Chartify - Python library that makes it easier for data scientists to create charts

  •        82

Chartify is a Python library that aims to make it as easy as possible for data scientists to create charts. Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

https://github.com/spotify/chartify

Tags
Implementation
License
Platform

   




Related Projects

Bokeh - Interactive Data Visualization in the browser, from Python

  •    Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.

XChart - Light weight Java library for plotting data

  •    Java

XChart is a light-weight and convenient library for plotting data designed to go from data to chart in the least amount of time possible and to take the guess-work out of customizing the chart style.

chart-fx - A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points

  •    Java

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.

Openchart2 - Simple Plotting for Java

  •    Java

Openchart2 is based on the JOpenChart library. It provides a simple interface for Java programmers to create two-dimensional charts and plots. This library features an assortment of graph styles, including advanced scatter plots, bar graphs, pie charts, Radar charts, Dot plots. All chart types support dynamic zooming. Simple arrays or full database sources can provide data to the plotting routines.

Matplotlib - Python 2D plotting library

  •    Python

Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell (à la MATLAB or Mathematica), web application servers, and various graphical user interface toolkits.


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.

react-vis - Data-Visualization oriented components

  •    Javascript

A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.Install react-vis via npm.

ApexCharts.js - A modern JavaScript charting library to build interactive charts and visualizations with simple API

  •    Javascript

ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is flexible and responsive - making your charts work on desktops, tablets as well as mobiles. It is interactive Zoom, Pan, Scroll through data, toggle datasets visibility in multiple series. The dynamic nature of ApexCharts allows you to load data on selections and create other charts based on those selections.

Orson Charts - A 3D chart library for Java applications (JavaFX, Swing or server-side)

  •    Java

Orson Charts is a 3D chart library for the Java(tm) platform that can generate a wide variety of 3D charts for use in client-side applications (JavaFX and Swing) and server-side applications (with export to PDF, SVG, PNG and JPEG).

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.

roughViz - Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

  •    Javascript

roughViz.js is a reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser, based on D3v5, roughjs, and handy. Use these charts where the communication goal is to show intent or generality, and not absolute precision. Or just because they're fun and look weird.

Chartist-js - Simple responsive charts

  •    Javascript

Chartist.js is a simple responsive charting library built with SVG. Its goal is to provide a simple, lightweight and unintrusive library to responsively craft charts on your website. It's important to understand that one of the main intentions of Chartist.js is to rely on standards rather than providing it's own solution to a problem which is already solved by those standards. We need to leverage the power of browsers today and say good bye to the idea of solving all problems ourselves.

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.

Kibana - Analytics and search dashboard for Elasticsearch

  •    Javascript

Kibana provides flexible analytics and visualization platform for Elasticsearch. It understands large volume of data and easily create bar charts, line and scatter plots, histograms, pie charts, and maps. It can provide real-time summary and charting of streaming data. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

reaviz - 📊 Data visualization library for React based on D3

  •    TypeScript

REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability. If you are looking for node-based graphs, checkout reaflow.

Apache ECharts - An Open Source JavaScript Visualization Library

  •    Typescript

Apache ECharts is an open-sourced JavaScript visualization tool, which can run fluently on PC and mobile devices. It is compatible with most modern Web Browsers. The basic chart types ECharts supports include line series, bar series, scatter series, pie charts, candle-stick series, boxplot series for statistics, map series, heatmap series, lines series for directional information, graph series for relationships, treemap series, sunburst series, parallel series for multi-dimensional data, funnel series, gauge series.

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.

bokeh-notebooks - Interactive Web Plotting with Bokeh in IPython notebook

  •    Jupyter

Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients. These Jupyter notebooks provide useful Bokeh examples and a tutorial to get started. You can visualize the rendered Jupyter notebooks on NBViewer or download the repository and execute jupyter notebook from your terminal.






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.