Text To Sql Python Packages

vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

wren-core-py

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

pandasai

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

wrenai

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

apowerb

The open-source agentic framework to build, orchestrate, and operate production AI agents.

schemagate

Text-to-SQL access control: schema selection that gives the LLM only the tables the caller is allowed to read. Row-level-security-aware table pruning for LangChain, MCP and any SQL agent. Postgres, Oracle, MySQL, SQL Server. 75% fewer prompt tokens.

qwenpaw-data-host-core

Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host)

qwenpaw-data-context

Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host)

qwenpaw-data-skills

Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host)

agami-core

The trust layer between AI and your data. Turns your database schema - messy joins, undocumented tables, into a governed semantic model so AI answers with correct SQL and a receipt on every answer. Run it locally, or self-host a shared team server with Docker.

qwenpaw-data-cli

Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host)

dst-core

dst (data serve tool) — open-source semantic layer and MCP server between the AI your team uses and your data warehouse. Governed answers with the SQL, a grade and a receipt.

wren-langchain

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

pyomop

Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.

wren-engine

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

exmergo-dex-core

Dex is the agent-native analytics engineering toolkit. Point it at your warehouse and your dbt project. It learns the landscape, authors your transformations, and tells you exactly what to fix when the schema drifts. Built for analytics engineers and data engineers who want more out of their coding agent.

pandasai-openai

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

orionbelt-semantic-layer-mcp

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore semantic models, compile queries, and execute analytics via natural language. Works with Claude, Cursor, Windsurf, Copilot.

lumen

Illuminate your data. Agent framework turning natural language into SQL, charts, dashboards and reports.

pandasai-litellm

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

cassis-cli

Validate, test and eval a Cassis ontology from your terminal, then publish it. The same commands run in CI to gate pull requests.

sqlgpt-parser

sqlgpt-parser is a Python implementation of an SQL parser that effectively converts SQL statements into Abstract Syntax Trees (AST). By leveraging AST tree comparisons between two SQL queries, it becomes possible to achieve robust evaluation of text-to-SQL models.

tabulaflow

Open-source data agent and Python library for querying, transforming, and visualizing any kinds of data - databases, files, knowledge graphs, Hugging Face datasets, and the web.

whodb-sdk

Where data access meets operational intelligence