Briefer provides a unified platform for creating and sharing interactive data dashboards and code-based notebooks, targeting technical users who need flexibility and non-technical users who require accessible data insights. It aims to bridge the gap between traditional BI tools and code notebooks, offering a collaborative environment for data analysis, reporting, and application building.

How It Works

Briefer combines Markdown, Python, and SQL within a web-based interface, allowing users to develop content in a notebook format. This content can then be transformed into interactive dashboards with drag-and-drop functionality and user inputs. Key features include real-time multiplayer collaboration, AI-assisted code generation for queries and Python blocks, and built-in scheduling for automated updates. The architecture comprises a Next.js frontend, a Node.js API, and an optional Python AI service, all requiring PostgreSQL and a Jupyter server.

Quick Start & Requirements

• Install via pip: pip install briefer
• Run locally: briefer
• Requires Docker.
• Access at http://localhost:3000.
• Official Docs: https://docs.briefer.cloud/
• Demo: https://github.com/user-attachments/assets/dfc6c1ef-f26c-44a9-8566-857178a8c5db

Highlighted Details

• Unified notebook and dashboard creation with Markdown, Python, and SQL.
• Real-time multiplayer collaboration on shared pages.
• AI-powered code generation and error fixing.
• Integrated scheduling for automated notebook/dashboard execution.
• Interactive data app capabilities with user inputs.

Maintenance & Community

• Community support available via Slack: https://join.slack.com/t/briefercommunity/shared_invite/zt-2geo5vlh2-RxEOwCRrVEz6JDkrPHuf0g
• Contact: founders@briefer.cloud

Licensing & Compatibility

• Open-source offering licensed under AGPLv3.
• AGPLv3 requires derivative works to be open-sourced under the same license.
• Cloud offering is proprietary with additional features.

Limitations & Caveats

The AGPLv3 license may impose significant restrictions on integrating this software into proprietary, closed-source applications. The AI features require an OpenAI API key and incur external costs.