Matplotlib Jupyter Integration
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Updated
Oct 9, 2025 - TypeScript
Matplotlib Jupyter Integration
NodeJS plotting library for JavaScript and TypeScript. On top of plotly.js. Inspired by matplotlib.
▱ Codeplot is your infinity canvas for data exploration.
Academics made Affordable.
A flexible library to map numerical values to colors
Visual layout editor for matplotlib and any plotting library built upon matplotlib like seaborn.
🇮🇩 Live data, interactive charts & maps of Indonesia provincial COVID-19 daily cases and vaccination. Live version: https://erlange.github.io/INACOVID/
🔍📊 A smart Police Analytics & GIS Dashboard that blends data-driven insights, 🤖 ML-based crime analysis, and 🗺️ interactive maps to track crime trends, 👮♂️ measure police performance, and support transparent, community-focused law enforcement 🤝.
Labs for Numerical Methods course at Ivan Franko Lviv National University.
A Online Frontend-First Lightweight Python Client with support for numpy, pandas and matplotlib
Discord Bot to handle Italian covid data provided by Protezione civile. This Bot use Python and matplotlib to dynamically generate stackedbar and radar charts images of the data.
A Python console app and Vite + React web app that generate charts showing the jobs users pick and their demand from 2023 to 2033.
👓 Laboratory work for 5 semester of MAI on computer graphics
Insightlyfy is an intuitive web-based platform designed to transform raw datasets into insightful, visually appealing dashboards. Users can upload CSV files, and the system automatically processes and analyzes the data to generate interactive visualizations, making complex data easy to understand and actionable.
Data Visualization API provides you with simple infographics based on the uploaded file. Utilizes matplotlib and pandas under the hood, backend is built using FastAPI.
AI Unemployment Data Analyzer is an interactive web-based tool that uses Artificial Intelligence to analyze unemployment data. Users can upload a CSV file, and the application automatically generates: Key insights and summaries Visual charts and graphs AI-generated Python analysis code for deeper exploration
Project to measure the performance and health of batteries based on discharge curves.
This is a Machine Learning Project that predicts whether a patient has heart disease or not using Machine Learning Models
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