Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours
Sisense is recommended for businesses and organizations of all sizes that need to transform complex data into actionable insights. It is particularly beneficial for data analysts, business strategists, and decision-makers who require real-time business intelligence and visualization without extensive IT intervention.
Based on our record, GPU.JS seems to be more popular. It has been mentiond 11 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.
Imho there are js libraries which goes through the traditional rendering based shader path to emulate general purpose computations on the GPU, gpu.js for example https://gpu.rocks/#/. - Source: Hacker News / 19 days ago
How will this compare to Gpu.js? https://gpu.rocks/. - Source: Hacker News / about 2 years ago
Https://gpu.rocks/#/ Sorry, this is barely gameplay related, just interested if that could be kept synced. - Source: Hacker News / over 2 years ago
You can refresh the page to get a different random generator function. This code uses the great gpu.js library (https://gpu.rocks) to speed things up. The basic idea is to generate colors for each pixel at each given time step by running a randomly-generated function. The function is influenced by the concept of neural nets as universal function approximators. Basically, it takes the pixel x/y coordinates and some... - Source: Hacker News / over 3 years ago
Website nowadays have high end graphics and requires a lot of processing power so it might be a good IDEA to utilize the power of GPU. It might sound complicated but its really simple actually. Because there are many library out there to help you out. For example GPU.js. It also switch backs to regular mode if the user device don't have a GPU so no worries there. So get started now by reading the DOCS. - Source: dev.to / over 3 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
gpgpu.js - JavaScript library to use the GPU in the browser through WebGL
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Angular.io - Angular is a JavaScript web framework for creating single-page web applications. The code is free to use and available as open source. It is further maintained and heavily used by Google and by lots of other developers around the world.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
WebMonkeys - JavaScript library for massively parallel GPU programming