D

data-visualization

Provides biomedical plotting archetypes fully interoperable with the matplotlib API.

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

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

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

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 ...

This repo is a mix of several data science tools. There is a mix of web-scraping of data that is then cleaned, and used to analyze the property market in malta, using prediction models, visualisations and statistical analysis.

There is also visualisations for chess data from the 1980's till 2021. Moreover, there is twitter data, which is then stored in the neo4J nosql dbms.

No data is presented in the git, only the results. Code with the data can be found at: https://drive.google.com/file/d/15EQnRtsngDsFDD_A7g4N1fwCuXI0f_Xi/view?usp=sharing

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/ .