inmap - 大数据地理可视化

  •        63

Map visualization

https://github.com/TalkingData/inmap#readme
https://github.com/TalkingData/inmap

Dependencies:

babel-polyfill : ^6.26.0
deepmerge : ^1.5.2
http-server : ^0.11.1
opn : ^5.3.0

Tags
Implementation
License
Platform

   




Related Projects

ECharts - A Declarative Framework for Rapid Construction of Web-based Visualization

  •    Javascript

ECharts is a powerful charting and visualization library offering an easy way of adding intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library. ECharts-GL is an extension pack of ECharts, which provides 3D plots, globe visualization and WebGL acceleration.

holoviews - Stop plotting your data - annotate your data and let it visualize itself.

  •    Python

Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting.

ngx-graph - Graph visualization library for angular

  •    TypeScript

This library is focused on handling graph data (anything with nodes and edges) rather than chart data. Currently the only visualization uses the Dagre layout, which is specialized for directed graphs. The plan is to implement multiple visualisations for graph data within this same library. Eventually, ngx-charts-force-directed-graph may be imported into this library as another option to visualize your graph data. ngx-graph is a Swimlane open-source project; we believe in giving back to the open-source community by sharing some of the projects we build for our application. Swimlane is an automated cyber security operations and incident response platform that enables cyber security teams to leverage threat intelligence, speed up incident response and automate security operations.

leaflet-dvf - Leaflet Data Visualization Framework

  •    Javascript

The Leaflet Data Visualization Framework (DVF) is an extension to the Leaflet JavaScript mapping library. The primary goal of the framework is to simplify data visualization and thematic mapping using Leaflet - making it easier to turn raw data into compelling maps.

awesome-dataviz - :chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources

  •    

A curated list of awesome data visualizations frameworks, libraries and software. Inspired by awesome-python. Tools that are not tied to a particular platform or language.


vaex - Lazy Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second

  •    Python

Vaex is a python library for Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It can calculate statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid up to a billion (109) objects/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).

D3 - A JavaScript visualization library for HTML and SVG

  •    Javascript

D3 is a small, free JavaScript library for manipulating HTML documents based on data. D3 can help you quickly visualize your data as HTML or SVG, handle interactivity, and incorporate smooth transitions and staged animations into your pages. You can use D3 as a visualization framework (like Protovis), or you can use it to build dynamic pages (like jQuery).

pprof - pprof is a tool for visualization and analysis of profiling data

  •    Go

pprof is a tool for visualization and analysis of profiling data.pprof reads a collection of profiling samples in profile.proto format and generates reports to visualize and help analyze the data. It can generate both text and graphical reports (through the use of the dot visualization package).

c2 - Declarative data visualization in Clojure(Script).

  •    Javascript

C2 is a D3-inspired data visualization library for Clojure and ClojureScript. As with D3, the core idea is to build declarative mappings from your data to HTML or SVG markup. This lets you leverage CSS and the existing web ecosystem to construct bespoke data visualizations. C2 encourages a "data-driven" approach to application design. Compose pure functions to map your data to native Clojure vectors and maps that represent the DOM, and then let the library handle rendering into actual elements (on the clientside) or a string of markup (on the serverside).

giojs - 🌏 A Declarative 3D Globe Data Visualization Library built with Three.js

  •    Javascript

Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application.

wind-js - An demo animation of wind on a Canvas layer in the JSAPI

  •    Javascript

This project is an experiment in client-side data processing and visualization. Most of the code in this project is taken from https://github.com/cambecc/earth and has been re-purposed to support easier application to a variety of mapping APIs and Frameworks. The code for this project uses nothing but an HTML5 Canvas element and pure Javascript. The data come from the Global Forecast System which produces a large variety of datasets as continuous global gridded datasets (more info below). The data is passed into a JS class called Windy which takes the bounds of the map, the data, and the canvas element and then applies a Bilinear Interpolation to generate a smooth surface. Once the surface has been generated a function randomly places "particles" onto the canvas at random x/y points. Each particle is then "evolved", moving in a direction and at a velocity dictated by the interpolated surface.

gramm - Gramm is a complete data visualization toolbox for Matlab

  •    Matlab

Gramm is a powerful plotting toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab. Gramm is a data visualization toolbox for Matlab that allows to produce publication-quality plots from grouped data easily and flexibly. Matlab can be used for complex data analysis using a high-level interface: it supports mixed-type tabular data via tables, provides statistical functions that accept these tables as arguments, and allows users to adopt a split-apply-combine approach (Wickham 2011) with rowfun(). However, the standard plotting functionality in Matlab is mostly low-level, allowing to create axes in figure windows and draw geometric primitives (lines, points, patches) or simple statistical visualizations (histograms, boxplots) from numerical array data. Producing complex plots from grouped data thus requires iterating over the various groups in order to make successive statistical computations and low-level draw calls, all the while handling axis and color generation in order to visually separate data by groups. The corresponding code is often long, not easily reusable, and makes exploring alternative plot designs tedious.

promviz - Visualize the traffic of your clusters in realtime from Prometheus data

  •    Go

Promviz is an application that helps you visualize the traffic of your cluster from Prometheus data. Promviz: retrieves data from Prometheus servers, aggregates them and provides an API to get the graph data.

party-mode - An experimental music visualizer using d3.js and the web audio api.

  •    Javascript

Using the web audio api, I can get an array of numbers which corresponds to the waveform of the sound an html5 audio element is producing. There's a good tutorial on how to do this. Then, using requestAnimationFrame (with a little frame limiting for performance reasons) I'm updating that array as the music changes. I then normalize the data a bit (or transform it slightly depending on the visualization) and redraw the screen based on the updated array. I'm using d3.js to draw and redraw SVG based on this normalized data. Each visualization uses the data a bit differently -- it was mostly trial and error to get some stuff I liked looking at. Since I'm using D3 -- which is just drawing SVG -- I was able to style everything in CSS (no images are used at all, including icons). There are a handful of differently colored themes for each visualization, and I do some rudimentary CSS namespacing by updating a class applied to the html element. eg. <html class='theme_1'>. This lets me override or substitute CSS rules pretty trivially. I can add some additional variation to each theme by messing with pseudo selectors. For example, I can use :nth-of-type to hide every nth SVG rectangle or making every odd child have a different stroke-dasharray, etc.

data-science-with-ruby - Practical Data Science with Ruby based tools.

  •    Ruby

Data Science is a new "sexy" buzzword without specific meaning but often used to substitute Statistics, Scientific Computing, Text and Data Mining and Visualization, Machine Learning, Data Processing and Warehousing as well as Retrieval Algorithms of any kind. This curated list comprises awesome tutorials, libraries, information sources about various Data Science applications using the Ruby programming language.

data - A collection of public data sets

  •    HTML

A collection of public data sets for testing out visualization methods. These data sets are at various stages of preparation, some are just raw data, some are CSV files, and some are exposed as AMD modules. This collection is messy, but with some digging you may find hidden gems. This data set demonstrates a mix of quantitative, ordinal, and nominal columns. To analyze this data set using visualization, it would be useful to aggregate the data on the fly before visualization.

multidiff - Binary data diffing for multiple objects or streams of data

  •    Python

It's purpose is to make machine friendly data easier to understand by humans that are looking at it. Specifically multidiff helps in viewing the differences within a large set of objects by doing diffs between relevant objects and displaying them in a sensible manner. This kind of visualization is handy when looking for patterns and structure in proprietary protocols or weird file formats. The obvious use-cases are reverse engineering and binary data analysis. At the core of multidiff is the python difflib library and multidiff wraps it in data providing mechanisms and visualization code. The visualization is the most important part of the project and everything else is just utilities to make it easier to feed data for the visualizer. At this time the tool can do basic format parsing such as hex decoding, hexdumping, and handling data as utf8 strings, as well as read from files, stdin, and sockets. Any preprocessing such as cropping, indenting, decompression, etc. will have be done by the user before the objects are provided to multidiff.

Jupyter - Web-based notebook environment for interactive computing

  •    Python

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. It supports over 40 programming languages.





We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.