Python in Excel
HISAB 360 lets you run real Python in Excel without a Microsoft 365 or Copilot subscription. Your code executes locally on your own machine using a sandboxed Python 3.11 runtime with pandas, numpy, openpyxl and plotly. Results are written straight back to your sheet, and your workbook data never leaves the computer.
Start free trialMicrosoft's own Python in Excel is gated behind a Microsoft 365 subscription and runs your code on Microsoft's cloud. HISAB 360 works differently. It runs in Excel 2016 and later, including standalone perpetual licences, with no M365 plan, no Copilot, and no Azure container. You ask in plain English or write Python directly, and the analysis runs on your desktop. If you have Excel and Windows, you can run Python in Excel today.
The sandboxed Python 3.11 runtime is bundled and executes on your computer, not in a remote container. That means you can run pandas in Excel while offline, on a locked-down corporate laptop, or behind a firewall. Because execution is local, you keep full control of compute and data residency, and there is no per-cell round trip to a cloud service before you see a result.
This is the genuine scientific Python stack, not a cut-down formula function. Use pandas for cleaning and reshaping data, numpy for vectorised math, openpyxl for workbook structure, and plotly for interactive charts. Load a messy export, group and pivot it, run a calculation across thousands of rows, then write the cleaned table back into the sheet. The output lands in your workbook as values and ranges you can keep working with.
The execute_analysis tool reads the ranges it needs, runs your Python locally, and writes the results back into Excel automatically. No copy and paste, no exporting CSVs, no separate notebook to babysit. You stay inside the workbook the whole time, and the AI agent can chain Python with its other 72+ tools, such as formatting the output, building a pivot table, or generating a Plotly dashboard.
We think the fair contrast is this. Microsoft Python in Excel requires a Microsoft 365 subscription, runs in the Microsoft cloud, restricts you to a curated package set, and cannot read arbitrary local files. HISAB 360 runs locally with no M365 requirement, executes on your own machine offline, and uses the standard pandas, numpy, openpyxl and plotly stack. Microsoft's version is deeply integrated into the M365 grid experience and benefits from Microsoft's support; if you already pay for M365 and only need curated libraries, it may suit you well. HISAB 360 is for people who want local, sandboxed execution without that subscription.
HISAB 360 is local-first. Your workbook data stays on the machine, and only sheet names, ranges, headers and a sample of rows are sent to the AI to plan the work. The full dataset is processed locally by Python and never uploaded. You also get governance built in: operating modes from Ask-only to Automate, an audit log of every change, auto-backup before operations, and rollback if you want to undo.
Yes. HISAB 360 runs Python in Excel on Excel 2016 or later, including standalone perpetual versions, with no Microsoft 365 or Copilot subscription. The Python 3.11 runtime is bundled and executes locally on your machine.
Locally. The sandboxed Python runtime runs on your own computer, so it works offline and your full dataset is never uploaded. Only sheet names, ranges, headers and sample rows are sent to the AI to plan the work.
Yes. HISAB 360 ships pandas, numpy, openpyxl and plotly in a sandboxed Python 3.11 environment. You can clean, reshape and analyse data with the standard stack and write the results back into your sheet.
Microsoft Python in Excel requires a Microsoft 365 subscription, runs in Microsoft's cloud, limits you to a curated package set, and cannot read arbitrary local files. HISAB 360 runs locally with no M365 requirement and uses the standard pandas, numpy, openpyxl and plotly libraries.
It is designed for that. Python runs in a local sandbox, your workbook data stays on the machine, and governance features include an audit log, auto-backup before operations, approval modes and rollback so you can review or undo any change.
Back into your sheet. The execute_analysis tool writes outputs directly into Excel ranges, so there is no manual copy and paste or separate notebook to manage.
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