Autoplot

ACTIVE

Unify data analysis and plotting in one powerful workspace

Launched July 20, 2026

About Autoplot

Autoplot is a native macOS application that unifies data import, analysis, plotting, and publishing in a single workspace. It lets users import CSV or SFTP files, merge headers, apply Python‑based transformations, and use built‑in scientific tools such as histograms, heat maps, 3D plots, CCD, AUC, power‑law fits, and correlation matrices. An on‑device AI assistant can generate Python/Matplotlib code, run it locally, and help compose multi‑panel figures. Results can be exported as print‑ready vector PDFs, PNGs, or JPGs, all while keeping data private on the user’s machine.

Pricing

Pricing information isn't available yet.

Capabilities

Data Import

Import tabular data from local files or SFTP with one click, set delimiters, headers, encoding, and merge files without writing code.

Python‑Powered Transformations

Apply splicing, filtering, or derived variables on import using assistant‑generated Python that runs locally.

Scientific Plotting

Create X‑Y plots, histograms with Gaussian/mixed fits, heat maps, 3D scatter/surface/line plots, and categorical charts.

Analysis Toolkit

Perform CCD, AUC, log‑binned distributions, power‑law and truncated fits, scaling relations, correlation matrices, and network analyses.

AI Assistant

Conversational interface that reads schema (not raw data), suggests Python/Matplotlib code, and can orchestrate import, analysis, plotting, and export actions locally.

Export & Publication

Export figures as print‑ready vector PDFs at journal DPI with embedded fonts, as well as PNG and JPG, supporting iterative updates without re‑running scripts.

Data Privacy & Local‑First

All processing occurs on the Mac; the assistant never sends raw data to the cloud, ensuring full data privacy.

Use Cases

Rapid Coursework Plots
Generate fitted plots and journal‑quality PDFs directly from lab CSVs for assignment deadlines.
For: Students
Peer‑Reviewed Research Analysis
Fit heavy‑tail distributions, inspect diagnostics, and export reproducible Python scripts for reviewer scrutiny.
For: Scientists
Secure Industry R&D Workflows
Analyze sensitive datasets locally on Apple Silicon, compose multi‑panel figures, and maintain data confidentiality without cloud dependence.
For: Industry Researchers