A Streamlit application for analyzing and visualizing high-throughput experimentation data.
You can install the package directly from GitHub:
pip install git+https://github.com/jschneidewind/hte-streamlit.git
Or clone the repository and install in development mode:
git clone https://github.com/jschneidewind/hte-streamlit.git
cd hte-streamlit
pip install -e .
To run the Streamlit app:
streamlit run src/hte_streamlit/streamlit_app/Home.py
- Data upload and processing of experimental results
- Interactive visualization of reaction data
- Analysis of reaction rates and kinetics
- Batch processing capabilities
- Export of processed data
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.