Get the weekly radar
One short email with the freshest products, every week.
Autoplot merges scientific data, plots it, and keeps annotations intact through every re-run.
Grounded in available product and source data
Re-annotating a figure from scratch every time one parameter changes wastes real research time that should go toward the actual science — Autoplot offers scientific plotting and analysis for Mac specifically to eliminate that repeated manual rework.
The site frames the problem it replaces in concrete terms: FTP to move files, a chatbot tab for generating analysis code, a terminal to run it, and a separate image editor to label the exported plot — each hop a place for something to go stale or get lost. Autoplot's alternative starts by dropping a data folder directly in, where it's parsed and merged automatically rather than requiring a hand-written script for that step alone.
From there, an AI prompt or a couple of clicks can trim experiment noise or run an analysis like a power-law fit, and changing a parameter such as x_min re-draws the plot live instead of requiring the whole pipeline to be re-run by hand. Annotations are the detail that usually gets lost in that kind of iteration — Autoplot is built so labels survive a re-run rather than needing to be redone from scratch every time the underlying plot changes.
The three named stages — Fetch/Trim/Merge, Tweak/Re-run/Re-plot, and Annotate/Re-analyze/Re-annotate — map directly onto that iterative research cycle rather than a one-shot plot-and-export workflow. The site states AI analysis run inside Autoplot keeps the underlying data private rather than sending it to a third-party service, relevant for unpublished research data. The page reviewed does not specify supported input file formats beyond general 'run files,' worth checking directly for a less common instrument data format.
No — annotations are built to survive a re-run, so a parameter change like adjusting x_min doesn't require the figure to be re-annotated from scratch.
Not necessarily — an analysis like a power-law fit can be run from an AI prompt or a couple of clicks rather than requiring hand-written code for each step.
The site's stated design specifically works against that, keeping data used in AI analysis local rather than routed to an external service where it could be exposed.
The site frames it specifically as native to one platform; the page reviewed does not describe availability on any other operating system.
