Native
Native SwiftUI for Apple Silicon
Fast, local, document-based projects - a true Mac app, not a web page in a window.
Autoplot for macOS
Create power-law fits, CCDFs, finite-size-scaling collapses, heat maps, correlation matrices and other advanced analysis without the copy paste hassle. Edit and publish, and iterate on plots with pixel-perfect annotations with a click.
Why Autoplot
Move from endless copy-paste cycles with no persistence to a unified workspace that imports, cleans, analyzes, and plots your data with reproducibility and full data privacy.
Workflow
Nothing to copy. Nothing to upload. Nothing to redo.
Pull in local or SFTP files, preview the parse, and name analysis-ready variables.
Run a 1-click analysis (see the list), or have AI write the Python — without sharing your data.
Your result becomes a figure in the same app — restyle and recolor without re-running.
Export as image, vector PDF, composed panel, or reproducible Python.
Tools
The full surface set - distributions, fits, scaling collapses, heat maps, correlations - reachable from a card or a plain-language request, with raw values never leaving your Mac.
Assistant
Conversational help that respects the data boundary — and drives the whole toolkit.
Reads your intent and schema, never your raw values — you confirm before anything runs. Data privacy
An open-weights model that never trains on your inputs — not a frontier chatbot.
Reach any Autoplot surface in plain language, then confirm and run it locally.
Runs in the workspace — no shuttling data and code to a separate chatbot.
Export
Change a card and the figure follows — no re-running a script, no third-party tools.
Vector PDF at journal DPI with embedded fonts, plus PNG and JPG.
Labels and callouts live with the figure and move when you re-style.
Assemble panels into one paper-backed board, exported as a single figure.
Export the whole analysis as runnable Python and Matplotlib.
Mac-native
Native SwiftUI on Apple Silicon, the scientific Python stack running inside the app, and a privacy roadmap that keeps your raw data yours even when a request needs the cloud.
Native
Fast, local, document-based projects - a true Mac app, not a web page in a window.
Engine
A persistent in-app Python engine - SciPy, NumPy, Matplotlib, pandas - the tools you already trust, with no environment to set up.
Local-first
Everything runs on your Mac. The network is only for the optional hosted assistant, your account, and billing.
On the roadmap - building now
We're moving the hosted assistant onto Apple's Private Cloud Compute - the architecture behind Apple Intelligence. When a prompt is too big for the on-device model, it runs on stateless Apple-silicon servers that retain nothing, allow no privileged access, are cryptographically verifiable, and can't be targeted at an individual. The result: on-device-grade privacy for your data even when it leaves the Mac.
Built for
What changes is the output target: a thesis figure on a deadline, a manuscript panel that has to survive review, or analysis that cannot leave a controlled network.
Pricing
Free covers the essentials: X&Y plots, histograms with fits, PDF / log-binned / power-law analysis, project save/load, and vector PDF export, with a small hosted-assistant allowance.
Plus opens the rest of the analysis surfaces. Pro adds higher assistant volume on top. Public price and credit numbers are pending until the credit model is locked.
See pricing ->Launching June 22, 2026. Join the waitlist for first access; the launch email will include the download links and final pricing.