Numpy End of Life Dates

Developers rely on Numpy, a library for working with arrays and mathematical operations in Python, which has been a cornerstone of scientific computing since its creation. The NumPy project is maintained by a community of developers who contribute to its ongoing development and support. Numpy was first released in 2005 and has been widely adopted in various fields, including data analysis, machine learning, and scientific research. Its widespread use can be attributed to its ability to provide support for large, multi-dimensional arrays and matrices, and its extensive library of high-level mathematical functions.

The end-of-life landscape for Numpy is characterized by a total of 18 versions, with 13 of these versions having already reached their end-of-life. Currently, there are 5 active versions of Numpy, with the latest stable version being 2.0.2. The next version to expire is 2.0, which will reach its end-of-life on 2026-06-17, giving developers a clear deadline to plan their upgrades. The most recent version to reach its end-of-life was 1.26, which expired on 2025-09-17. This information is crucial for developers who need to ensure they are using supported versions of Numpy to avoid potential security risks and compatibility issues.

The security picture for Numpy is currently favorable, with a total of 0 CVEs tracked and 0 critical CVEs reported. As a result, there is no most affected version, and the library is not currently listed on the Known Exploited Vulnerabilities catalog. Given the absence of known security vulnerabilities, developers can continue to use Numpy with confidence, but it is still essential to keep track of end-of-life dates and plan upgrades accordingly to ensure ongoing support and maintenance. By staying informed about Numpy's end-of-life dates and supported versions, developers can minimize potential risks and ensure the continued stability and security of their applications.