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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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.
RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
JSEXT is a framework for JavaScript for server scripts, web servers and web clients. Seamlessly integrates C libraries with JavaScript code. Based on this, JSEXT provides support for fastcgi, MySQL, SQLite, FTP, SMTP, HTTP and more.
Given YACC-like and LEX-like input files, yagg generates a C++ program that generates all strings of a user-specified length. yagg is easy to use, and provides a means of generating test inputs or validating a parser grammar by inspecting the strings.
The CCC Language is yet another programming language. It is platform-independent, compact, and robust. Supports many SQL engines, has own ISAM DB engine, has terminal mode and more UI-s, is object-oriented, but it is compiled and not interpreted.
A parsing toolkit that supports both top-down (LL(1) and Simple Precedence) and bottom-up parsing (LR(0), SLR(1), LR(1) and LALR(1)). The toolkit supports generating Java parsers for all the bottom-up parsing methods, based on a CUP definition.