agentic-dashboard-ai

Agentic Autonomous BI

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🚀 Agentic Autonomous BI

The most advanced, fully autonomous, multi-platform BI agent: create, analyze, and publish your Power BI, Looker, Metabase, Next.js dashboards… with zero human intervention.

• Multi-agent orchestration: Planner, Data, Analytics, QA, Viz, Power BI, Integration
• Plug & Play: configure everything in config.yaml, launch, and you’re ready
• Multi-source: Excel, CSV, SQL, ERP, BigQuery, etc.
• Full automation: extraction, analysis, QA, BI publishing
• Extensible: add your own connectors, APIs, modules

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📦 Installation

pip install agentic-autonomous-bi

🛠️ Configuration

1. Clone the repo
2. Edit config.yaml (Azure credentials, data source, integrations)
3. Install dependencies

   pip install -r requirements.txt
   

4. Launch the agent

   python orchestrator/orchestrator.py
   

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🌐 BI Integrations

• Power BI: REST API, create datasets, dashboards, reports
• Looker Studio: CSV/Excel export, Google Drive/Sheets publishing
• Metabase: CSV/Excel export, watched folder/API publishing
• Next.js/React: JSON export, public folder publishing

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🧠 Architecture

User
 ↓
Agentic BI Orchestrator (LangGraph / CrewAI)
 ↓
 ┌───────────────────────────────────┐
 │ Planner Agent                      │
 │ Data Agent (SQL, DAX)               │
 │ Analytics Agent (KPIs, trends)      │
 │ Visualization Agent (PowerBI JSON) │
 │ QA Agent (Data quality & sanity)    │
 │ PowerBI Agent (REST API calls)      │
 │ Integration Agent (auto-publish)    │
 └───────────────────────────────────┘

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✨ Features

• Multi-agent orchestration
• Multi-source extraction and analysis
• QA and data quality control
• Power BI, Looker, Metabase, Next.js dashboard generation
• Automated publishing
• Single YAML configuration
• Extensible and modular

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🔒 Security

• Azure Service Principal authentication
• Secure credential management

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🧪 Quick Test

python orchestrator/orchestrator.py

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📖 Documentation

• Install Guide
• Install Guide
• Power BI Integration
• React/Next.js Integration
• Metabase Integration
• Looker Integration

Note: PyPI only displays this README. Documentation files (like integration guides) are not directly served by PyPI. All documentation links above point to GitHub and will always work. If you click a link that starts with https://pypi.org/..., it will result in a 404 error. Always use the GitHub links in this README for full documentation.

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👤 Author

Idriss Bado
GitHub

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⭐️ Contribute

Pull requests, issues, and suggestions welcome!

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🏆 License

MIT License

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📁 Project Structure

• powerbi/ : Power BI authentication and API integration
• orchestrator/ : Main orchestration logic
• data/ : Data sources and connectors
• dashboards/ : Exported dashboards and visualizations
• agents/ : Modular agents (Planner, Data, Analytics, QA, Visualization, Integration)
• config.yaml : Central configuration file
• requirements.txt : Python dependencies
• README.md : Project documentation

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🧩 Extending

• Add SQL, ERP, BigQuery connectors in agents/data_agent.py
• Add new Power BI API methods in powerbi/api.py
• Add advanced analytics in agents/analytics_agent.py

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💬 Contact & Support

For questions, issues, or contributions, please open an issue or pull request on GitHub, or contact the author via the profile link above.