Pyspread VS RowZero.io
Compare Pyspread VS RowZero.io and see what are their differences
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Pyspread
LibreOffice - Calc
Microsoft Office Excel
PySheets
Apple Numbers
Apache OpenOffice Calc
Excel Online
Gnumeric
RowZero.io
PySheets
Microsoft Office Excel
Sigma Computing
Google Sheets
LibreOffice - Calc
Apple Numbers
Spread32
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 the GPL v3 licence.
The latest release is pyspread v2.1.1. It requires Python 3.6+.
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 Zero’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 – 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.
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RowZero.io'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.
RowZero.io'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.
RowZero.io's answer:
Business teams that need to work with big data sets but prefer a spreadsheet over writing SQL or rigid BI tools.
RowZero.io'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.
RowZero.io's answer:
RowZero.io might be a bit more popular than Pyspread. We know about 7 links to it since March 2021 and only 7 links to Pyspread. 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.
For an implementation which pushes that to the extreme see: https://pyspread.gitlab.io/. - Source: Hacker News / 4 months ago
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 per se, but a better interface which will scale to larger datasets and which reduces the likelihood of logical errors --- Quantrix, based on Lotus Improv is one of the few to do this. - Source: Hacker News / 4 months ago
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 solution to this sort of thing. - Source: Hacker News / over 1 year ago
For a non-browser python based spreadsheet application: https://pyspread.gitlab.io/. - Source: Hacker News / over 1 year ago
Or, you could use pyspread and list comprehensions for a similar effect: https://pyspread.gitlab.io/ https://pyspread.gitlab.io/manual/advanced_topics.html. - Source: Hacker News / almost 2 years ago
How large are you talking about? Have you tried https://rowzero.io? - Source: Hacker News / 3 days ago
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 / 11 months ago
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 / about 1 year ago
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 / over 1 year ago
I think calling out Durability is a bit of a straw man. Most services get their durability from S3 or some other managed database service. I agree with the other points for production services with the caveat that many workloads don't need all of those. Internal workloads or batch data processing use cases don't need 4 9's of availability. "Just do it on a beefy machine" is part of our thesis for... - Source: Hacker News / over 1 year ago
LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.
PySheets - The Spreadsheet UI for Python. Load data and use AI to generate Python code to perform data exploration.
Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.
Sigma Computing - Sigma is the only BI analytics tool purpose-built for your cloud data warehouse. Uniquely scalable, with an experience you already know: the spreadsheet.
Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.
Google Sheets - Synchronizing, online-based word processor, part of Google Drive.