Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Payments you can rely on to run smarter.
Never miss a sale. Square payment processing serves customers better with tools and integrations that make work more efficient.
Accept payments at your counter or on the go. It’s easy to get started. Try the Square POS app on your phone or pick from a range of hardworking hardware.
A portable and command line friendly application that takes screenshots while you work and play. This software is free and open source but if you find it useful then a small donation is appreciated! https://paypal.me/codewalker777
Crossplatform stack calculator with very fast usage.
Crossplatform calculator based on preprocessor to Lua language (CLua). CLua have a hybrid syntax between C-style and Lua and have some additions like inline condition operator etc.
Easy and very fast in use. Helpful for debugging and analysing data. Enjoy!
Get code on homepage (bitbucket. Link below) of project or download win exe from here or homepage.
This package is a collection of scripts that are supposed to take a screen shot every 10 (you may change that in the source code) seconds and produce a video file. For more information a readme is included.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.