Quarto
Typst
Slidev
Medium
Nue
R Markdown
Astro Build
Observable
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Quarto JupyterBased on our record, Jupyter seems to be a lot more popular than Quarto. While we know about 205 links to Jupyter, we've tracked only 20 mentions of Quarto. 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.
> 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 / about 1 month ago
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 / 3 months ago
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 / 3 months ago
The magic of well-defined APIs! If you're interested in mixing different DS backends and kernels in a single notebook, check out Quarto: [1]: https://quarto.org/. - Source: Hacker News / 3 months ago
Quarto - https://quarto.org I've been searching for some time also, more or less the same requirements, and I settled on quarto. Give it a try, you won't be disappointed! - Source: Hacker News / 3 months ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 17 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 28 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 23 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Typst - Focus on your text and let Typst take care of layout and formatting. Join the wait list so you can be part of the beta phase.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Slidev - Presentation slides for developers
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.