5 Repos
Performing deep data analysis by executing optimized queries across warehouses.
Distinct from SQL Analysis Tools: Distinct from SQL Analysis Tools: focuses on the analytical outcome of querying data rather than auditing the query structure.
Explore 5 awesome GitHub repositories matching data & databases · Dataset Analysis. Refine with filters or upvote what's useful.
Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con
Enables immediate grouping, sorting, filtering, and aggregations on datasets via an interactive viewer.
This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models t
Executes optimized SQL queries across enterprise data warehouses to perform deep dataset analysis.
ThinkStats2 ist ein Kurs für computergestützte Statistik und eine Bildungsbibliothek, die darauf ausgelegt ist, Wahrscheinlichkeit und Statistik durch einen programmatischen Ansatz zu lehren. Sie bietet ein Framework zum Studium statistischer Konzepte durch das Schreiben von Python-Code und das Ausführen von Simulationen auf realen Datensätzen. Das Projekt verwendet interaktive Notebooks und eine Sammlung von Python-Modulen, um geführte Lektionen bereitzustellen. Es betont die Verifizierung theoretischer statistischer Gesetze durch iterative computergestützte Experimente und simulationsgestütztes Testen. Die Ressource deckt breite Funktionen in der Datenanalyse und Ausbildung im Bereich Data Science ab, was es Benutzern ermöglicht, Datensätze zu erkunden und statistische Analysen innerhalb einer programmierbaren Umgebung durchzuführen.
Provides a framework for studying statistical patterns using programmatic analysis of real-world datasets.
Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line interface, a web browser tool, and a Node.js library. It functions as a coordinate projector, vector data converter, and web map asset optimizer designed to transform spatial datasets between different coordinate reference systems and file formats. The project is distinguished by its topology-preserving geometry simplification, which reduces vertex counts while maintaining shared boundaries to prevent gaps and overlaps. It further optimizes assets for the web through coordinate
Provides an overview of files by printing geometry types, feature counts, and coordinate systems.
This project is an edge computing development toolkit and serverless command line interface used to develop, test, and deploy serverless functions to a global edge network. It serves as an edge runtime bundler and resource orchestrator, managing the entire lifecycle of edge projects from local development to worldwide distribution. The toolkit distinguishes itself through distributed workflow management, coordinating stateful instances and the durable execution of long-running processes across the edge. It also provides specialized integrations for edge AI, including the management of vector
Allows writing execution data points to datasets for SQL-based observability and performance analysis.