Autoplot
Autoplot is a native macOS application that unifies scientific data analysis, plotting, and publication-ready figure creation in one powerful workspace. Designed specifically for Apple Silicon, it eliminates the friction of switching between multiple tools, copying data between LLMs, terminals, and editors—giving researchers full control over their workflow with complete data privacy.
Product Highlights
- Unified Workspace: Import, analyze, plot, and publish scientific data without leaving the application or copy-pasting between tools
- Native Apple Silicon Performance: Built with SwiftUI for instant launch, native scrolling, and document-based projects—not a web wrapper
- Local-First Data Privacy: Raw data stays on your Mac, never uploaded; AI assistant reads intent and schema without accessing raw values
- Full Scientific Toolkit: X&Y plots, histograms, CDF/CCDF, heat maps, 3D visualizations, correlations, and categorical charts with Python flexibility via local AI assistant
- Publication-Ready Export: Vector PDF at journal DPI with embedded fonts, plus PNG and JPG—figures update automatically when data changes
- Offline Capability: Self-contained Python stack (NumPy, SciPy, Matplotlib) runs inside the app with no installation or network required
Use Cases
- Academic Research: Scientists preparing journal submissions with precise, annotated figures that meet publication standards without scripting overhead
- Student Learning: Students analyzing datasets and creating professional visualizations for coursework and thesis projects with guided AI assistance
- Industry R&D: Engineers and analysts exploring data under NDAs, keeping proprietary information local while leveraging AI-powered analysis
- Deadline-Driven Publishing: Researchers iterating quickly on figures for referee responses or conference deadlines with instant export and revision
Target Audience
Autoplot serves students, academic scientists, and industry R&D professionals who need professional scientific visualization on macOS without compromising data security or workflow efficiency. It is ideal for users frustrated with browser-based tools that upload sensitive data and cross-platform apps that feel like web pages in windows.