Gmsh VS Plotly

Gmsh Reviews

Plotly Reviews

Gmsh mentions (4)

• Having problem with setting up project with external lib

  I'm not sure if this is correct place, since my issue is most likely cmake related rather than c++, but I would like to ask anyway. So I'm trying to set up a project, which is new to me (this was usually done by someone else already). I would like to add the 3rd party library gmsh to the setup, but my CMake seems to incorrectly (or not all) link the lib. Source: 5 months ago

• Help With Self Study - Computational Physics

  Depending on what you are planning on trying to do. Goma and OpenFOAMare both free to download and use. You can create a mesh with gmsh for free. Source: over 1 year ago

• Looking to build a PC for Computational fluid dynamics - Budget around $2000 CAD

  Mostly for work. I need to run some CFD models (OpenFOAM -https://openfoam.org/). But I also need to do pre-processing to create the models. I will use YADE (https://www.yade-dem.org/) and GMSH (http://gmsh.info/) for this. I think that for OpenFOAM it is more important to have good processors but for YADE and GMSH I think that I will also need a decent GPU. Source: over 2 years ago

• Triangular meshing based on color gradient

  I tried Gmsh with the script from Prof Geuzaine, and it work pretty well. Http://gmsh.info/ Script: Http://geuz.org/photos/cg/cg.geo. Source: about 3 years ago

Plotly mentions (29)

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago

• Junior Developer asked to make Saaas in first month.

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Wait, but I thought they were the same thing?

  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

• Storing your data in a Plotly Dash data dashboard

  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