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Pyspread VS Row Zero

Compare Pyspread VS Row Zero and see what are their differences

Pyspread

pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python.

Rating
0 reviews
Alternatives Is it good?
Row Zero

Row Zero is the best spreadsheet for big data. Row Zero has all the spreadsheet features you know and love, but can handle 1+ billion rows, process data faster, connect live to your data warehouse and supports sharing.

Rating
0 reviews
Pricing
Freemium $10 / Monthly (Pro)
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored

Which is more popular?

Row Zero might be a bit more popular than Pyspread. We know about 8 links to it since March 2021 and only 7 links to Pyspread.

social mentions
7 vs 8
Spreadsheets popularity
48% vs 52%
alternatives listed
11 vs 54

Base details

Website, pricing, platforms and company facts side by side.

Pyspread
Row Zero
Website pyspread.gitlab.io rowzero.com
Pricing —
Freemium $10 / Monthly (Pro) Official pricing
Company 2022 Startup from the United States · 10 - 19 employees · 2024
Listed in
Spreadsheets Office Suites Project Management Data Analysis +1
Spreadsheets Data Analysis Analytics Productivity +1

About Pyspread and Row Zero

In their own words, as submitted to SaaSHub.

Pyspread
Row Zero

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. pyspread is free software. It is released under...

Read more about Pyspread

Row Zero is the best spreadsheet for big data. It enables operations, finance, marketing, and other business teams to securely analyze and work with big data sets in a familiar and flexible spreadsheet. Row Zero can open 1 billion row data sets, connect directly to data warehouses, and support...

Read more about Row Zero

Features and specs

What each product offers, as listed by its team.

Pyspread 4 features
Row Zero 8 features
  • 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.
  • Spreadsheet functions
    Use all the same spreadsheet functions available in Excel and Google Sheets.
  • Performance
    Upload billion row data sets and work with them in a spreadsheet.
  • Collaboration
    Share with viewer and editor permissions and use real-time collaboration.
  • Connectivity
    Connect to you cloud data warehouse to import data directly to the spreadsheet.
  • Pivot tables
    Pivot and analyze large data sets.
  • Graphing
    A point and click graphing UI.
  • Python
    Write python in the code window and execute it in the spreadsheet.
  • Security
    Eliminate the security risk of CSV downloads and emailed .xlsx files. Row Zero keeps your sensitive data in the cloud.

Videos

Walkthroughs and reviews on video.

Pyspread 0 videos + Add
Row Zero 8 videos + Add

No Pyspread videos yet. You could help us improve this page by suggesting one.

Row Zero - The world's fastest spreadsheet

More videos

  • - Open Parquet files with Row Zero
  • - Open a Big CSV with Row Zero
  • - Connect Postgres to Row Zero
  • - Connect Snowflake to Row Zero
  • - Connect Databricks to Row Zero
  • - Export data from a Row Zero spreadsheet to Databricks
  • - Export data from a Row Zero spreadsheet to Snowflake

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Pyspread
Row Zero
48% 48%
Spreadsheets
52% 52%
100% 100%
Office Suites
0% 0%
0% 0%
Productivity
100% 100%
100% 100%
Project Management
0% 0%

Questions & Answers

As answered by people managing Pyspread and Row Zero.

Why should a person choose your product over its competitors?

Row Zero's answer:

Row Zero is the world's fastest spreadsheet, designed for big data sets. If a user already knows how to use a spreadsheet and needs to analyze or transform large data sets, Row Zero is the perfect tool. Data teams that serve large businesses can off-load ad-hoc and last mile analytics requests by enabling their business partners to work in Row Zero.

What makes your product unique?

Row Zero's answer:

Row Zero's is a last mile analytics tool that enables business teams (marketing, operations, finance, etc...) to connect to cloud data warehouses and work with big data sets in a spreadsheet they already know how to use. BI tools are great for high level metric monitoring but the work initiated as a result of those dashboards needs to happen in a tool where business teams can see and interact with their data.

How would you describe the primary audience of your product?

Row Zero's answer:

Business teams that need to work with big data sets but prefer a spreadsheet over writing SQL or rigid BI tools.

What's the story behind your product?

Row Zero's answer:

Row Zero was born out of our own frustrations doing data analysis on big data sets. Excel and Google Sheets don't easily connect to cloud data warehouses and have small row limits. We needed to open multi-million row data sets and analyze them quickly. Row Zero is the highly performant tool we wish we'd had.

Which are the primary technologies used for building your product?

Row Zero's answer:

  • Rust
  • Python
  • Amazon Web Services

User comments

Share your experience with using Pyspread and Row Zero. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Pyspread 7 mentions
Row Zero 8 mentions
  • 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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Alternatives to Pyspread and Row Zero

When comparing Pyspread and Row Zero, you can also consider the following products.

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