Thanks to maintainers working on projects like numpy, you can use Tidelift to give your teams access to a continuously curated stream of validated data about vetted components they need to make intelligent decisions, faster.
You can feel confident bringing numpy into your application’s dependency tree because the maintainers of numpy are paid by Tidelift to ensure their open source projects follow standardized secure software development practices.
NumPy is the fundamental package for scientific computing with Python. With NumPy, you get:
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Tidelift has partnered with NumFOCUS to support important projects in the Python data science and scientific computing ecosystem, like NumPy. We've partnered with the maintainer of NumPy to offer maintenance, code improvement, security updates, and more. You can learn more about the partnership with NumFOCUS here.
You can learn more on the NumPy website.
Tidelift takes a unique, data driven approach to addressing the issue of bad packages. Tidelift partners with the maintainers of thousands of the most-relied-upon open source packages and pays them to implement industry-leading secure software development practices and document the practices they follow. The result is a unique source of cross-ecosystem package intelligence that customers use to identify and eliminate bad packages.
Tidelift’s package intelligence can be easily integrated into your preferred workflows using our flexible APIs or by adopting our web UI and CLI capabilities.
jackson-databind
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urllib3
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Pillow
Jordan Harband
Mongoose
Apache Commons
Improve the overall health and resilience of the open source you rely on so you can reduce the chances of being impacted by the next xz utils backdoor or Log4Shell.
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