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Cloud tools for web scraping and data extraction
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.
Neovim is a hyperextensible text editor based on Vim. It seeks to maximize usability and extensibility, simplify maintenance and encourage contributions.
Vim is a highly configurable, keyboard-driven text editor designed to make creating and editing text extremely efficient. It is based on the classic vi editor and comes preinstalled as “vi” on most UNIX systems and macOS. Vim is known for its modal editing approach, which allows users to perform complex text manipulations with minimal keystrokes. It is exceptionally stable and lightweight, making it suitable for everything from quick file edits to large development projects. Vim supports a...
Vimuiex is a library and a set of plugins for the Vim text editor. It adds a popup listbox that is displayed in an overlapping window inside Vim. Plugins: text menu, file browser, buffer list, MRU files, enhanced vimgrep (occur), ...
The original source tarball for Evis version 2.2_0, unmodified, is in Files.
README.txt gives tips for compiling on modern compilers (gcc-4.4.5 / linux) and using Xcode for Apple Sierra OS.
Elvis is a vi(1) (visual ed) vi editor clone (vim is another clone). "vi" is short for "visual ed(1)" (the 1 means see manpage for ed in section 1 of unix manual pages). vi as a visual editor means typical keyboard editing with ed(1) accessible to do complex editing jobs that developers often require (emacs is a heavyweight better than vi, but harder to use).
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.