
R Markdown
Markdown by DaringFireball
Jupyter
Quarto
Spyder
PyCharm
iPython
MyST Markdown
JSON
Microsoft Office Access
Brilliant Database
Microsoft SQL Server Compact
Microsoft SQL Server
CompactView
ObjectBox
Firebird
R MarkdownBased on our record, JSON should be more popular than R Markdown. It has been mentiond 14 times since March 2021. 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.
Now, I'm starting to focus on what can be done around geol outputs to automate reporting, with a professional data-stack, like Rmarkdown or quarto to make professional looking technical debt reports. - Source: dev.to / 9 months ago
I had a feeling that it is similar to R markdown https://rmarkdown.rstudio.com. - Source: Hacker News / 11 months ago
I am surprised they didn't mention RMarkdown (https://rmarkdown.rstudio.com/), which was developed in parallel to Jupyter Notebooks, with lots of convergent evolution. RMarkdown is essentially Markdown with executable code blocks. While it comes from an R background, code blocks can be written in any language (and you can mix multiple languages). The biggest difference (and, I would say, advantage) is that it... - Source: Hacker News / over 1 year ago
Reminds me a lot of rmarkdown - which allows you to run many languages in a similar fashion https://rmarkdown.rstudio.com/. - Source: Hacker News / almost 2 years ago
I'm surprised to see no one has pointed out [RMarkdown + RStudio](https://rmarkdown.rstudio.com) as one way to immediately interface with Pandoc. I used to write papers and slides in LaTeX (using vim, because who needs render previews), then eventually switched to Pandoc (also vim). I eventually discovered RMarkdown+RStudio. I was looking for a nice way to format a simple table and discovered that rmarkdown had... - Source: Hacker News / over 2 years ago
Is it really necessary to introduce JSON in 2026? Any developers had to deal with JSON at least one time in his career. Anyway, JSON (JavaScript Object Notation) is an open standard format designed for web development usage. In fine, it became one of the most used data format. - Source: dev.to / 3 months ago
The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore youโre just wrong: YAML came out before JSON. Source: over 3 years ago
How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: about 4 years ago
The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / about 4 years ago
To help you make the transition, weโve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: about 4 years ago
Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber
Microsoft Office Access - Access is now much more than a way to create desktop databases. Itโs an easy-to-use tool for quickly creating browser-based database applications.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Brilliant Database - Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.
Quarto - Open-source scientific and technical publishing system built on Pandoc.
Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.