Deno
Bun.sh
Node.js
Fresh Framework
Next.js
React
Svelte
Preact.js
Apache Arrow
Pandas
Apache Parquet
Apache Spark
DuckDB
KNIME Analytics Platform
HPCC Systems
Splunk Enterprise
Apache ArrowDeno 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.
Based on our record, Deno should be more popular than Apache Arrow. It has been mentiond 201 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.
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
I had no idea what Arrow is: https://arrow.apache.org or arrow-rs: https://github.com/apache/arrow-rs. - Source: Hacker News / 11 months ago
- Open source: Pontoon is free to use by anyone Under the hood, we use Apache Arrow (https://arrow.apache.org/) to move data between sources and destinations. Arrow is very performant - we wanted to use a library that could handle the scale of moving millions of records per minute. In the shorter-term, there are several improvements we want to make, like:. - Source: Hacker News / 12 months ago
Apache Arrow : It contains a set of technologies that enable big data systems to process and move data fast. - Source: dev.to / over 1 year ago
One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format. - Source: dev.to / over 1 year ago
Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame. - Source: dev.to / about 2 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.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
Fresh Framework - Fresh is a next generation web framework, built for speed, reliability, and simplicity.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.