A cross-platform Python app built with PyQt6 to generate synthetic datasets
Zylthra is a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool enables users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface.
Generate datasets with custom columns using DataLLM’s AI.
Adjust temperature, models, and iterations for precision.
Save and load dataset configurations effortlessly.
Runs on Windows, macOS, and Linux with a modern UI.
Customize filenames, timestamps, and save locations.
Access detailed documentation within the app.
git clone https://github.com/VoxDroid/Zylthra.git
cd Zylthra
pip install -r requirements.txt
python zylthra.py
Note: An internet connection and a valid DataLLM API key are required.
Zylthra features three tabs: Generator, Configurations, and Help. The Generator tab creates datasets, Configurations manages saved setups, and Help provides a full manual.
voxgen
directory is created for configs and outputs.Access a comprehensive guide within the app.
Generator Tab
Configurations Tab
Check the Releases section for updates and notes. Zylthra is currently distributed as Python source code.
Support this project via:
Zylthra is open-source! To contribute:
Licensed under the MIT License.
Install these Python packages:
Run pip install -r requirements.txt
.