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⭐️ Companies that don't have a broken hiring process
A tool for writing better scripts
TranslatedA visual no-code/code-free web crawler/spider. 易采集 (EasySpider, "easy collection"): a visual browser automation testing/data collection/web crawler software that lets you design and execute crawler tasks graphically without code. Alias: ServiceWrapper, an intelligent service wrapping system for Web applications.
Node.js/Typescript/Bun Production Process Manager with a built-in Load Balancer.
High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. Looking for p5.js 2.0? http://beta.p5js.org
🌊 A flexible and fun JavaScript file upload library
Content aware image cropping
modest natural-language processing
Expressive, robust, feature-rich CSS language built for nodejs
🏩 A simple process manager for developers. Start apps from your browser and access them using local domains
markdown processor powered by plugins part of the @unifiedjs collective
List of libraries, tools and APIs for web scraping and data processing.
Official Firecrawl MCP server, the context API for AI agents: search, scrape, and interact with the web, plus parse, crawl, map, Agent and Monitor, from any MCP client.
Process execution for humans
Translatedvue source code line by line annotation analysis + vue source code process flow chart mind map over 40 MB in size
An open-source online reverse dictionary.
Fabulously kill processes. Cross-platform.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
:alarm_clock: AI conference deadline countdowns
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Web-based Process Visualization (SCADA/HMI/Dashboard) software
Parse, inspect, transform, and serialize content with syntax trees