// the find
briefercloud/briefer
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
Briefer merges Jupyter-style notebooks with drag-and-drop dashboards in a single collaborative tool. You write SQL and Python in notebook mode, then promote outputs to a live dashboard without leaving the app — solving the common problem of notebooks that exist only as screenshots in Notion. It targets data teams who need both exploratory analysis and published dashboards without context-switching between tools.
SQL query blocks auto-materialize into named Python dataframes, which eliminates the usual connection boilerplate and keeps query results immediately usable in downstream Python blocks. Real-time multiplayer is built on Yjs CRDTs, so collaborative editing is genuinely conflict-free rather than last-write-wins. Datasource coverage is broad: PostgreSQL, BigQuery, Redshift, Snowflake, Databricks, Athena, MySQL, Oracle, SQL Server, Trino, and DuckDB all ship with dedicated query drivers. The notebook-to-dashboard conversion is the core differentiator — drag any block output onto a dashboard grid and wire up date pickers or dropdowns as filters without touching layout code.
The project was acquired by Resend in 2025 and its roadmap is now opaque — self-hosting teams should weigh the risk of adopting infrastructure tied to a startup mid-acquisition before they have clarity on what happens next. The AGPL license means any modifications you deploy internally must be open-sourced; the features most orgs actually want (SSO, Slack notifications, multi-workspace, granular permissions) are closed-source cloud-only, so the open-source version has a real ceiling for larger teams. AI features are hardwired to OpenAI with no model substitution — you cannot point it at Anthropic or a local model. The deployment footprint is heavy: five containers (web, api, ai, postgres, jupyter) just to run notebooks, which makes self-hosting on modest infrastructure noticeably resource-hungry compared to lighter alternatives like Marimo or Observable.