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+.
This UI kit is recommended for UI/UX designers, product managers, and developers who are involved in chatbot development and are seeking to accelerate their design workflow with professional-looking templates. It is also suitable for startups and design teams aiming to boost their productivity and efficiency in creating chat interfaces.
Based on our record, Pyspread seems to be more popular. It has been mentiond 6 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.
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 / 16 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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