
Deno
Bun.sh
Node.js
Fresh Framework
Next.js
React
Svelte
Preact.js
SuperAnnotate
Labelbox
V7
CloudFactory
Playment
Hive
Dataloop AI
Clarifai
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotateโs expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
SuperAnnotateDeno is recommended for developers who are starting new projects that can benefit from its modern approach, those who prioritize security, and developers who prefer using TypeScript. However, for large-scale projects that depend heavily on Node.js's extensive package ecosystem, the transition might require additional considerations.
No SuperAnnotate videos yet. You could help us improve this page by suggesting one.
Based on our record, Deno seems to be a lot more popular than SuperAnnotate. While we know about 201 links to Deno, we've tracked only 1 mention of SuperAnnotate. 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.
Deno โ https://deno.land Technology: JavaScript/TypeScript runtime. Backed / sponsored by: Deno Company + open source community. How to generate revenue: Paid hosting, enterprise support, managed Deno services, training. Description / details: Secure by default runtime by Nodeโs original author; integrates TypeScript natively. - Source: dev.to / 10 months ago
Deno.bench("URL parsing", () => { new URL("https://deno.land"); }); Deno.bench("Async method", async () => { await crypto.subtle.digest("SHA-256", new Uint8Array([1, 2, 3])); }); Deno.bench({ name: "Long form", fn: () => { new URL("https://deno.land"); }, }); Deno.bench({ name: "Date.now()", group: "timing", baseline: true, fn: () => { Date.now(); }, }); Deno.bench({ name:... - Source: dev.to / over 1 year ago
// Importing the serve function from Deno's standard library Import { serve } from "https://deno.land/std@0.196.0/http/server.ts"; // Function to handle requests Async function handler(req: Request): Promise { const { pathname, searchParams } = new URL(req.url); // Handling different routes if (pathname === "/api/greet" && req.method === "GET") { const name = searchParams.get("name") ||... - Source: dev.to / almost 2 years ago
Import { Application, Router } from "https://deno.land/x/oak/mod.ts";. - Source: dev.to / almost 2 years ago
LogTape is a shiny new logging library for JavaScript and TypeScript that's designed with one goal in mind: to make logging simple, flexible, and hassle-free across all your JavaScript environments. Whether you're building applications for Deno, Node.js, Bun, edge functions, or browsers, LogTape has got you covered. - Source: dev.to / almost 2 years ago
Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: about 5 years ago
Bun.sh - Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager.
Labelbox - Build computer vision products for the real world
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Fresh Framework - Fresh is a next generation web framework, built for speed, reliability, and simplicity.
CloudFactory - Human-powered Data Processing for AI and Automation