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 Linux 📖 Full DocumentationThe 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. |
| Component | Requirement |
|---|---|
| Operating System | Debian-based Linux distribution (tested on Ubuntu 24.04) |
| Architecture | 64-bit (amd64) |
| Memory | 4 GB RAM minimum, 8 GB recommended |
| Disk | ~2 GB for installation. Additional space for imported datasets. |
| Browser | Any modern browser — Chrome, Firefox, Edge, Safari |
| Database | PostgreSQL — installed automatically; a remote server can also be used |
| Internet | Required for AI features (LLM API calls) unless you run a local LLM like Ollama |
Workbench Linux is a licensed product — free to use in Demo mode. Demo mode is fully functional except for a persistent banner and no support for local AI servers (which are required to achieve data privacy).
For the open source community edition or the Business Edition with additional database connectivity, visit the main Workbench site.
Complete documentation is available at workbench-docs.sentuny.com — installation guides, user manual, API reference, recipe tutorials, and database connection setup in 20 languages.