Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap

📊React Native Chart Kit: Line Chart, Bezier Line Chart, Progress Ring, Bar chart, Pie chart, Contribution graph (heatmap)

A d3 heatmap for representing time series data similar to github's contribution chart

CLI that turns plain numbers into terminal charts. ascii, spark, bars, columns, heatmap, unicode, braille, svg.

:bar_chart: Display a heatmap for oft-edited files

:chart_with_upwards_trend:SeqPlots - An interactive tool for visualizing NGS signals and sequence motif densities along genomic features using average plots and heatmaps.

Your git contributions heatmap chart inside your favorite nvim dashboards.

📆 Flutter heatmap calendar inspired by github contribution chart. [traditional mode / calendar mode]

📈📊👑👑👑AAChartKit-Swift-Pro is a professional version of AAChartKit-Swift, it is an elegant and friendly chart framework for iOS, iPadOS, macOS. AAChartKit-Swift-Pro is a more powerful data visualization framework that supports more types beautiful chart like bellcurve, bullet, columnpyramid, cylinder, dependencywheel, heatmap, histogram, networkgraph, organization, packedbubble, pareto, sankey, series, solidgauge, streamgraph, sunburst, tilemap, timeline, treemap, variablepie, variwide, vector, venn, windbarb, wordcloud, xrange charts and so on.

A Heatmap Calendar based on Github's contributions chart

📈📊🎓🎓🎓AAChartKit-Pro is a professional version of AAChartKit, it is an elegant and friendly chart framework for iOS, iPadOS, macOS. AAChartKit-Pro is a more powerful data visualization framework that supports more types beautiful chart like bellcurve, bullet, columnpyramid, cylinder, dependencywheel, heatmap, histogram, networkgraph, organization, packedbubble, pareto, sankey, series, solidgauge, streamgraph, sunburst, tilemap, timeline, treemap, variablepie, variwide, vector, venn, windbarb, wordcloud, xrange charts and so on.

Shot Chart, Hexmap and Heatmap for NBA.com. FlightsReact.

Chart rendering for pi — bar, line, pie, scatter, radar, funnel, gauge, treemap, boxplot, heatmap, candlestick, sankey

A reusable chart for D3 (version 4) to create a spiral heatmap

iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.

iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.

Allows to define and display a chart as a collection of plots such as line, band, markers, heatmap. Supports visualization of uncertain values represented as quantiles.

TrailGuide is a tool that simplifies AWS CloudTrail monitoring by providing a clear, user-friendly dashboard. With visualizations like pie charts, bar charts, heatmaps, an events feed, and AI-integrated anomaly detection, users can easily track and analyze management events from their AWS accounts.

A heat map plugin for chart.js

A lightweight React component for rendering a horizontal heatmap. Perfect for timelines, activity charts, or health status indicators. Fully customizable colors, box size, and spacing.

💪📊 An easy-to-use and powerful heatmap chart package for Flutter!

Heatmap Chart Component NPM Module to React Native.

Interactive Flutter body chart with heatmap and part highlighting.

This project analyzes Electric Vehicle (EV) registration data using Python. It includes data cleaning, visualization, and trend analysis with tools like Pandas, Matplotlib, and Seaborn. Key insights include EV growth trends, range comparisons, and CAFV eligibility distribution, presented through charts like box plots, scatter plots, and heatmaps.

Data visualization with Python is a crucial technique for interpreting complex data sets. Using libraries like Matplotlib, Seaborn, and Plotly, you can create a wide range of visual representations, including bar charts, line graphs, heatmaps, and scatter plots.

🌋 Heatmap(Meko, Mekko) charts created in an optimized way, fully customizable for Android. Support only Jetpack Compose.

HTML5 ES6 canvas candlestick chart with probability heatmap overlay. Built to display stock and currency forecasts.

This is a react chart library for genarating "Stock Heatmap" with given market depth data. Stock Heatmap graph useful for day traders.

🦠 Python project for visualizing COVID-19 vaccination data by ZIP code. Includes data cleaning and plots like bar chart, pie chart, heatmap, scatter, and pair plot using Pandas, Matplotlib, and Seaborn. Guided by Baljinder Kaur.

A visualization dashboard tool, including time-series scalable line charts, scatter-plot matrix, heatmap, parallel coordinates.