From raw data to report, without leaving the pageFrom raw data to report,
without leaving
the page
The best of Notion and Jupyternotes, spreadsheets, and scientific plots in one app
Sound familiar?
Notes in OneNote, numbers in Excel, figures in PowerPoint
One experiment, three applications. Change a single value and you re-export the chart, screenshot it, and paste it into the report all over again.
Files scattered, and no way back to them
The analysis lives in a spreadsheet, the write-up in a slide deck, the bench notes somewhere else. Six months later nobody can say which figure came from which dataset.
Notion and plain Markdown cannot draw a real plot
Fine for notes. But there is no scatter plot with a regression fit, no multi-series trace, no way to put your actual measurements on an axis.
Jupyter assumes everyone can code
Powerful, but it shuts out the students, technicians, and collaborators who are doing the bench work.
Your data is not allowed on an outside cloud
Institutional policy, an IRB condition, export controls, or a sponsor agreement - and most SaaS is ruled out before you can evaluate it.
Lablate is built to solve all of these
What you can do with Lablate
A block editor made for lab notes
Writes like Notion. Drag headings, lists, and images into place. What you edit is what you export - there is no separate preview mode to keep in sync.
Drop in the raw data and plot it on the spot
A spreadsheet is built in. Import several CSV or Excel files at once.
Scatter plots, multi-series traces, histograms, and polynomial regression.
Integrate peak areas over a selected range for spectra.
Documents that stay in step with the data
Edit a value in the table and the plot follows. Notes, calculations, and figures sit on the same page, so the report always shows the data as it stands today.
browserResearch data
folder/ OneDrive
No research data is ever stored on our servers
Written straight to the folder as CSV / Markdown / JSON / PNG
Data lives in your folder, OneDrive, or Google Drive
No research data is ever stored on Lablate's servers. Everything is written to a local folder, your institution's OneDrive, or Google Drive as Markdown, CSV, and JSON.
Designed to work alongside AI agents
Lablate writes an AGENTS.md into the folder so agents know how the files fit together.
When an agent such as Claude Code edits a file in the folder directly, Lablate picks up the change, imports it, and updates the plots.
No lock-in. Every file can be taken out of the folder at any time.
How it compares
| Capability | Office (Excel + Word) | Notion | Jupyter | Lablate |
|---|---|---|---|---|
| No code required | ||||
| Scientific XY plots and regression | ||||
| Notes and report in one place | ||||
| Data stored on your own machine | ||||
| Co-editing with AI agents | ||||
| Clears institutional IT review |
System requirements
The details IT and data-governance reviewers usually ask for, answered up front.
Browser
Chrome or Edge (latest recommended)
Folder access uses the File System Access API, which Firefox and Safari do not implement.
Operating system
Windows, macOS, or Linux (desktop)
Folder storage is not supported on mobile: iPadOS requires every browser to use WebKit, and the Android experience is built around a desktop UI.
Network
Needed to load the application
During early access every feature works without an account.
Reading and writing your research data happens between the browser and your storage folder, so file contents are never transmitted while you work.
Storage
Local folder, institutional OneDrive, or Google Drive
No research data is stored on Lablate's servers. The Google Drive integration can only reach the folder you select, so your organization's existing storage policy applies unchanged.
Three steps to get started
Sign in
A Microsoft or Google account works.
Choose where it saves
Point it at a local folder, an OneDrive-synced folder, or Google Drive. That is the whole setup.
Write, paste, plot
Write in the block editor, paste your CSV, click to plot. That is it.
Your research data stays yours
Lablate is built around one rule: research data is never sent to us.
Here is exactly what reaches Lablate's servers and what does not.
What Lablate's servers
never receive
Your research data itself
- Page text and written notes
- Datasets (numbers and tables)
- Plots, images, and attachments
Stored in: your own machine, your institution's OneDrive, or Google Drive
What Lablate's servers
do receive
Sign-in details and anonymous usage statistics
- Email address and display name (only if you sign in)
- Access logs (collected automatically by Vercel)
- Anonymous usage statistics (page views and feature events, no cookies)
Stored in: Supabase Auth (Tokyo region) and Vercel Analytics
※ About the same exposure as signing in to Slack, Notion, or GitHub
Your machine
/ OneDrive
Research data lives here
Lablate
App delivery only
Never receives research data
Take everything out of the folder at any time (CSV, Markdown, JSON, PNG)
No vendor lock-in - files are saved in standard formats, as-is
Pricing
During early access every feature is free and no account is required.
Paid plans (team sharing and advanced features) are planned for later.
Free
BetaEveryone, right now
- Every feature included
- Save to a local folder, OneDrive, or Google Drive
- No account required during early access
Team / Pro
Coming SoonPaid plans covering team sharing and advanced features are in preparation. For now, the Free plan includes every feature.
Frequently asked questions
Try it on your own data
No signup required. Every feature is available immediately.