PyChart integrates a Python scripting for data generation and the Plotly react-chart-editor for interactive chart design into a Qt based application. It strives to ease the friction between data and display by leveraging Python scripting for data creation and manipulation and a user interface for the often difficult process of chart design and layout.
Download the Release v0.1.0 for macOS
- Fast script execution and interruption
- Export charts as PNG files or to the clipboard
- Run chart scripts from the command-line
After creating and saving a PyChart file, the chart can be created and exported from the command-line:
./PyChart.app/Contents/MacOS/PyChart run /path/to/plot.cht /path/to/image.png --width 640 --height 480
A virtual environment can be activated by executing the activate_this.py file in your script:
activate_this_file = "/path/to/virtualenv/bin/activate_this.py"
exec(open(activate_this_file).read(), dict(__file__=activate_this_file))