Based on our record, Plotly seems to be a lot more popular than Kst. While we know about 29 links to Plotly, we've tracked only 2 mentions of Kst. 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.
I think something like KST Plot might be perfect, but I have no idea how to install it on Manjaro. There's only a broken AUR package, and I'm not keen on trying to compile the whole thing on my own. Idk. Maybe I could get the Windows version to run in WINE.. yech.. Source: over 1 year ago
How well does it handle streaming input data and real-time plots? I used kst that way to tune my CPU fan control a couple years ago, and it worked reasonably well and resource usage was light enough to not perturb the system under test too much. dnf install LabPlot wants to pull in half a gig of deps, which is kind of worrying. Although the flatpak is far smaller, so it's probably just a consequence of touching... Source: about 2 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
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.
RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.
Chart.js - Easy, object oriented client side graphs for designers and developers.
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application