Op

Op is a data analysis workspace that brings spreadsheets, a Jupyter-style notebook, and an AI chat into one interface. It helps you answer questions about your datasets faster and reduces time spent wrestling with Python pandas and searching for fixes.

Ask questions, get working pandas code

Instead of writing complex queries and functions by hand, you can describe what you want in plain language. Op generates context-aware code that runs against your existing DataFrames, which is useful if you’re new to pandas or want to move faster.

Spreadsheets + notebooks in one workflow

Op keeps visual tables in sync with the DataFrames in your notebook, so you can see current data and calculation results side by side. In a single workspace you can:

• View, filter, and edit data in a spreadsheet-like table
• Run the generated code in a notebook environment
• Use AI chat to iterate on analysis and code

Quick start

Op is positioned for analysts, developers, and product teams who want a straightforward way to analyze data with code and AI, with answers to data questions in minutes.