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MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows
一个金融数据查询命令终端,它简单、高效、灵活,并很容易定制自己的金融数据查询工具。
AI-powered NLP system that converts natural language into SQL queries using LLMs, with schema awareness and automatic error correction.
Allows querying data from the SISU API through a console application.
Linq is a powerful Python library that allows you to query and manipulate collections in a fluent, SQL-like manner. Inspired by LINQ in C#, this library provides a rich set of methods for transforming, filtering, and aggregating data with ease
An open-source natural language to SQL converter with LLM-powered query generation, visualization, and PostgreSQL integration for exploratory data analysis.
Multi-format data query tool with interactive TUI — JSON/YAML/TOML/CSV
A collection of SQL scripts demonstrating various analytical techniques, such as changes over time, magnitude, cumulative, performance, data segmentation, part-to-whole analysis.
Jupyter Notebook workflow for querying and extracting structured datasets from Google Cloud Datastore / Firestore
Consumer-side query layer over the dsviper binding — native Python functional chaining, a fluent Query, and a Mongo-like match(). No bridges: Viper values are hashable/comparable.
Consumer-side query layer + match/Query DSL over the @digitalsubstrate/dsviper Node binding
A lightweight query engine that treats a folder of CSV/JSON files as a relational database. Write queries in a compact GraphQL-like syntax and get back nested JSON — no SQL, no database server.
Bloomberg Query Language (BQL) is a proprietary query language for accessing, filtering, aggregating, and computing on Bloomberg's financial data universe. BQL enables users to write flexible data requests that go beyond standard API fields, supporting derived calculations, time series expressions, and complex filtering of securities and data…
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