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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AI-First Supply Chain Management
Supply chain managers, executives, and businesses seeking AI-powered solutions to optimize planning, operations, and decision-making across the supply
Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
Elevations moves data from Excel to Unix systems. It connects VBA with Cygwin SSH, CGI and HTTP POST to deliver to a QuantLib C++ server through pipes. Provides C++ classes to process CSV files and the strings to C++ types. File schema definitions.
QChartist is an open source technical analysis software. Its purpose is to provide a complete set of tools to perform technical analysis on charts and data. It helps to make forecasts mainly for markets but can also be used for weather or any quantifiable data. The program is flexible and its functionalities can be easily extended. You can draw geometrical shapes on your charts or plot programmable indicators from your data.
ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are:
1. object design
2. portability (Linux and Windows support at least)
3. high performance
4. support for common data file formats, like CSV, ARFF (Weka), etc.