GnuPlot
Matplotlib
GeoGebra CAS Calculator
GeoGebra
Dr. Geo
Giac/Xcas
Graph
MATLAB
Bokeh
Plotly
RAWGraphs
D3.js
NVD3
CanvasJS
ZingChart
ChartBlocks
GnuPlotBokeh might be a bit more popular than GnuPlot. We know about 5 links to it since March 2021 and only 5 links to GnuPlot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: over 3 years ago
Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago
Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago
There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago
Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago
Visualization: https://docs.bokeh.org/en/latest/. Source: over 4 years ago
Now that we can get task timing information in a consistent manner, letโs do some plotting. For this, Iโm going to use Bokeh which generates nice interactive plots. - Source: dev.to / over 4 years ago
Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 4 years ago
It's not in the least bit "underrated" and it's documentation is extensive. Source: about 5 years ago
Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: over 5 years ago
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Plotly - Low-Code Data Apps
GeoGebra CAS Calculator - Free online algebra calculator from GeoGebra: solve equations, expand and factor expressions, find derivatives and integrals
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
