The 'pca-plot' package is a way to check seq data quality. It visualises the data conditionally in a 2D or 3D plot (dependent on the number of PCs selected), where each point represents a sample. The distance between the points is a measure of the similar
RNA-Seq Plots is a collection of React.js components designed to visualise RNA sequencing data. The package includes a Volcano Plot and a Principal Component Analysis (PCA) plot, both of which are powered by Highcharts.
AWS SDK for JavaScript Acm Pca Client for Node.js, Browser and React Native
A JavaScript library for exploratory data visualization.
Principal component analysis
Box Plot Component for Victory
The mark plot in antv/g2
Principal Components Analysis in javascript
A plotly.js react component from Plotly
Persistent Context Architecture CLI for AI-native development
Chart.js module for charting boxplots and violin charts
A Mosaic-powered plotting framework based on Observable Plot.
AWS SDK for JavaScript Pca Connector Scep Client for Node.js, Browser and React Native
2D webgl plots
AWS SDK for JavaScript Pca Connector Ad Client for Node.js, Browser and React Native
MemberJunction: Reusable Angular clustering visualization components with scatter plot, config panel, and clustering service
A simple 2d function plotter powered by d3
NodeJS frontend-less plotting lib using plotly.js inspired by matplotlib
Scatter2d plot built with regl
Plotting.
Interactive, novel data visualization
## About ##
A scatter plot.
High-performance 2D plotting library based on native WebGL