Product Overview
Datalab is a general-purpose interactive data analysis and visualization software that offers scientific computation, engineering data processing, and statistical analysis services for equipment development and testing. It features real-time reading of massive data sources, data preprocessing, visualization analysis computation, expression calculation, scripting programming environment, and third-party algorithm expansion. It is built with dozens of engineering algorithms including preprocessing, fitting, signal processing, statistics, data mining, and matrix computation. It supports fast offline analysis and display of ultra-large datasets (tens of GB) and can be integrated with data collection software and digital platforms for real-time analysis online, compatible with domestic operating systems.
Application Fields
DataLab is widely used in the field of complex equipment test data analysis in industries such as aerospace, aviation, aero-engine, and shipping, involving the analysis and processing of numerous professional test data, including aerodynamics, strength, structure, avionics, electromechanical, and optical characteristics.
Core Advantages
Domestic Substitute
Resolve the bottleneck issue with general data analysis software
DIY Algorithm
Enhance algorithm protection with Python scripts to safeguard intellectual property rights and meet confidentiality requirements.
Bulk Automation
Users can achieve batching and automation of work, reduce repetitive labor, and enhance efficiency through scripting (Python) for customizable data loading and calculation.
Modular architectural system
Quickly expand in data import, display, and analysis calculations, customizing new features for users.
Six
Efficient utilization of historical data
Feature specifications
Usability
Simple and user-friendly navigation, low learning curve
Improve efficiencyFast display of massive data, curve display with no latency
Convenience
Tightly integrated with the experimental data management platform, supporting online loading and display of experimental data
Scalability
Extensible with powerful Python scripting, enabling limitless expansion of algorithms.
Real-time control
Easily allow managers to keep tabs on the progress of various tests' validation at all times.































