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Features

Everything between the instrument and the journal.

LabTools (desktop, web and iPhone) covers the whole path a dataset takes: analysis and plotting, figure assembly, the manuscript, and the lab records that make the result reproducible. One data model underneath, so nothing has to be exported and re-imported between steps.

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On this page

  • Analysis & visualization
  • Figures & manuscripts
  • Lab management
  • Collaboration
  • Automation & agents
  • Specialized tools
  • Platform & security

Items marked in development ship in a later release and are described as they exist today.

Analysis & visualization

25+ chart types on one statistical engine

Every plot is built on the same data model and the same native statistics, so a test run on the data is the test shown on the figure.

Publication-grade chart library

Histograms, box, violin, raincloud, swarm and strip plots, bar and line charts, 2D and 3D scatter, heatmaps, volcano, Manhattan, ROC, Kaplan–Meier, Bland–Altman, dose–response, PCA and clustering, forest plots and more.

Native statistical engine

70+ functions compiled to machine code: descriptive statistics, eight distributions, parametric and non-parametric tests, normality and variance tests, correlations, effect sizes, power analysis, survival, time series, mixture models and outlier detection.

Statistics on the figure

Gaussian and log-normal fits, significance brackets with multiple-comparison correction, confidence bands, regression lines and quartile markers are drawn from the analysis, not typed in by hand.

Multi-dataset comparison

Overlay any number of datasets with independent axes, per-series styling and grouped statistics. Long or wide data, both understood.

Data processing

Normalisation, smoothing, baseline correction, peak detection, curve fitting (Levenberg–Marquardt) and Box–Cox / Yeo–Johnson transforms, all recorded in the plot's configuration.

Export that journals accept

SVG, PDF and PNG at up to 1200 DPI with embedded fonts, on-screen or custom sizing, and a .labt file that preserves the full chart state for later editing.

28chart types
70+statistical functions
1200DPI raster export
0cloud round-trips for a plot

Figures & manuscripts

From plot to figure to manuscript without re-exporting

A figure references the plots that make it up, and a manuscript references its figures. Change the analysis and everything downstream updates.

Figure assembly

Compose multi-panel figures on a grid with automatic panel labels, shared or independent axes, height and width ratios, and journal-sized output in inches at the DPI you need.

Manuscript editor

Draft the paper alongside the data. Insert figures, posters and slide decks directly, keep versions, and collaborate with co-authors with roles.

Posters and presentations

Build conference posters and slide decks from the same figures, with annotations and layouts that stay linked to the underlying plots.

References and literature

Search PubMed, keep a reference library with tags and collections, attach PDFs, and record which references each experiment used.

Templates and house style

Save styles for a journal or a lab and apply them to any chart. Fonts, gridlines, spines, legends and bin outlines follow the template.

Provenance

Plots are saved with their configuration and source dataset, figures with their panels, manuscripts with their figures. The path from raw file to published panel is recorded, not remembered.

Lab management

The records that make a result reproducible

Experiments, protocols, notebook entries and tasks live next to the data they describe, with an activity log underneath.

Experiments and projects

Organise work as research areas containing projects and nested tasks, with status, priority, next steps and a rollup summary. Mark work as waiting on someone and get nudged.

Versioned protocols

Every protocol keeps a lineage. Experiments link to a specific version and can be updated to the current one deliberately, never silently.

Lab notebook

Rich entries with attachments, tags, wiki-style links and backlinks. Timestamped, searchable, and tied to the experiment they belong to.

Tasks and calendar

Tasks with status, deadlines and assignees on a shared lab calendar, plus a scheduling poll for meetings that works from a link.

Activity log and digests

Observations, figures, plots and protocol changes write to a per-experiment log. Weekly digests turn that log into a slide deck you can present at group meeting.

Grants and fundingin development

Draft grant sections in a structured editor, export to Markdown, and search NIH and NSF opportunities without leaving the app.

Collaboration

Built for research groups, not adapted from office software

Teams and shared storage

Team workspaces with role-based access. Personal, team and offline storage in one Explorer-style file view with tabs, split view and drag-and-drop between them.

Messaging in context

Threaded conversations, file sharing and mentions, next to the experiment being discussed.

Video calling

Built-in video and audio calls for lab meetings and remote collaborators, with screen sharing, meeting links you can email, and calendar invites.

Cloud sync

Files sync to S3-compatible storage with conflict detection. Pin folders for offline use and keep working on the plane.

Sharing with intent

Invite collaborators to a manuscript or an experiment with a role. Access follows the invitation, and nothing is shared by accident.

Bench Remotein development

Control the desktop app from a phone at the bench: start a protocol timer, log an observation, capture a photo into the notebook.

Automation & agents

Drive LabTools from a terminal or from Claude

Every part of the app is exposed through a local, authenticated JSON-RPC interface. A command-line tool and an MCP server sit on top of it.

labtools CLI

Import datasets, run statistics, create and compose plots, manage experiments and files from scripts. Works headless for statistics on raw arrays.

MCP server for AI agents

Claude and other MCP-capable agents get every registered method as a tool: plot creation, statistical tests, notebook entries, protocol versions, figure assembly, manuscript edits.

Code cells

A notebook-style Code tab with sandboxed cells that call the same API, for the analyses that need a loop.

The same pipelines power the Data Analysis service

Specialized tools

Instrument-specific analysis

Built with the people who run the instruments, and described here as they exist today.

Atomic force microscopy

Force–distance curve analysis with contact-point detection and Hertz, DMT and JKR models. Image analysis and DNA tracing in the companion app FiTrace, and AFM–Raman map alignment.

Gel electrophoresis

Lane and band detection, molecular-weight calibration and densitometry from a gel image.

Molecular dynamics

OpenMM-based trajectory analysis: RMSD and RMSF, hydrogen bonds, binding density and free-energy summaries with 3D structure viewing.

DNA–protein binding

Binding-site and occupancy analysis for single-molecule data, with restriction-enzyme and oligonucleotide tools.

Dose–response and meta-analysis

EC50 and IC50 fitting with Hill slopes; forest plots with fixed and random effects and heterogeneity statistics.

Flow cytometry, NMR, sequencesroadmap

Gating, spectral processing and alignment tools are on the roadmap and not yet in the shipped app.

Platform & security

A native desktop app that keeps your data yours

Platform

  • Native, not a web page. Tauri and Rust with a React interface. The statistical engine is compiled ahead of time and runs on your CPU.
  • Offline first. Analysis, plotting, notebooks and experiments work with no connection. Cloud storage, teams and calling need one.
  • Windows, macOS and Linux. Windows 10/11 64-bit installer with signed updates, macOS on Apple Silicon, and Linux x86_64 as an AppImage or .deb.
  • Imports CSV, Excel and instrument formats; exports SVG, PDF, PNG and its own .labt format.
  • Scales from a dozen rows to millions without switching tools.

Security

  • OAuth 2.0 / OpenID Connect sign-in with JWTs validated on every request.
  • Row-level isolation in the database: users and teams see only their own rows.
  • TLS in transit for every connection, and cloud files scoped to your account or team: the desktop app holds no storage keys, and the server checks your account before any file is read or written.
  • Audit trail. The activity log records who changed what and when.
  • On the roadmap: NIH/NSF-compliant storage, SOC 2 Type II, GDPR documentation.

TLS everywhere OAuth 2.0 + JWT Rust engine offline first Plotly + native stats

Get started

See every feature on your own data

Free for academic and individual use, every feature unlocked, no credit card.

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LabTools

The research infrastructure: plot to figure to manuscript in one place. Free for academic and individual use.

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