Based on our record, Plotly should be more popular than OpenFOAM. It has been mentiond 30 times since March 2021. 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.
In openfoam.org, there is not compiled binaries for Debian (any version). So one should install it using docker (I prefer to do not use it) or by compiling the code from the source. I consider compiling from source, but I do prefer binaries. Source: 12 months ago
Hello I am a mechanical engineering student in my last year. So I made the wisest decision to learn OpenFOAM. But there is the catch. I have no idea how to use Linux or how to emulate Linux on Windows 10. I found a lot of videos on Youtube how to download an start OpenFOAM but every one of them was using different methods each time so I got confused. Can anyone please help or direct me? Thank you for your answers... Source: over 1 year ago
As far as air flow simulation, I got slightly farther with Open Foam than I did in FreeCAD directly. Still, I got in way over my skill level and stopped before getting anything useful. Source: over 1 year ago
There are two versions of openfoam, one closed source (which is the one I linked to in my original comment, my apologies about that) and the open source version. But what you're describing makes it sound like fenics might be your best option. Source: over 1 year ago
I suggest you install per the instructions at openfoam.com or openfoam.org instead of using apt. Source: over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 13 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 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: over 1 year ago
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