Best Python Spreadsheet for Big Data
- Next-gen spreadsheet built for big data analysis
- 1,000x faster. 1 billion+ rows. Connected to your data.
- Build custom Python spreadsheet functions with native Python inside your spreadsheet
- Import Python modules like pandas, numpy, and scipy
- Connect to Snowflake, Postgres, Databricks, S3 to create dynamic pivot tables, charts, and models
- Work with big data files and formats: multi-GB CSV, parquet, .txt, .gz, JSONL, etc.
Big Spreadsheets. Built-in Python.
Row Zero is the easiest way to analyze big data in a spreadsheet. Row Zero offers the spreadsheet features of Excel and Google Sheets, but handles billion row datasets (1,000x Excel's limits). Each spreadsheet has Python code windows built-in, so you can code Python spreadsheet functions to automate and amplify your spreadsheets. Row Zero connects directly to your data sources to enable 2-way data sync between your spreadsheets and Postgres, Snowflake, Databricks, etc.
Write Code in a Programmable Spreadsheet.
Row Zero makes coding spreadsheets with Python easy. It's much simpler than coding VBA in Excel or App Scripts in Google Sheets. Programming spreadsheets in Row Zero leverages the native Python environment so there's no installations, syncing, or waiting. Just write your code and hit Run.
Python Spreadsheet Functions
Use the built-in Python code window to create custom spreadsheet functions. Spreadsheet Python functions can run complex formulas, automate spreadsheet work, or leverage Python packages to supercharge your data analysis. Your Python functions can be called in a spreadsheet formula just like any other function (e.g. =SUM(A1,B1)) and use spreadsheet cells as variables.
Import Python Packages
Import Python libraries into your spreadsheet with the normal python syntax of 'import pandas as pd'. Row Zero spreadsheets enable Python data analysis packages like pandas, polars, scipy, numpy, arrows, and duckdb. You can also import data packages and Python libraries in your spreadsheets like yfinance, pybaseball, and nfl-data-py.
Connect to all of your data
Row Zero lets you sync your spreadsheets to Postgres, Snowflake, Databricks, Redshift, and Amazon S3. Everything built on top of connected data stays in sync and automatically updates when source data is refreshed. This makes it easy to build auto-updating pivot tables, dashboards, charts, and workflows. Row Zero also seamlessly opens big data formats like parquet, .gz, and JSONL and massive CSVs too big for Excel.
ChatGPT + Python + Spreadsheet
The Python code window can be a conduit to leveraging AI chatbots like ChatGPT in spreadsheets. Simply ask ChatGPT to create Python spreadsheet functions for whatever you want to do in your spreadsheet and ChatGPT will give you the code to paste into the Python window and help you troubleshoot issues.
NOTE: Spreadsheet data cannot be referenced in the code window. The Python code window is for creating spreadsheet functions that perform complex computations or pull data through Python libraries, which can all be used in the spreadsheet. View our Python documentation for more info.
Big Data Alternative to Excel and G Sheets
Excel and Google Sheets struggle with big data analysis. Excel has a ~1 million row max and Google Sheets is 10M cells. Row Zero is built from the ground up for big data analysis with 5 key features:
- Big data power (billion+ rows)
- Built-in connections to data sources
- Native Python window
- Easily opens big data formats: parquet, .gz, JSONL, etc.
- Enterprise security and data governance
This is why Row Zero is the best Excel alternative and Google Sheets replacement for big data work.