Open Source Python Spreadsheet Software

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility that can handle millions of rows with ease. A terminal interface for exploring and arranging tabular data. VisiData supports tsv, CSV, SQLite, JSON, xlsx (Excel), hdf5, and many other formats. Requires Linux, OS/X, or Windows (with WSL). Hundreds of other commands and options are also available; see the documentation. Code in the stable branch of this repository, including the main vd application, loaders, and plugins, is available for use and redistribution under GPLv3. VisiData is a free, open-source tool that lets you quickly open, explore, summarize, and analyze datasets in your computer’s terminal. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Generating Excel 97+ files with Python 2.4+ (need decorators), importing Excel 95+ files, support for UNICODE in Excel files, using variety of formatting features and printing options, Excel files and OLE2 compound files dumper. No need in Windows/COM

An Excel addin and server framework for implementing remote excel user-defined functions (UDFs). This framework is designed to provide a centralised warehouse of functions for Excel users (eg. within an organisation).

KherveSheet is a desktop spreadsheet application for scientists, built in Python and running on Windows. Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. An integrated AI assistant can generate the cell code from a plain-language description if needed. Learn by doing with 300 ready-made scientific examples covering plotting, data analysis, fitting and simulation. Built entirely in Python, KherveSheet adds a familiar Excel-style grid, an optimisation solver, and a native .ksheet format with CSV and Excel import/export. Runs on Windows.

iTelliHashExcel is a cryptographic “one-way” hashing application designed to securely protect sensitive or private information from disclosure. Proper use of this program allows organizations, businesses, and individuals (i.e., the data owners) to share complete/intact datasets containing sensitive data with others without actually disclosing the sensitive or private information. Additionally, if such datasets are subsequently modified or enhanced through value-added services or products provided by other organizations or individuals and then returned, the data owner retains the ability to “re-map” the hashed sensitive data values back to their original values.

The csvdatamix project aims to randomize CSV input data files in order to conceal the original state of the data. Similar to data masking or data transformation. Also has mapping abilities to translate back to the original state of the data.

Disa is an ip based geo locator project. that uses data from http://www.hostip.info/

gspread is a Python API for Google Sheets. A service account is a special type of Google account intended to represent a non-human user that needs to authenticate and be authorized to access data in Google APIs [sic]. Since it’s a separate account, by default it does not have access to any spreadsheet until you share it with this account. Just like any other Google account. To access spreadsheets via Google Sheets API you need to authenticate and authorize your application. Older versions of gspread have used oauth2client. Google has deprecated it in favor of google-auth. If you’re still using oauth2client credentials, the library will convert these to google-auth for you, but you can change your code to use the new credentials to make sure nothing breaks in the future. If you familiar with the Jupyter Notebook, Google Colaboratory is probably the easiest way to get started using gspread.

NovaGrid is a light spreadsheet made with Python / Tkinter, based on Tktable. The objective of this project is to have a light spreasheet python object which can be used into larger projects. The code is totaly written in Python (actualy 2.2.2).

Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.

OpenOffice.org Utility Library modules for creating Open Document Format (ODF) documents which can be read by Office Suites including OpenOffice.org, LibreOffice.org, and Microsoft Office. Currently, ooolib-python can create Calc spreadsheet ODS documents. These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics, underline, font size, font color, background color, etc.) - Set column and row attributes including width and height I am currently hosting the new development code at the following URL: https://github.com/josephcolton/ooolib-python I will be posting releases here on SourceForge as well as GitHub, so you can come to either place for the releases. The newest code will only be available using Git on GitHub.

The main purpose of "python2xlw" is to create an Excel-compatible file which can be sent to users via the web as an excel application. The motivation is mainly to support the display of XY Scatter plots and tabular numerical data(eg engineering data)

PythonOffice is a Python API for the Ms XML (Excel) Spreadsheet format. It allows you to read and write Excel XML documents from within the Python programming language. In future, support for other formats is planned, including OOo, Ms Open Xml.

Addition to payment system Cyberplat (http://cyberplat.com). Provide monitoring by browser, include PDA.

pyXLWriter is a Python library for generating Excel compatible spreadsheets. It's a port of John McNamara's Perl Spreadsheet::WriteExcel 1.0 module (see http://www.cpan.org) to Python. Requires Python 2.1+. [Project was stopped]

Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy (>=1.1.0) + wxPython (>=2.8.10.1, Unicode version required) + matplotlib (>=1.1.1) + pycairo (>=1.8.8) Optional dependencies + python-gnupg (>=0.3.0, for opening own files without approval) + xlrd (>=0.9.2, for loading Excel® files) + xlwt (>=0.9.2, for saving Excel files, pyspread >=v0.3.0 required) + jedi (>=0.8.0, for tab completion and context help in the entry line, pyspread >=v0.3.0 required) + basemap (>=1.0.7, for the weather example pys file)

Simple pure python spreadsheet class with ods export