Software Alternatives & Reviews

Bl.ocks VS Polynote

Compare Bl.ocks VS Polynote and see what are their differences

Bl.ocks logo Bl.ocks

Simple viewer for sharing code examples hosted on GitHub Gist.

Polynote logo Polynote

The polyglot notebook with first-class Scala support.
  • Bl.ocks Landing page
    Landing page //
    2023-02-08
  • Polynote Landing page
    Landing page //
    2023-10-19

Bl.ocks videos

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Polynote videos

Netflix- Polynote

Category Popularity

0-100% (relative to Bl.ocks and Polynote)
Data Science Notebooks
59 59%
41% 41
Data Science And Machine Learning
Python IDE
100 100%
0% 0
Scientific Notebooks
0 0%
100% 100

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Reviews

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Bl.ocks Reviews

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Polynote Reviews

The Best ML Notebooks And Infrastructure Tools For Data Scientists
Open-sourced by Netflix, Polynote is a notebook preferred for Scala. It supports the mixing of multiple languages in one notebook and allows easy data sharing. Since it shares the same file extension as Jupyter notebook, Polynote can be version controlled and displayed on Github. Thanks to editing features such as interactive autocomplete and rich text editing, the interface...

Social recommendations and mentions

Based on our record, Bl.ocks seems to be more popular. It has been mentiond 8 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.

Bl.ocks mentions (8)

  • Timeline chart : Where to start?
    - 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
  • [OC] Russian population decline hit -1,042,675 last year. This population pyramid shows the development since 1946. With wars, famine, and the fall of Soviet marked.
    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
  • Using Hamburger Menus? Try Sausage Links
    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
  • How do I embed this d3 visualization into my own html page?
    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
  • Optimize rendering a map w/ large data set
    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
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Polynote mentions (0)

We have not tracked any mentions of Polynote yet. Tracking of Polynote recommendations started around Mar 2021.

What are some alternatives?

When comparing Bl.ocks and Polynote, you can also consider the following products

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.

Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.

Boostnote - Boostnote is an open-source note-taking​ app.

iodide - Interactive, notebook programming environment for the web.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

Observable - Interactive code examples/posts