Pyspread VS Sheetson

• Python Integration
  Pyspread utilizes Python as its scripting language, allowing users to employ Python functions and libraries directly within the spreadsheet, enabling advanced data manipulation and analysis.
• Free and Open Source
  Being open-source, Pyspread is free to use and modify, encouraging customization and community-driven improvements without any licensing costs.
• Matrix Handling
  Pyspread is designed to handle cells as matrices, which can be beneficial for performing mathematical and scientific calculations more efficiently.
• Cross-platform
  Pyspread is cross-platform, meaning it can run on various operating systems, such as Windows, macOS, and Linux, providing flexibility for users across different systems.

Possible disadvantages

• Steep Learning Curve
  Due to its integration with Python, Pyspread may have a steep learning curve for users unfamiliar with programming, potentially restricting its accessibility.
• Limited User Community
  Compared to more established spreadsheet software, Pyspread has a smaller user community, which may result in less available third-party support and resources.
• Basic User Interface
  The user interface of Pyspread might not be as polished or feature-rich as mainstream spreadsheet applications, which could affect user experience and efficiency.
• Performance Limitations
  As a lightweight application, Pyspread may struggle with extremely large datasets or complex calculations, resulting in performance bottlenecks.

• Ease of Use
  Sheetson enables users to interact with Google Sheets as a RESTful API endpoint, making it straightforward for developers to integrate spreadsheet data into their applications without complex setup.
• No Authentication Required
  Unlike many other services, Sheetson does not require OAuth for access, simplifying the initial setup and usage.
• Real-time Data
  Data in Google Sheets can be updated in real-time and Sheetson APIs can instantly reflect these updates, providing up-to-date information without delay.
• Cost-Effective
  Sheetson offers a free tier, making it an affordable option for small projects and startups needing basic interaction with Google Sheets.
• Flexible Integration
  Sheetson supports a broad range of programming languages and can be used in various types of applications, from websites to mobile apps.

• Make little apps for you and your friends

  For an implementation which pushes that to the extreme see: https://pyspread.gitlab.io/. - Source: Hacker News / over 1 year ago

• Comparison of Spreadsheet Software

  Curious why Quantrix Financial Modeler wasn't included? https://quantrix.com/products/quantrix-modeler pyspread would be another interesting comparison: https://pyspread.gitlab.io/ Really though, spreadsheets don't so much need features... - Source: Hacker News / over 1 year ago

• Ask HN: Modern Day Equivalent to HyperCard?

  That sort of thing makes me wonder why pyspread isn't more popula: https://pyspread.gitlab.io/ and if mito will become popular: https://www.trymito.io/ and whether maybe Jupyter Notebooks aren't the... - Source: Hacker News / over 2 years ago

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• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Sheetson - Instantly turn any Google Sheets into a RESTful API. Free plan available. - Source: dev.to / over 2 years ago

• Google sheets API.

  Have you considered using a tool to turn your Spreadsheet into API like restsheet.com, sheet2api.com, sheetson.com, or sheet.best? Source: over 3 years ago

• How to read data from Google Sheets using Sheetson

  To start, go to the website of the service Sheetson , register with your google account in the "Get Started" button under the free account. - Source: dev.to / almost 4 years ago

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