Observable VS Colaboratory

Observable Reviews

Colaboratory Reviews

Observable mentions (286)

• I'm writing a new vector search SQLite Extension

  Could this be implemented in Rust? Does that project (sqlite-loadable-rs) support WASM? https://observablehq.com/@asg017/introducing-sqlite-loadable-rs. - Source: Hacker News / 6 days ago

• Show HN: An extension to track your Wikipedia adventures

  Have you tried out a tangled-tree visualization? [1] I've found it to be super useful when visualizing these sorts of relationships in a compact way. [1] https://observablehq.com/@nitaku/tangled-tree-visualization-ii. - Source: Hacker News / 6 days ago

• A feature-rich front-end drag-and-drop component library

  Maybe I'm easy to impress, but I always stop and play around with the nested tree example when I come across Sortable. It works so flawlessly, and feels very tuned to mobile dnd. It even works to arrange (and reflow) inline spans in a paragraph! I have yet to come across this functionality in a text editor.. [0]: https://observablehq.com/@dleeftink/sortable-playground. - Source: Hacker News / 14 days ago

• Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data

  Arrow JS is just ArrayBuffers underneath. You do want to amortize some operations to avoid unnecessary conversions. I.e. Arrow JS stores strings as UTF-8, but native JS strings are UTF-16 I believe. Arrow is especially powerful across the WASM <--> JS boundary! In fact, I wrote a library to interpret Arrow from Wasm memory into JS without any copies [0]. (Motivating blog post [1]) [0]:... - Source: Hacker News / 16 days ago

• A flat map with the least error possible: The Gott-Goldberg-Vanderbei projection

  Here’s the D3 implementation (which is just an interrupted azimuthal equidistant projection): https://observablehq.com/@d3/azimuthal-equidistant-hemispheres. - Source: Hacker News / 17 days ago

Colaboratory mentions (208)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 3 months ago

• A playground to practice differential privacy - Antigranular

  To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 4 months ago

• Topic and Subtopic Extraction with the Google Gemini Pro

  Please head over to the Google Colab. - Source: dev.to / 5 months ago

• How do I begin building AI tools for myself?

  But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free. Source: 5 months ago

• Journey into Jupyter Notebooks: A Beginner's Guide

  Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals. - Source: dev.to / 7 months ago