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pyspread
Python-powered spreadsheet for advanced data analysis and automation

pyspread
Free

Home: https://pyspread.gitlab.io

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What is pyspread?

pyspread is a versatile, non-traditional spreadsheet application designed for users proficient in or eager to learn Python. Unlike conventional spreadsheets, it allows direct input of Python expressions in grid cells, where each cell returns a Python object that can be accessed or manipulated from other cells. This approach eliminates the need for a specialized spreadsheet language and greatly expands the application’s flexibility.

pyspread offers seamless integration with Python modules such as NumPy, supports importing and exporting various file formats (CSV, SVG, XLSX, PDF), and enables the inclusion of charts via Matplotlib or R graphical packages. Its security features include blake2b-based file signatures, and the application is suitable for tasks ranging from scientific analysis to business data management.

Features

  • Python Code in Cells: Write and execute Python expressions directly within spreadsheet cells.
  • Python Module Access: Import and utilize modules like NumPy for powerful computations.
  • Flexible File Support: Import CSV, SVG, XLSX; export CSV, SVG, PDF.
  • Rich Content Display: Show text, markup, images, dates, and charts in cells.
  • Chart Integration: Support for Matplotlib and R charts via various packages.
  • Spell Checker: Integrated spell check for data verification.
  • Secure File Signatures: blake2b-based signatures prevent unauthorized code execution.
  • Git-Aware Save Format: pysu save format is version control friendly.

Use Cases

  • Scientific analysis with custom Python scripts.
  • Business decision modeling using advanced calculations.
  • Educational tool for learning Python through interactive spreadsheets.
  • Data visualization using integrated charting libraries.
  • Automating repetitive spreadsheet tasks with Python code.
  • Unit testing data manipulation and analysis routines.

FAQs

  • Which platforms or Python versions are supported?
    pyspread requires Python 3.6 or higher for the latest releases, and source code is available under GPL v3 licence.
  • Can external Python modules be used within spreadsheet cells?
    Yes, pyspread allows importing and using Python modules, such as NumPy and custom user-built modules, directly within grid cells.
  • Does pyspread support chart creation within spreadsheets?
    Yes, charts can be created using Matplotlib and various R graphical packages, including ggplot2, lattice, and plotnine.
  • What file formats can be imported and exported?
    pyspread supports importing CSV, SVG, and XLSX files, and exports to CSV, SVG, and PDF formats.
  • Who is pyspread best suited for?
    The tool is ideal for users with Python experience who require customized, programmatic spreadsheet data analysis and functionality beyond traditional spreadsheet applications.

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