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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Based on our record, React seems to be a lot more popular than Pyspread. While we know about 814 links to React, we've tracked only 6 mentions of 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.
One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories. - Source: dev.to / 21 days ago
Next.js is a very popular framework built on top of the React.js library and it provides the best Development Experience for building applications. It offers a bunch of features like:. - Source: dev.to / about 1 month ago
Explore the official React documentation. - Source: dev.to / about 2 months ago
We’ll be creating the components package inside the packages directory. In this monorepo package, we’ll be building React components which will be consumed by our Next.js application (front-end package). - Source: dev.to / about 2 months ago
After evaluating our options including upgrading from AngularJS to Angular (the name for every version of Angular 2 and beyond) or migrating and rewriting our application in a completely new JavaScript framework: React. We ultimately chose to go with ReactJS. - Source: dev.to / about 2 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 / 2 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 year ago
For a non-browser python based spreadsheet application: https://pyspread.gitlab.io/. - Source: Hacker News / about 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 / over 1 year 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 / almost 2 years ago
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