Per the deck.gl website, deck.gl is a GPU-powered framework for visual exploratory data analysis of large datasets. It makes use of WebGL to render large datasets quickly and efficiently. deck.gl is a great tool for visualizing large datasets in a performant way. It is (mostly) agnostic to the mapping library you use, so it can be used with Google Maps API. - Source: dev.to / about 1 month ago

You will need a decent front end framework, I suggest using https://deck.gl/ to maybe start off . You can also opt develop something yourself using webgl framework but will take more time. It depends on your experience and budget. Source: about 1 year ago

The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately. (This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2]) [0]: https://kepler.gl/ [1]:... - Source: Hacker News / about 1 year ago

The title speaks for itself lol. Currently, I am building an interactive map using mapbox and deck.gl. I needed to use deck.gl because its the only react friendly library. Lately, I have had a hard time finding a geocoder to use with deck.gl. If anybody has any suggestions please let me know! Source: over 1 year ago

If you are in this space deck.gl [0] is well worth cehcking out. It does scale at speed, 3d and motion extremely well. [0] https://deck.gl/. - Source: Hacker News / almost 2 years ago

At https://hal9.com, we built components for data science com native JavaScript to avoid the waiting times and download overhead if Pyodide. We found out the best tools for doing data science in the browser are a combination of Arquero and D3 and TensorFlow.js. At least for now. We wrote our findings of this and many other libraries here: https://news.hal9.com/posts/data-science-with-javascript. - Source: Hacker News / about 2 years ago

Https://hal9.com helps data scientists build faster web applications. It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide. - Source: Hacker News / about 2 years ago

If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you! - Source: Hacker News / over 2 years ago

You can find more about this project at https://hal9.com — We allow you to edit any block with JavaScript and to export the analysis as as embeddable HTML. You can also use Python or NodeJS if you need more advanced functionality. Source: over 2 years ago

We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks. If you want a demo or just time to chat, I'm available at javier at hal9.ai. - Source: Hacker News / over 2 years ago