
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs.
Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding.
Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow.
Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives.
By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.
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Fink
The Fink initiative aims to introduce the extensive realm of Unix open-source software to Darwin and Mac OS X environments. By modifying Unix applications to ensure they compile and operate seamlessly on Mac OS X—essentially "porting" them—we provide users with a unified distribution available for download. Utilizing Debian tools such as dpkg and apt-get, Fink offers robust binary package management capabilities. Users have the flexibility to either download precompiled binary packages or opt to build everything from source code. The project supplies both precompiled binary options and a fully automated system for building from source. While Mac OS X comes with merely a fundamental set of command-line tools, Fink enhances these tools and presents a variety of graphical applications designed for Linux and other Unix systems. With Fink, the compilation process becomes entirely automated, freeing users from the complexities of Makefiles and configure scripts, along with their various parameters. Additionally, the dependency management system ensures that all necessary libraries are automatically accounted for, streamlining the overall user experience. As a result, Fink significantly enriches the software ecosystem available to Mac OS X users.
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Rudix
Rudix serves as a build system specifically designed for macOS, previously known as Mac OS X, while offering limited compatibility with OpenBSD, FreeBSD, NetBSD, and Linux. This build system, often referred to as "ports," supplies detailed guidance for compiling third-party software directly from the source code. Beyond merely functioning as a ports framework, Rudix includes a variety of packages and precompiled software packaged neatly in *.pkg files for straightforward installation on your Mac. Those interested in contributing to the project can find it on GitHub at rudix-mac or its mirrored version on GitLab at rudix. Users are encouraged to utilize the GitHub issue tracker for reporting bugs or suggesting new features. Alternatives to Rudix include similar projects like Fink, MacPorts, pkgsrc, and Homebrew, which also aim to simplify software installation on macOS. Packages are meticulously compiled and verified on macOS Big Sur (Version 11, Intel only!), Catalina (Version 10.15), and OS X El Capitan (Version 10.11). Each package is designed to be self-sufficient, containing all necessary components to function properly, with binaries, libraries, and documentation installed in the /usr/local/ directory. Furthermore, Rudix aims to enhance the user experience by providing a cohesive platform for software development and installation on macOS.
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