{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Pcodec compresses and decompresses numerical sequences using a specialized codec optimized for numerical data, exposing a simple Python API backed by Rust.","skillfed_tags":["compression","numerical-data","rust-binding"],"use_cases":["Compress large numpy arrays of floating-point or integer data for storage or transmission.","Reduce memory footprint of time-series or sensor data in data pipelines.","Archive numerical datasets with better compression than generic algorithms.","Embed numerical compression in scientific computing workflows that already use numpy.","Benchmark or compare specialized numerical codecs against standard compression libraries."],"what_it_does":"Pcodec is a Python binding to a Rust-based codec designed specifically for compressing numerical sequences. It takes numpy arrays, applies a specialized compression algorithm tuned for numerical data patterns, and produces a byte string that can be decompressed back to the original array. The package exposes a minimal API: `simple_compress()` and `simple_decompress()` functions that handle the core workflow, plus configuration options via `ChunkConfig`.\n\nThe package depends only on numpy and is distributed as precompiled wheels for modern Python versions (3.10\u20133.12) across common platforms. Maintenance is active, with recent releases and repository commits. However, the license status is undeclared in the package metadata, which is a significant gap for adoption in commercial or legally sensitive contexts.","worth_installing":"Yes, with conditions. Install if you need specialized compression for numerical sequences and can verify the license terms in the repository. The package is actively maintained, has no known vulnerabilities, and offers a clean API. However, the undeclared license is a blocker for any project with legal compliance requirements; resolve that first. Also confirm that Python 3.10\u20133.12 wheels cover your deployment targets."},"id":"pcodec","links":{"html":"https://skillfed.io/packages/pcodec","md":"https://skillfed.io/packages/pcodec.md","pypi":"https://pypi.org/project/pcodec/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-01","license_spdx":null,"license_treatment":"unclear","name":"pcodec","python_support":"unspecified","summary":"Good compression for numerical sequences"},"popularity":{"monthly_downloads":120385,"position":12027,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.3"}