data-query

Dify 1.0 Plugin Database Query Tools

MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows

🙌 Sequ

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

healthcare_elt_pipeline

An open-source natural language to SQL converter with LLM-powered query generation, visualization, and PostgreSQL integration for exploratory data analysis.

Zero-token query lane for WeCom: type "@bot <command>" in a group and a local read-only script answers in the same message. No LLM in the loop, no context replayed, millisecond replies from a background snapshot cache. Allow-listed commands, safe to hand to colleagues.

End-to-end MySQL data warehouse: Bronze/Silver/Gold medallion architecture with documented data cleaning rules, star schema, and validation tests.

Multi-format data query tool with interactive TUI — JSON/YAML/TOML/CSV

Bloomberg Query Language (BQL) — independent third-party profile of a public API surface, by API Evangelist. 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,

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.

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.

Consumer-side query layer + match/Query DSL over the @digitalsubstrate/dsviper Node binding