A self-hosted data analysis platform — structured recipe builder, AI-guided data preparation, and multi-database analytics. The Linux edition installs in minutes from a single Debian package.
Download for LinuxThe Statisticians Workbench is a self-hosted web application for data preparation and analysis. Connect to your databases, import files, build pipelines with a structured recipe editor or an AI assistant, and visualise results — all through your browser. Your data stays on your server: no cloud, no third-party processing.
Build data preparation pipelines step by step — chain stages like filter, join, aggregate, pivot, and impute, with a live preview of every stage's output.
An AI assistant suggests stages and configuration based on your actual schema and data. Every suggestion is recorded for a full audit trail.
Connect to PostgreSQL, MySQL, SQL Server, and MS Access. Browse schemas, preview tables, and query across all your databases from one interface.
Import CSV, JSON, and Excel files with automatic type detection. Preview, map columns, and load straight into PostgreSQL.
Bar, line, scatter, and histogram charts that update as you refine your recipe — instant feedback on every change.
Open any dataset as a Jupyter notebook for advanced analysis — Python, R, and SQL kernels, all within the Workbench.
Full interface translation in 20 languages. Switch from the globe icon — no restart required.
Multi-user support with role-based access control. Group admins manage their own users with fine-grained permissions.
The Linux edition ships as a single Debian package. The installer sets everything up for you:
| Step | What Happens |
|---|---|
| 1. Install | sudo apt install ./statisticians-workbench_<version>_amd64.deb |
| 2. Database | The installer prompts for your PostgreSQL connection, then creates the workbench database, applies the schema, seeds reference data, and loads translations in 20 languages. |
| 3. Services | The workbench-backend and workbench-frontend systemd services are installed, enabled, and started. |
| 4. Launch | A desktop icon opens your browser at http://localhost:3000. |
A Debian-based Linux distribution (tested on Ubuntu 24.04), a PostgreSQL server (local or remote), and a modern web browser.