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grappa VS Row Zero

Compare grappa VS Row Zero and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

grappa logo grappa

grappa is an declarative, verbose, and expressive assertion library for Python.

Row Zero logo 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.
  • grappa Landing page
    Landing page //
    2022-11-06
  • Row Zero 31 million rows in a spreadsheet
    31 million rows in a spreadsheet //
    2024-04-25
  • Row Zero Import from data warehouses
    Import from data warehouses //
    2024-04-25
  • Row Zero Pivot tables
    Pivot tables //
    2024-04-25
  • Row Zero point and click graphing
    point and click graphing //
    2024-04-25
  • Row Zero write and execute python
    write and execute python //
    2024-04-25

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 multi-user collaboration to make working with hosted data easy for anyone with spreadsheet skills. Because Row Zero spreadsheets run in the cloud, they eliminate the security risk of CSV exports and locally stored Excel spreadsheets. Row Zero closes the last-mile analysis gap helping business teams take insights from dashboards and turn them into actionable results.

Row Zero Features:

Speed and Performance - Row Zero is a spreadsheet that leverages cloud computing strategies to enable users to import, open, and interact, cell-by-cell, with 1 billion row data sets, like they would in Excel and Google Sheets but on a larger scale.

Connectivity - Row Zeroโ€™s native connections to data warehouses provide efficiency gains for business teams who, instead of building one-off static analyses, like financial models and demand forecasts, can build them once using a connected table and schedule automated refresh. Row Zero also enables saving data from the spreadsheet to the data warehouse.

Collaboration - In order for data analysis to be valuable the work must be shared across teams, business units, and organizations. For this reason, Row Zero workbooks can be shared with viewer and editor permissions and support real-time collaboration for group work and facilitating efficient presentations.

Governance โ€“ Row Zero runs in the cloud, enables sharing permissions (viewer and editor), and enforces data permissions from the data warehouses, eliminating the security risk of downloaded CSVs and emailed .xlsx files.

Security - Row Zero is SOC2 Type II certified and HIPAA compliant. The SOC II report and a BAA are available upon request.

grappa

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Categories
#Testing #Python
Edit details

Row Zero

Website
rowzero.com
Pricing URL
Official Row Zero Pricing
$ Details
freemium $10 / Monthly (Pro)
Release Date
2024 February
Startup details
Country
United States
State
WA
City
Seattle
Founder(s)
Breck Fresen, Nick End, William Littlefield, Grant Slatton
Employees
10 - 19
Edit details

grappa features and specs

  • Expressive Assertions
    Grappa provides a rich set of expressive assertions which allow for writing readable and concise test cases.
  • Chainable Syntax
    The library supports a chainable syntax that can improve the readability and maintainability of test assertions.
  • Integration
    Grappa can be integrated with multiple testing frameworks, such as Pytest, which can make it easier to incorporate into existing test suites.
  • Extensibility
    The framework supports custom matchers, allowing developers to extend the library's functionality tailored to their specific needs.

Possible disadvantages of grappa

  • Learning Curve
    For developers new to the library, there may be a learning curve associated with understanding the syntax and capabilities of Grappa.
  • Documentation
    Depending on the state of the project, the documentation may not be comprehensive, potentially making it challenging for new users to learn.
  • Community Support
    As a niche library, Grappa might not have as large a community or support as some more widely used testing frameworks.
  • Maintenance
    Open-source projects can sometimes experience slower development and updates, which could impact long-term usability if the project becomes less actively maintained.

Row Zero features and specs

  • 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.

Analysis of grappa

Overall verdict

  • Grappa is a solid, mature parsing library for the JVM that lets developers build parsers directly in Java using a fluent, PEG-based (Parsing Expression Grammar) approach without needing a separate grammar file or code generation step.

Why this product is good

  • Uses Parsing Expression Grammars (PEG), which are unambiguous and easier to reason about than traditional context-free grammars
  • Grammars are written in pure Java as a fluent DSL, so there's no external grammar file or code-generation build step
  • Integrates naturally into existing Java/JVM projects and tooling
  • Supports parser actions, error recovery, and value stack manipulation for building ASTs
  • Successor to the popular Parboiled library, benefiting from lessons learned in that project
  • Open source and hostable/inspectable directly on GitHub

Recommended for

  • Java and JVM developers who want to build parsers without learning a separate grammar language
  • Projects needing custom domain-specific languages (DSLs) or configuration formats
  • Developers who prefer PEG semantics over ambiguous CFG-based tools like ANTLR
  • Teams that want parser logic kept inline in their codebase rather than generated
  • Prototyping and small-to-medium parsing tasks where fluent Java code is convenient

grappa videos

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Row Zero videos

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Row Zero - The world's fastest spreadsheet

More videos:

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

Category Popularity

0-100% (relative to grappa and Row Zero)

grappa

Row Zero

Testing
100 100%
Testing
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Python
100 100%
Python
0% 0
Productivity
0 0%
Productivity
100% 100

Questions & Answers

As answered by people managing grappa 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 grappa and Row Zero. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Row Zero seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

grappa mentions (0)

We have not tracked any mentions of grappa yet. Tracking of grappa recommendations started around Mar 2021.

Row Zero mentions (8)

  • ChatGPT for Excel
    Try https://rowzero.com ? We have written a much faster spreadsheet engine and regularly work with 10M+ row datasets. - Source: Hacker News / 4 months ago
  • I only use Google Sheets
    How large are you talking about? Have you tried https://rowzero.io? - Source: Hacker News / 11 months ago
  • 'I grew up with it': readers on the enduring appeal of Microsoft Excel
    You should check out Row Zero (https://rowzero.io). We launched on HN earlier this year. Our CSV handling is the best on the market. You can import multi GB csvs, we auto infer your format, and land your data in a full-featured spreadsheet that supports filter, sort, ctrl-F, sharing, graphs, the full Excel formula language, native Python, and export to Postgres, Snowflake, and Databricks. - Source: Hacker News / almost 2 years ago
  • Ask HN: What are you working on (August 2024)?
    I've been working on a better spreadsheet for a while now. https://rowzero.io is 1000x faster spreadsheet than Excel/Google Sheets. It looks and feels like those products but can open multi GB data sets, supports Python natively, and can also connect directly to Snowflake/Databricks/Redshift. - Source: Hacker News / almost 2 years ago
  • My Thoughts on Python in Excel
    We built our spreadsheet (https://rowzero.io) from the ground up to integrate natively with Python. Bolting it on like Microsoft did, or as an add in like xlwings, just feels second class. To make it first class, we had to solve three hard problems: 1. Sandboxing and dependencies. Python is extremely unsafe to share, so you need to sandbox execution. There's also the environment/package management problem (does... - Source: Hacker News / about 2 years ago
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What are some alternatives?

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

assertpy - A straightforward assertion library for Python.

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

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