The data-management project aims to provide a centralized and automated data management solution, simplifying data storage, access, and processing while ensuring data quality and integrity.

The sxpipe-data project is designed to streamline data processing and analysis, providing automated solutions for data cleaning, transformation, and enrichment. It aims to improve data quality, facilitate data management, and provide actionable insights for decision-making.

The udx project is a data analysis and visualization tool designed to simplify the process of extracting insights from complex datasets. It offers features such as automated report generation, customizable data visualizations, and easy-to-use data analysis tools, making it an ideal solution for businesses and organizations looking to make data-driven decisions.

Matecho is an open-source tool for processing fisheries acoustics data, developed under Matlab and working under Windows only. It supports various formats, such as the international standard format for the exchange of fisheries acoustics raw and edited data. The procedure allows for the semiautomatic cleaning of echogram data, automatic data filters, echo-integration processing, and sound scattered layers and shoals extraction with the calculation of their characteristics.

The massXpert project is a set of packages designed for the analysis and processing of mass spectrometry data. It aims to automate and optimize data processing, providing researchers and scientists with a more efficient and accurate way to analyze mass spectrometry data.

This project provides a chemical data processing software that automates analysis and monitoring of chemical processing systems. It helps to increase efficiency and accuracy in chemical data management.

Open-Information-Extraction is a project that uses Natural Language Processing (NLP) techniques to extract structured information from unstructured text. It helps improve data analysis by providing cleaner data and automates data entry processes, saving time and reducing errors.

This project provides helpers (written in zsh) for fast and efficient real-time data (RT) farming, enabling users to optimize data collection, automate processing tasks, and facilitate data analysis.

This software is designed for the calibration and processing of CTD data, commonly used in oceanography for measuring conductivity, temperature, and depth. It provides automated data analysis, quality control, and ensures accurate measurements for oceanographic research.

Platine-Batch is a project providing batch processing services for Coleman, aimed at automating and optimizing data processing tasks, and allowing for scheduling and monitoring of batch jobs.