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Framework of fast implementation data processing and operating pipelines

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Informatics, sourced from its original meaning: the sciences concerned with gathering, manipulating, storing, retrieving, and classifying recorded information.

It is designed to enable users to solve complex problems in science, engineering, and other domains efficiently and accurately. Its powerful capabilities are achieved through a combination of cutting-edge software engineering techniques and the elegance of Python’s functional programming paradigm. The strength of highly modular and extensible architecture allows users to quickly assemble and customize data processing pipelines to meet their specific needs. Whether it’s data cleaning, transformation, analysis, or visualization, informatics provides a rich set of tools and functions to facilitate these tasks.

Informatics is built to serve for science as well as engineer domains. It provides ready-made solutions for common tasks like feature engineering, model training, evaluation, deployment, and more. Refer the documentation for a crash course about its essential ideas.


Authors:

Chen Zhang

Version:

0.0.4

Created on:

Mar 12, 2024

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