Carbon

    Platform

    Data Analysis

    Python-first, from trace to result

    A Python-first environment for measurement analysis, wired to the same traces and datasets your instruments produce. Explore in code, run on managed compute, and publish figures that stay tied to the run behind them.

    Analysis shouldn't mean exporting CSVs and emailing files. Carbon gives you a Python-first workspace on the same datasets your instruments write, pandas, NumPy, and your own libraries, running on managed compute, producing figures that never lose track of the run that produced them.

    Python on your own data.

    Open a Python workspace on the same datasets your instruments write, no export, no copy/paste between machines.

    Collaborative by default.

    Real-time collaborative editing with your team, with presence and versioning built in.

    Compute when you need it.

    Run analyses on managed compute environments without leaving the platform.

    ACQUISITIONDATASETV3 · CURRENTV1 · V2 RETAINEDPYTHON · LIVE COLLABFIGUREREPORTWRITESREADSNO EXPORTS · THE FIGURE KNOWS WHICH RUN PRODUCED ITMANAGED COMPUTE ON DEMAND

    How it works

    01

    Acquire

    Instruments write straight into versioned datasets, no export, no copy/paste between machines.

    02

    Analyze

    Work in Python on the same data, pandas, NumPy, and your own libraries, with live collaboration and managed compute on demand.

    03

    Publish

    Figures and reports stay linked to the exact run that produced them, reproducible by construction.

    See data analysis on your own bench.