3 dépôts
Unified database interfaces that use a chat format for querying and managing multiple database engines.
Distinct from Unified Database Interfaces: Distinct from Unified Database Interfaces: focuses on the chat-based interaction paradigm rather than a programmatic API.
Explore 3 awesome GitHub repositories matching data & databases · Chat-Based Interfaces. Refine with filters or upvote what's useful.
SQL Chat is a Docker-deployed chat interface that translates natural language questions into SQL queries and executes them against connected databases. It uses a large language model to generate SQL from plain English instructions, supporting both querying and record modification through INSERT, UPDATE, and DELETE statements within the chat conversation flow. The application connects to MySQL, PostgreSQL, MSSQL, TiDB Cloud, and OceanBase databases through a unified driver abstraction layer, allowing users to interact with multiple database types from a single chat interface. Users provide the
Connects to MySQL, PostgreSQL, MSSQL, TiDB Cloud, and OceanBase databases through a unified chat interface for querying and management.
Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates
Implements a chat-based interface for querying data and sharing charts using dedicated slash commands.
Eiten is an AI-powered market analysis platform and quantitative toolset designed to translate statistical market data and options flow into investment strategies. It provides a suite of specialized financial tools, including an analysis platform driven by large language models, a quantitative portfolio optimizer, and a trading strategy backtester. The project distinguishes itself through the use of random matrix theory to filter covariance noise and mathematical algorithms for portfolio optimization. It integrates these capabilities with a financial data bot for delivery of real-time researc
Implements a command-driven chat interface for fetching options flow and stock research.