QLab: Advanced Time-Series Analysis Software

A comprehensive, state-of-the-art PyQt6 application designed to load, process, analyze, and beautifully visualize time-series data from CSV files.

Application Gallery

Here's an overview of the beautiful and feature-rich PyQt6 interface:

Main Interface

Data Visualization

Analysis & Controls

Advanced Filtering

Features at a Glance

• Rich Visualization: Interactive plots and intuitive data exploration workflows.
• AI & Forecasting: Integrated AI modules for predictive analytics and future trend forecasting.
• Anomaly Detection: Automatically pinpoint outliers and unusual patterns in your data.
• Advanced Preprocessing & Filters: Clean, smooth, and transform data using robust filtering algorithms.
• Extensive Analysis Methods: Access a wide array of built-in time-series methods and statistical tools.

Installation

To get started, install the required dependencies using pip:

pip install -r requirements.txt

Run the Application

Launch the main graphical interface with:

python -m src

Sample Data (data.csv)

The project includes a sample data.csv containing numerical values that model a simple quadratic relationship ($y = x^2$):

X	Y
1	1
2	4
3	9
4	16
5	25
6	36
7	49
8	64
9	81
10	100