numpylog

numpylog is a Python library designed to facilitate the logging of numerical data generated during scientific computations, particularly those involving NumPy arrays. It aims to provide a structured and efficient way to record and retrieve information that might otherwise be lost or difficult to manage.

The core functionality of numpylog revolves around its ability to serialize NumPy arrays into a persistent storage format, such as HDF5 files. This allows for the saving of large datasets without significant performance degradation. The library also includes mechanisms for logging metadata associated with these numerical arrays, such as the parameters used in a simulation, timestamps, and descriptive text.

numpylog is particularly useful in research and development settings where reproducibility is crucial. By logging the exact numerical inputs and outputs of experiments, researchers can revisit their work, debug issues, and share their findings with greater confidence. The library often integrates with existing logging frameworks in Python, allowing for a seamless addition to established workflows. It provides simple APIs for both logging data and accessing it later for analysis or visualization. The underlying storage solutions are chosen to be efficient for both reading and writing, making it suitable for both real-time data acquisition and post-processing.