Quarto Reviews

Plotly Reviews

Quarto mentions (22)

• 37signals announces next ONCE product: Workbooks, to release for free

  "But it's surprisingly challenging to publish books on the web in nice, cohesive, tight, easy-to-navigate HTML format." Quarto is one great option for doing that today. Bonus: it can also generate EPUBs and PDFs, all from one set of source files. https://quarto.org/ It's free and open source. https://github.com/quarto-dev/quarto-cli https://jjallaire.github.io/hopr/. - Source: Hacker News / 26 days ago

• Ask HN: Best way for a Markdown based blog and eBook?

  I've used Quarto[1] to build a personal blog and it has been really easy and straightforward. Especially if you want to run some code alongside the post (like Python, R, or Julia). As far as I know, you can also use it to write books and presentations. [1]: https://quarto.org/. - Source: Hacker News / about 1 month ago

• Scipy 1.13

  > Interactive examples have been added to the documentation, allowing users to run the examples locally on embedded Jupyterlite notebooks in their browser. This might sound strange, but to me this is the most exciting thing listed in the update document. I've been looking for ways to include _interactive_ Python scripts on static webpages (such as those made using Jupyter Book [1] or Quarto [1]. Up to now the only... - Source: Hacker News / 2 months ago

• Sent – simple plaintext presentation tool

  Deckset was the OG in this space, which I used a decade (!) ago in college. Looks like they moved off the Mac App Store, and are bringing out an iOS app now: https://www.deckset.com Now I much prefer something like https://quarto.org with dataviz. - Source: Hacker News / 4 months ago

• Sent – simple plaintext presentation tool

  To mirror another comment: I really like the concept and will give it a try. As an alternative, I want to suggest [Quarto](https://quarto.org) - somewhat similar, easy to use, one might even call it "basic" (I mean that in a good way!) 7/5 ^^. - Source: Hacker News / 4 months 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 / 3 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: 6 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: about 1 year ago