a000298_approval, dave_user
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→Repository rating and releases
=== Repository rating and releases ===
Ratings in public repositories such as "stars" in GitHub are important because they serve as a measure of popularity and community interest in the project. When a repository achieves a good rating, it indicates that more developers and users find the project valuable and relevant. This can lead to several benefits:
* '''Visibility''': Repositories with good ratings are likely to appear higher in platform's search results, making it easier for others to discover and use the project.* '''Credibility''': High-rating repositories are often perceived as more trust-worthy and reliable, as they are vetted and endorsed by a larger user base.* '''Contributions''': Popular repositories tend to attract more contributions from developers, leading to a more active and vibrant community around the project.* '''Feedback''': Projects with good ratings are more likely to receive feedback, bug reports, and feature requests, helping the developers improve the software.* '''Maintenance''': Higher ratings can also stimulate the maintainers to keep the project updated and actively supported. Other important, rating-related aspects are the first and latest releases. Thanks to the latter, it is possible respectively to see the maturity of the framework and also how often it is updated, and thus the support behind it. Obviously, a framework that was born earlier than others is much more likely to have better ratings. Having this in mind, at the time of writing this thesis, the ranking in terms of received stars correlated with the first release for each framework is as follows:** '''PySyft''': 8.9k stars / Jan 19, 2020** '''FATE''': 5.1k stars / Feb 18, 2019** '''FedML''': 3.1k stars / Apr 30, 2022** '''Flower''': 2.8k stars / Nov 11, 2020 ** '''TFF''': 2.1k stars / Feb 20, 2019 ** '''OpenFL''': 567 stars / Feb 1, 2021 ** '''IBMFL''': 438 stars / Aug 28, 2020 ** '''NVFlare ''': 413 stars / Nov 23, 2021
These characteristics, although they certainly have a bearing on the choice of frameworks, were not enough to go so far as to discard any of the selected frameworks.