NanoDB: Research Activity Data Management System

NanoDB is a Python-based application developed to optimize the management of experimental data in research settings. Designed with flexibility in mind, it supports the collection, organization, and export of laboratory metadata across diverse research line types. Built on the FAIR principles, by ensuring clean and well-structured datasets, NanoDB also lays the foundation for integrating machine learning, enabling more advanced data analysis and modeling in future research stages.

v1.0.0 - Initial Release This is the first release version of NanoDB - Research Activity Data Management System! This version includes essential features to manage research data efficiently.

Core Features: Data Management: Capture and edit dynamic data directly in an Excel-compatible format. PDF Generation: Automatically generate research reports with detailed synthesis information and images. Image Handling: Support for resizing, compressing, and including images in ZIP files and PDF reports. Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added.

Getting Started: Download the repository. Install dependencies from requirements.txt. Run the main application to open the app.