Best Spreadsheet Software for Python

Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.

Row Zero is the best spreadsheet for big data. Row Zero is similar to Excel and Google Sheets, but can handle 1+ billion rows, process data much faster, and connect live to your data warehouse and other data sources. Built-in connectors include Snowflake, Databricks, Redshift, Amazon S3, and Postgres. Row Zero spreadsheets are powerful enough to pull entire database tables into a spreadsheet, letting anyone build live pivot tables, charts, models, and metrics on data from your data warehouse. With Row Zero, you can easily open, edit, and share multi-GB files (CSV, parquet, txt, etc.) Row Zero also offers advanced security features and is cloud-based, empowering organizations to eliminate ungoverned CSV exports and locally stored spreadsheets from their org. Row Zero has all of the spreadsheet features you know and love, but was built for big data. If you know how to use Excel or Google Sheets, you can get started with ease. No training required.

Join the thousands of analysts who have saved themselves hours of repetitive work at the largest banks in the world. Stop waiting for IT support or attending Python trainings. Automate your code using the tools that you already know. Describe your edits using plain English. AI-powered chatbots already perform simple data transformations faster than any other method. But for transformations like pivot tables that require a lot of configuration and iteration in spreadsheets, they are still easier. The more your AI knows about the data and analysis you've done, the more likely it is that the code generated will be useful. Spreadsheets can provide the AI with the context they need because they understand the data's structure and content, as well as the edit history.

Luminal lets you use the power of Python to process spreadsheets without the complexity. Cleanse, transform or analyse large amounts of data with nothing more than natural language. Luminal supports Python. Perform powerful cleaning operations, create beautiful visualizations and answer sophisticated questions. Save time by not manually processing data in Excel, or writing Python scripts to do the job. Let Luminal handle it for you and save hours. We place a high priority on protecting our customers' data, and we strictly adhere to security regulations. Our company culture is centered around ensuring the security of our customers' information.

Quadratic allows your team to collaborate on data analysis and deliver faster results. You're already familiar with spreadsheets, but this is the first time you have had so much power. Quadratic is fluent in Formulas, Python and SQL (JavaScript & SQL coming soon). Use the language that you and your team are already familiar with. Single-line formulas can be difficult to read. Quadratic allows you to expand your recipes as many times as you want. Quadratic comes with Python library support. Bring the latest open source tools to your spreadsheet. The last line of the code is returned to your spreadsheet. By default, raw values, 1/2D arrays and Pandas DataFrames can be used. Quadratic updates its cells automatically when data is pulled or fetched from an external API. Zoom out to see the big picture and zoom in for the details. Arrange your data and navigate it the way you see it in your mind, not as a tool would have it.