Summary
Open the online demo, create a workspace and then a project. In a few clicks you have access to a full IDE, a SQL engine and Python/R runtimes, all inside your browser. No install. No data leaving your machine.
Prerequisites
- A modern browser: recent Firefox, Safari, Chrome or Edge.
- Nothing else. No account, no install.
Where is my data stored?
In your browser, through a built-in database called IndexedDB. It is a per-site local storage mechanism. Nothing is sent to a remote server. If you clear site data in your browser, Linkr’s content will be wiped — use the ZIP export to back up any important project.
Steps
Open the demo
Go to linkr-v2-b1800b.frama.io. The app loads directly in your browser. The first load may take a few seconds while DuckDB-WASM and the runtimes are downloaded and cached.
Create a workspace
A workspace is an organisational container (similar to a GitHub organisation or a GitLab group) that holds your projects, databases and wiki. Click Workspaces then New workspace, and give it a name — e.g. 'My sandbox'.
No workspaces yet
Create your first workspace to organize your projects.
Create a project
Inside your workspace, open Projects then New project. Enter a name and description, confirm: you are redirected to the project's Summary page.
No projects yet
Create your first project in this workspace.
Get the lay of the land
Four areas will cover most of your daily work inside a project.
Summary
Project overview, README and the list of ongoing tasks.
IDE
Code editor, terminal and Python / R notebooks, right inside the browser.
Data Warehouse
Databases, OMOP concepts, cohorts and patient-by-patient exploration.
Lab
Analytical datasets, built-in statistical analyses, and visualisation dashboards.
Go further with the Lab
The Lab is where data turns into results. Three main building blocks: analytical datasets (one row per patient, columns for your variables), built-in statistical analyses (Table 1, group comparisons…) and interactive dashboards composed of widgets.
| patient_id | age | sex | sofa_score | length_of_stay | mortality |
|---|---|---|---|---|---|
| P-0001 | 67 | M | 8 | 4.2 | Alive |
| P-0002 | 54 | F | 12 | 9.7 | Deceased |
| P-0003 | 71 | M | 5 | 2.1 | Alive |
| P-0004 | 49 | F | 7 | 6.4 | Alive |
| P-0005 | 82 | M | 11 | 14.3 | Deceased |
| P-0006 | 35 | F | 3 | 1.8 | Alive |
Visualise the distribution of each column, spot missing values and explore your datasets in a few clicks.
The first run takes a bit longer
On the first visit, your browser downloads DuckDB-WASM (~10 MB), Pyodide (~15 MB when you use Python) and webR (~20 MB when you use R). These runtimes are then cached and instant on subsequent visits.
What to do next
- Follow Your first project for a fuller walkthrough.
- Install Linkr locally if you want to control your own instance.
Troubleshooting
The page stays blank or freezes. Reload. On the first load, the WASM engines may take a few seconds, especially on slow connections.
I can’t find my project after closing the tab. Data is stored in IndexedDB, which is per-browser (and even per-profile). If you switched browser or profile, your data isn’t visible. Use ZIP export to move it around.