Bl.ocks VS Dillinger
Compare Bl.ocks VS Dillinger and see what are their differences
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Bl.ocks
Jupyter
Calculist
iodide
Observable
Observable Notebooks
Kajero
iPython
Dillinger
Typora
StackEdit
Markdown by DaringFireball
Caret
Pine
Minimalist Markdown Editor
MarkdownPad
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Based on our record, Dillinger should be more popular than Bl.ocks. It has been mentiond 23 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.
- elijah meeks has some force collision label work that he's done, though I don't know where it lives. I'd google around, it may have lived on bl.ocks.org; there may be more up-to-date stuff too. Source: 11 months ago
D3 is luckily a very popular library with lots of resources available. I'd suggest also checking out bl.ocks and Observable for great examples. The latter one is amazing if you just want to do statistics/visualization work, since it acts like a Jupyter-like notebook environment. Source: about 2 years ago
Yeah, for that use case, https://bl.ocks.org is better than CodePen. Publish a GitHub gist, replace gist.github.com with bl.ocks.org, and sneak in "/raw" between the username and the gist id. You can even point to specific commit hashes. - Source: Hacker News / about 2 years ago
The harder way: Follow an example of someone coding the visualization on their local set up (which may be hard to find depending on what your are looking for as a lot of D3 examples have migrated to Observable). But here is an old glossary of examples it is on an old website called Bl.ocks that showed D3 examples using Github gists. Source: over 2 years ago
That's great, and hey maybe I'll steal some of your recipes from your blog too :) Currently I'm following https://bl.ocks.org/ for inspiration and don't have too many other sources to read through, but your blog seems like it's filled w/ topics on data viz & getting around pain points, I'm all about it! Source: over 2 years ago
I have used Markdown before (https://dillinger.io/) so wouldn't have a problem with using it again as long as on page SEO isn't any extra effort. I am not sure how I would use Markdown and then add the content to the blog to be deployed and if that is going to be much harder than a headless CMS, I would go for the headless. Source: 6 months ago
Useful rescources for this are: Markdown Cheatsheet and Markdown Editor. - Source: dev.to / 11 months ago
-put chatgpt output into dillinger.io and save as markdown file. Source: 12 months ago
Did you try pasting the response in a Markdown editor and check if it's working? Here's one online - https://dillinger.io/. Source: about 1 year ago
Which works at https://dillinger.io/, but not https://insiders.vscode.dev. Source: about 1 year ago
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.
Typora - A minimal Markdown reading & writing app.
Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.
StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.
iodide - Interactive, notebook programming environment for the web.
Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber