1218 Open source projects that are alternatives of or similar to Iheatmapr

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

Advanced Machine Learning and Visualization

A real-time visualisation of the CO2 emissions of electricity consumption

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Materials for GWU DNSC 6279 and DNSC 6290.

rOpenSci Packages: Development, Maintenance, and Peer Review

High-performance Toolkit for WebGL-based Data Visualization

A particle simulation engine based on a port of d3-force

state driven all in one data process for data visualization

R wrapper for fastText

Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

📊 A D3-based reusable chart library

Graphical tool for data manipulation written in C++/Qt

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

📊 Elastic Charts library

Visualizing JavaScript source code as navigable 3D cities

Tools to work with variant call format files

Data Visualization Charting Library

R interface to the keras library

A node app for parsing facebook data and outputting pretty graphs

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JavaScript for R CRC Book

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

文章列表

📈 Grammar of graphics for interactive visualisations

A simple HTTP server in R

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

基于情感字典和机器学习的股市舆情情感分类可视化Web

Monitoring system for data teams. Computing health checks on data, visualizing and alerting on them.

R package for Customer Behavior Analysis

Basic site theme styled with minimal tachyons, syntax highlighting, and blog series configuration. 📦

A Swiss version of the famous visualization «Land doesn't vote, people do.»

Automated Data Science and Machine Learning library to optimize workflow.

An interactive heatmap visualization built using D3.js

Generate an interactive dot plot from mummer or minimap alignments

Pin, Discover and Share Resources

Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.

The interactive graphing library for Python (includes Plotly Express) ✨

A statistical framework that serves as a common interface to a large range of models

An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights.

A version of eval for R that returns more information about what happened

A data REBL built for the web

Data Analysis with Bootstrapped ESTimation

A library for creating complex UpSet plots with ggplot2 geoms

Infrastructure for calling Google APIs from R, including auth

Wrap R vectors in markdown syntax

🐯 visx | visualization components

High performance raster conversion for modern spatial data 🚀🌏▦

Composable data visualization library for JavaScript

VIS components for a security system, to monitor the state and confirm the system's health running.

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…

Tools for developing linear regression models

cowsay w/ more animals, in R

Repository which contains various scripts and work with various basketball statistics

Visualizer for pandas data structures

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

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Open source Business Intelligence tool 🎉

Java script webapp that analyzes your WhatsApp Chat history locally on your machine.

A regular <table> library, for async and virtual data models.