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Canner/WrenAI

wrenai

⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds.

View on GitHub↗Upstream Canner/WrenAI↗

Builder

Canner

Canner • individual

Stars

14,845

Using upstream star count

Forks

1,632

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Mar 13, 2024

Project creation date

README Summary

WrenAI is a GenBI (Generative BI) platform that enables users to query databases using natural language and automatically generates accurate SQL queries and visualizations. It provides AI-powered business intelligence capabilities that can work with any database system. The platform combines text-to-SQL and text-to-chart generation to deliver instant business insights.

AI Dev Skills

Unmapped

Text-to-SQL GenerationNatural Language ProcessingLarge Language ModelsSemantic Understanding of DatabasesQuery Generation and OptimizationData Visualization GenerationQuery TranslationSemantic ParsingFew-shot LearningInformation RetrievalNamed Entity RecognitionIntent DetectionChart GenerationData Visualization AIDatabase Schema UnderstandingContext-Aware Language ModelsPrompt EngineeringMulti-turn Dialogue SystemsQuery OptimizationLLM Prompt EngineeringMulti-database CompatibilitySchema Understanding and ParsingBusiness Logic Inference

Taxonomy

AI Trends

Text-to-Code Generation Semantic Understanding Text-to-SQL Compound AI Systems Agentic AI LLM-powered Applications Semantic Reasoning Generative AI Enterprise AI

Deployment Context

Self-hosted On-premise Cloud API

Industries

SaaS Retail Business Intelligence Enterprise Software Data Analytics Financial Services Healthcare Analytics E-commerce Retail and E-commerce

Modalities

Text Tabular Code

Skill Areas

Use Cases

Automated SQL Generation Business Intelligence Dashboard Creation Report Generation Data Exploration Conversational Analytics Natural Language Database Querying Business Intelligence Automation Self-Service Analytics Data Exploration and Discovery Automated Report Generation Ad-hoc Data Analysis Database Query Optimization Self-Service Business Intelligence Chart and Visualization Generation from Questions Data Exploration without SQL Knowledge Business Metrics Discovery

Recent Activity

Updated 18 days ago

7 Days

30 Days

90 Days

Quality

beta

Quality: high
Maturity: beta

PM Skills

Developer Platform

Languages

TypeScript100.0%

Timeline

Project created: Mar 13, 2024
Forked: Mar 28, 2026
Your last push: 18 days ago
Upstream last push: 7 days ago
Tracked since: Mar 26, 2026

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