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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Collaborative notebooks and dashboards powered by Python, SQL, AI.
Briefer lets technical teams create, share, and schedule interactive notebooks and dashboards using Markdown, Python, SQL, native visualizations, and AI‑generated code, all with real‑time collaboration.
Briefer is a web‑based platform that lets technical users build notebooks and dashboards in a single workspace. Write Markdown for documentation, Python for data manipulation and custom visualizations, and SQL for data extraction. Native visualizations let you create charts without code, while AI‑assisted generation can draft queries and scripts based on your schema and notebook context. Interactive inputs such as dropdowns and date pickers turn notebooks into lightweight data apps that anyone can explore.
Run Briefer locally with a single pip install briefer command; the installer pulls the required Docker image and sets up persistent volumes. Alternatively, launch the official Docker image directly. The system supports PostgreSQL, BigQuery, Redshift, Athena, and MySQL connections, and you can upload arbitrary files. Real‑time multiplayer editing lets multiple team members work on the same page simultaneously, and scheduled runs keep dashboards up‑to‑date. Free deployment assistance is available for teams that need help getting started.
When teams consider Briefer, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Monthly sales performance dashboard
Automated data pulls, Python‑driven calculations, and interactive filters keep leadership updated without manual reporting.
Customer churn prediction notebook
Combine SQL data extraction with machine‑learning models in Python, then schedule nightly runs to monitor churn risk.
Internal API data explorer
Fetch API data, join with warehouse tables, and expose as a searchable dashboard for product teams.
Ad‑hoc data pipeline testing
Write write‑back scripts in notebooks, execute them on demand, and collaborate in real time to validate pipeline changes.
Install via pip with `pip install briefer`; the installer pulls the required Docker image and sets up data volumes.
Yes, Docker is required for the runtime environment, whether you use the pip installer or run the Docker image directly.
Briefer supports PostgreSQL, BigQuery, Redshift, Athena, and MySQL connections.
Yes, Briefer offers real‑time multiplayer editing so collaborators see each other's changes instantly.
A cloud version is available; you can also request free assistance to deploy a self‑hosted instance.
Project at a glance
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