Row Zero is a last-mile analytics tool that enables operations, finance, marketing, and other business teams to analyze and work with big data sets in a familiar and flexible spreadsheet designed for big data. 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. 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 has adapted state-of-the-art columnar analytics techniques to a spreadsheet interface and 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.
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.
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 need to email .xlsx files. Security - Row Zero is SOC2 Type II certified and HIPAA compliant. The SOC II report and a BAA are available upon request.
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+.
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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
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.
Based on our record, Pyspread should be more popular than RowZero.io. It has been mentiond 5 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.
Shameless plug: If you have bigger data sets, check out https://rowzero.io We scale up to hundreds of millions of rows and have native Python support. You can define functions in Python and call them as formulas from any spreadsheet cell. We seamlessly marshal Pandas dataframes from Python land to spreadsheet land and back. [1] We're also hosted and support real time collaboration like Google Sheets. We... - Source: Hacker News / 26 days 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 / about 1 month ago
For a non-browser python based spreadsheet application: https://pyspread.gitlab.io/. - Source: Hacker News / about 1 month 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 / 8 months ago
It'll certainly be a lot easier and more accessible than pyspread: https://pyspread.gitlab.io (which I wish was more widely known/used). - Source: Hacker News / 9 months ago
There's https://pyspread.gitlab.io/, which uses python. On the more programmable side you've got Jupyter with https://github.com/ipyflow/ipyflow. - Source: Hacker News / about 1 year ago
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