Sozi Reviews

1. Ben Frawley

   | None at None | almost 3 years ago
   Its free and it works well.

   OK it doesn't have all the bells and whistles of Prezi, BUT what you do get, works well and costs you zero. You are able to do a very decent presentation with it. I STRONGLY recommenced you search Youtube to watch 20 minutes of tutorials just to save you two hours of working it out for yourself. The main difference is you design in a separate program like Inkscape before importing your main vector image into Sozi. Thank you Sozi team I like it !!

   👍 Pros:    Free

   👎 Cons:    Uses external software for design. (could be viewed as a plus too)

Plotly Reviews

Sozi mentions (1)

• Ask HN: Devs, which software do you use for your Presentations?

  I think that you could check Sozi: https://sozi.baierouge.fr. - Source: Hacker News / almost 2 years ago

Plotly mentions (30)

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 22 days ago

• 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: 7 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: about 1 year 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: over 1 year ago