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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Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place.
For healthcare Providers and Facilities
Incredable streamlines and simplifies the complex process of medical credentialing for hospitals and medical facilities, helping you save valuable time, reduce costs, and minimize risks. With Incredable, you can effortlessly manage all your healthcare providers and their credentials within a single, unified platform. Our state-of-the-art technology ensures top-notch data security, giving you peace of mind.
opalORB (a Perl ORB) is an implementation of the OMG CORBA ORB standard and follows the CORBA/e Micro Profile plus DSI/DII. This Perl ORB is written completely in Perl and does not require a C compiler, but contains interoperability tests in C++ & Java.
CORBA::MICO is a Perl interface to the MICO ORB.
Its most distinctive feature is that it is completely dynamic. It is not necessary to pregenerate "stubs" or "skeletons" - all necessary information is retrieved at runtime.
CORBA::omniORB is a Perl interface to the omniORB ORB. It was originally based on CORBA::MICO, and shares with it the feature of being completely dynamic, making it unnecessary to pregenerate "stubs" or "skeletons"
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.