SimScale is the world’s first cloud-native SaaS engineering simulation platform, giving engineers and designers immediate access to digital prototyping early in the design stage, throughout the entire R&D cycle, and across the entire enterprise. By providing instant access to a single fluid, thermal, and structural simulation tool built on the latest cloud computing technology, SimScale has moved high-fidelity physics simulation technology from a complex and cost-prohibitive desktop application to a user-friendly web application, accessible to any designer and engineer in the world.
Based on our record, Plotly seems to be a lot more popular than SimScale. While we know about 29 links to Plotly, we've tracked only 1 mention of SimScale. 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.
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year 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: about 1 year 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
After you brush up the theory, you can take it to the next level by trying out some sample tutorials using the existing tools or any of the free tools available. (I personally prefer cloud native tools like SimScale, Onshape(for CAD design) to avoid any specific hardware requirements). Source: 11 months ago
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.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Chart.js - Easy, object oriented client side graphs for designers and developers.
Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Autodesk Fusion 360 - Integrated CAD, CAM, and CAE featuring collaborative editing and cloud-based computation.