Datatawk

Datatawk is a GenBI (Generative Business Intelligence) assistant designed to help teams explore, analyze and act on data using natural language and programmatic tooling.

What Datatawk Does

Connects to your data sources (databases, CSVs, APIs).
Executes queries and summarizes results in plain language.
Generates visualization suggestions and reusable queries.
Produces actionable insights and recommendations.

Key Features

Natural-language querying: Ask questions in plain English and get SQL or summaries back.
Data connectors: Built-in adapters for common databases and file formats.
Explainable answers: Each insight includes the underlying query and confidence notes.
Reusable workflows: Save prompts and query templates as shareable assets.

Quick start

Prepare your data source and credentials.
Add the connector for your database or upload a CSV.
Ask Datatawk questions like "Show monthly revenue by product category".

Example interaction:

Q: "Which product categories grew fastest last quarter?"

A: Datatawk will run the appropriate aggregation, return the top categories, a short plain-language summary, and the SQL used to produce the result.

Usage example - Programmatic Backend

import { createDatatawk } from 'datatawk'

const dt = createDatatawk({ connector: 'postgres', connectionString: process.env.PG })

const result = await dt.query("Show total sales by region last 6 months")
console.log(result.summary)
{ summary: "North America up 12%...", rows: [...], sql: "SELECT region, SUM(sales)..." }

Best practices & tips

Start with a clear question and, if needed, a target metric (e.g., revenue, conversions).
Provide sample data or a schema when asking complex, multi-join questions.
Use saved workflows for repeatable reporting.

License & Contact

Datatawk is provided under your project's chosen license. For questions or to contribute, reach out to the maintainer.

(Generated content — edit to add links to docs, screenshots, or installation steps specific to your project.)

DataTawk