is permissive; you may use, modify, and distribute crick freely in commercial and private projects provided you retain the license notice.
Quickstart
pip install crick
import crick
# Crick provides streaming algorithm implementations for approximate computationVerify before relying
- Specific algorithms available in the library (e.g., quantile sketches, cardinality estimation, frequency counting)
- Performance characteristics and accuracy guarantees of the approximate algorithms
- Whether the library is actively maintained or in maintenance-only mode despite aging status
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Aging 599 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 330,780 / month, #7,530 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: crick-0.0.8-cp310-cp310-macosx_11_0_arm64.whl; crick-0.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; crick-0.0.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl; crick-0.0.8-cp310-cp310-musllinux_1_2_i686.whl; crick-0.0.8-cp310-cp310-musllinux_1_2_x86_64.whl; crick-0.0.8-cp310-cp310-win32.whl; crick-0.0.8-cp310-cp310-win_amd64.whl; crick-0.0.8-cp311-cp311-macosx_11_0_arm64.whl; crick-0.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; crick-0.0.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl; crick-0.0.8-cp311-cp311-musllinux_1_2_i686.whl; crick-0.0.8-cp311-cp311-musllinux_1_2_x86_64.whl; crick-0.0.8-cp311-cp311-win32.whl; crick-0.0.8-cp311-cp311-win_amd64.whl; crick-0.0.8-cp312-cp312-macosx_11_0_arm64.whl; crick-0.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; crick-0.0.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl; crick-0.0.8-cp312-cp312-musllinux_1_2_i686.whl; crick-0.0.8-cp312-cp312-musllinux_1_2_x86_64.whl; crick-0.0.8-cp312-cp312-win32.whl
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