Vvvv VS Plotly

Vvvv Reviews

Plotly Reviews

Vvvv mentions (9)

• IntelligentPad (1989) a component-based drag-and-drop software creator

  Never heard of it but this vaguely reminds me of labview (still widely used in factory infrastructure and R&D) another similar environment that 20 years ago I thought would become the new desktop/programming metaphor is vvvv[0] [0] https://vvvv.org/. - Source: Hacker News / about 1 year ago

• Do you know any 3d DAW?

  There's things like https://vvvv.org/ - if you'd use the 3D engine there you could probably build something like this:. Source: over 1 year ago

• Kanye West's Stem Player - An engineering disaster

  I'm pretty sure "node based" doesn't refer to node.js in this context. Many compositing software have a node based interface, that is, nodes with inputs and outputs in a graph (examples: Nuke, vvvv, Blender). Source: almost 2 years ago

• Is it worth to get into game development now or is it a waste of time?

  Vvvv I stumbled on a while back not going to lie I still have no idea what im even doing using this , but downloading user made projects is pretty cool though. Source: almost 2 years ago

• Astrofox – Turn Audio into Videos

  Vvvv not open source but has a free version: https://vvvv.org/. - Source: Hacker News / almost 2 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: about 1 year 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