A modular charting library built on D3
chart charting-library typescript chart-component plottable d3 plots flexibleAn open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3! React-D3-Library will compile your code into React components, and it also comes with a series of D3 template charts converted to React components for developers who are unfamiliar with D3. Not only do we build fully functional React components, but they utilize the power of D3 to automate scaling ranges, normalizing data, and constructing legends.
d3 react data visualization library graphs charts plotsInstant live visualization of your Go application runtime statistics (GC, MemStats, etc.). Statsviz serves 2 HTTP handlers.
visualization monitoring plots runtime metrics live garbage-collector statsBokeh 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.
visualization javascript python plots jupyter visualisation data-visualisation bokeh plotting notebooks interactive-plots numfocus charting-library chartsChartify 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.
visualization data-science plots bokeh plotting charts charting-libraryPlotSquared is a land and world management plugin for Minecraft. It includes several highly configurable world generators. You can create plots of land in existing worlds using plot clusters, or you can have a full world of plots. For the end user, PlotSquared is packed with a tonne of cool features. It allows you to merge plots, and build together with your friends. You can also change a lot of plot specific settings in the form of flags. Such as: weather, time, game modes, pvp status.
minecraft bukkit plots gradle spigot paper plot spigot-plugin bukkit-plugin bukkit-api spigot-api minecraft-plugin sponge-plugin paperspigot builders paper-api papermcAnyChart is a lightweight and robust JavaScript charting solution with great API and documentation. The chart types and unique features are numerous, and the library works easily with any development stack.
datavis data-visualization charting-library html5-charts charts line-charts bar-charts pie-charts dashboard multi-series-chart anychart anystock anygantt anymap javascript-charts ajax-charts plots javascript-plots ajax-plots svg html5 framework vmlAngularJS v1.x directives for AnyChart provide an easy way to use AnyChart JavaScript Charts with AngularJS Framework.You can download AngularJS plugin directly from the dist folder.
anychart anystock anygantt anymap charts javascript-charts ajax-charts plots line-charts bar-charts pie-charts javascript-plots ajax-plots svg html5 framework vml angular angularjsIntuitive and easy to use React plugin that allows you to create and work with AnyChart JavaScript Charts.Binaries are in the dist folder.
anychart anystock anygantt anymap charts javascript-charts ajax-charts plots line-charts bar-charts pie-charts javascript-plots ajax-plots react svg html5 framework vmlAn OpenGL interop library that can be used with ArrayFire or any other application using CUDA or OpenCL compute backend. The goal of Forge is to provide high performance OpenGL visualizations for C/C++ applications that use CUDA/OpenCL. Forge uses OpenGL >=3.3 forward compatible contexts, so please make sure you have capable hardware before trying it out. You can find the most recent and updated documentation here.
forge opengl visualization performance performance-visualization glsl plots chartsYou write the TikZ code in the editor and KtikZ automatically generates the image in a preview panel. The complete description of the usage is available in the application itself, under Help -> KtikZ Manual.
tikz latex figures graphics pgf plotsA JavaScript data visualization library for Keen. Include keen-dataviz.js and keen-dataviz.css within your page or project. Visualizations are powered by the C3.js and D3.js libraries, already included in our bundled js file.
keen-io keen-js dataviz visualization dataset web-analytics native-analytics dashboards charts reporting analytics d3 c3 charting-library stats statistics visualizations data-visualization chart charting svg plots graphs funnelsPlots made easy. You can have multiple curves or scatter plots in the same PlotView.
plots scatter-plotsAdvanced Unicode plotting library designed for use in Julia's REPL. To install UnicodePlots, start up Julia and type the following code-snipped into the REPL. It makes use of the native Julia package manger.
plotting julia repl terminal plots unicodeThis repository contains graphs created in Stata to explore impact evaluation data sets and display results. The Library plots and codes can be viewed here. The folders in the repository contain the .dta and .do files that can be used to replicate the images in the Library. If you have suggestions of plots you would like to see in this library and are not currently here, you can open an issue describing your suggestion.
stata graph plots impact-evaluationsGCPy is a Python-based toolkit containing useful functions for working specifically with the GEOS-Chem model of atmospheric chemistry and composition. GCPy aims to build on the well-established scientific Python technical stack, leveraging tools like cartopy and xarray to simplify the task of working with model output and performing atmospheric chemistry analyses.
benchmarking plots numpy xarray scientific-computing cloud-computing python-toolkit atmospheric-modelling cartopy geos-chem visualization-tools atmospheric-chemistry plotting-in-pythonThis repository holds a script that allows an analysis of the Semantic KITTI Dataset [1,2]. The main focus is on distance and label analysis. For all statistics a csv file and a plot are generated. These instructions will get you a copy of the project up and running on your local machine.
statistics plots analysis lidar semantic-segmentation kitti-dataset
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