ISRO-Project-Heimdall

A stand-alone web-based application 👩‍💻 using Streamlit.io to identify and categorize X-ray bursts.

Visit our deployed webapp here

To setup locally🔧⚙️

Create a virtual environment, using:

virtualenv venv

To activate virtual environment:

source venv/bin/activate

Now, after activating the virtual environment we need to install dependencies used for our project:

pip install -r requirements.txt

To run app 🏃

streamlit run app.py

Demo

First screen has an upload option for uploading .lc files, which will be used to extract data using Astropy, and further will be processed to draw graphs.

Tadaa 🥳 We are done 🥁

Finally, we have plotted our graphs and tables, with information about them as shown below:

Why use our app?

Our web app has some beautiful dynamic graphs that are interactive, means draggable and scrollable. It also display coordinates on hovering, making the analysis very easy.

Made with ❤️ by Luminaires