bins20

Bins20 is an open-source software library designed to perform data binning and histogram generation efficiently. It focuses on scalable handling of large datasets and provides a range of binning strategies to support statistical analysis, data visualization, and quality control workflows.

The library supports equal-width and equal-frequency binning, as well as custom bin edges and logarithmic scales. It can operate on streaming data and handle missing values gracefully. Bins20 emphasizes performance through a fast core implemented in a low-level language, with high-level bindings to common data science languages.

Architecture: The core algorithms are written in C++ for speed, with language bindings for Python and JavaScript that expose a consistent API. A lightweight command-line interface enables quick histogram generation in batch or integration into data processing pipelines. The project aims to maintain a small, dependency-light footprint.

History: Bins20 was initiated in 2020 by an international contributor collective focused on data analysis tools. The first public release appeared in 2021, followed by regular updates adding new binning strategies, streaming capabilities, and improved visualization support. The project is published under a permissive license and hosts its code on a collaborative repository.

Usage: In Python, users can import bins20 and call histogram with data and a desired number of bins or edges. The library's API is designed to be compatible with common data structures such as NumPy arrays and pandas Series, and outputs ready-to-plot histogram data or bin summaries for reporting.