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+.
Python Integration
Pyspread utilizes Python as its scripting language, allowing users to employ Python functions and libraries directly within the spreadsheet, enabling advanced data manipulation and analysis.
Free and Open Source
Being open-source, Pyspread is free to use and modify, encouraging customization and community-driven improvements without any licensing costs.
Matrix Handling
Pyspread is designed to handle cells as matrices, which can be beneficial for performing mathematical and scientific calculations more efficiently.
Cross-platform
Pyspread is cross-platform, meaning it can run on various operating systems, such as Windows, macOS, and Linux, providing flexibility for users across different systems.
We have collected here some useful links to help you find out if Pyspread is good.
Check the traffic stats of Pyspread on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Pyspread on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Pyspread's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Pyspread on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Pyspread on Reddit. This can help you find out how popualr the product is and what people think about it.
For an implementation which pushes that to the extreme see: https://pyspread.gitlab.io/. - Source: Hacker News / 2 days 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 / 27 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
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 2 years ago
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