D

data-visualization

Explainable suburb similarity explorer built with Python, Streamlit, vector search and transparent model reasoning.

Provides biomedical plotting archetypes fully interoperable with the matplotlib API.

memory.fm is a web application for exploring music listening history from Last.fm and Spotify.

A drag-and-drop graph builder built with PyQtGraph for creating interactive visualizations from CSV data. Features formula-based column creation, multiple plot types, and real-time performance. Now, also has a thermal and electrical conductivity calculator with database. This repository has been made entirely by vibe-coding in Cursor. Project avatar is from https://www.flaticon.com/free-icon/bar-graph_404621

Predicts the risk level of a user session using behavioral signals

React Native mobile platform for real-time BLE sensor monitoring of instrumented athletic mouthguards — impact detection, concussion risk assessment, and multi-athlete dashboards

[2025] European news intelligence platform with dual-layer AI sentiment analysis. Tracks media narrative shifts across 12 sources using VADER baseline + Gemini nuance, vector embeddings for semantic search, and interactive relationship mapping with real-time trend visualization.

Static recipe website built with Hugo, featuring home-cooked dishes, modern visuals, illustrated nutrition, and automated content generation from Instagram.

This is a primitive python script designed to enable MARS beamline users to try initial analysis onto tomography volume from X-ray µCT. It relies on manuel segmentation of grey shade value related to the X-ray absorption. The project aims to prototype analysis tools thought and developed in collaboration with the users during the beamtime. The seed project is a set of function managing the volume opening, save/load of work, manual segmentation. It hope that will grow into a great tree, with new branch like, 3D rendering visualisation, data analysis visualisation, labelling, and much more ...

The impossible often has a kind of integrity to it which the merely improbable lacks.

Unsupervised Machine learning framework for well-well depth correlation using logs. Functionalities for converting well-log standard .las file format to other data formats.

Some code to analyze open data from Buenos Aires city related to COVID-19 pandemic.

Some code to analyse international data from COVID-19 Data Repository by Johns Hopkins CSSE and Argentina outbreak status.

A wrapper to Facets https://pair-code.github.io/facets/ .