Building interactive research reports with Python, Streamlit, and GitHub Pages

python dev.to

A chart can show that a research phrase is becoming more common. The next questions are harder: which institutions are working on it, and which papers should I read? I built paper-trends to connect those steps. It uses publication metadata from OpenAlex to generate interactive reports for academic conferences. You can try the CVPR report without signing in. Click a phrase such as “diffusion models,” then click a related institution to keep exploring. The source code is on GitHub, under the MI

Read Full Tutorial open_in_new
arrow_back Back to Tutorials