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NumPy

Active
Libraries & SDKs Latest Version: 2.4.2 Latest Release: Jan 31, 2026

NumPy is the fundamental Python package for scientific computing with support for large, multi-dimensional arrays.

Versions

18

Latest Version

2.4.2

Active Support

5

EOL

13

Lifecycle Timeline

Today
2.4
2.4
2.3
2.3
2.2
2.2
2.1
2.1
2.0
2.0
1.26
1.26
1.25
1.25
1.24
1.24
1.23
1.23
1.22
1.22
Active SupportSecurity SupportEOL

Versions

ReleaseRelease DateActive SupportEOLLatest VersionLTSStatus
2.4Dec 20, 2025-Dec 21, 20272.4.2No
Active
2.3Jun 7, 2025-Jun 8, 20272.3.5No
Active
2.2Dec 8, 2024-Dec 9, 20262.2.6No
Active
2.1Aug 18, 2024-Aug 19, 20262.1.3No
Active
2.0Jun 16, 2024-Jun 17, 20262.0.2No
Active
1.26Sep 16, 2023-Sep 17, 20251.26.4No
EOL
1.25Jun 17, 2023-Jun 18, 20251.25.2No
EOL
1.24Dec 18, 2022-Dec 19, 20241.24.4No
EOL
1.23Jun 22, 2022-Jun 24, 20241.23.5No
EOL
1.22Dec 31, 2021-Jan 1, 20241.22.4No
EOL
1.21Jun 22, 2021-Jun 23, 20231.21.6No
EOL
1.20Jan 30, 2021-Jan 31, 20231.20.3No
EOL
1.19Jun 20, 2020-Jun 21, 20221.19.5No
EOL
1.18Dec 22, 2019-Dec 22, 20211.18.5No
EOL
1.17Jul 26, 2019-Jul 26, 20211.17.5No
EOL
1.16Jan 14, 2019-Jan 13, 20211.16.6No
EOL
1.15Jul 23, 2018-Jul 23, 20201.15.4No
EOL
1.14Jan 6, 2018-Jan 7, 20201.14.6No
EOL

Frequently Asked Questions

Which versions of NumPy have reached end of life?
The following NumPy versions have reached end of life and no longer receive security updates: 1.26, 1.25, 1.24, 1.23, 1.22, 1.21, 1.20, 1.19 (and 5 more). It is recommended to upgrade to a supported version.
Is it safe to continue using NumPy 1.26?
NumPy 1.26 has reached end of life and no longer receives security patches or bug fixes. Continuing to use it may expose your systems to known vulnerabilities. We strongly recommend upgrading to a supported version.
What is the latest version of NumPy?
The latest version of NumPy is 2.4.2, released in the 2.4 release cycle.
How many versions of NumPy are currently supported?
NumPy currently has 5 actively supported version(s): 2.4, 2.3, 2.2, 2.1, 2.0.
When does NumPy 2.4 reach end of life?
NumPy 2.4 is scheduled to reach end of life on Dec 21, 2027.
What should I do when NumPy reaches end of life?
When a NumPy version reaches end of life, you should: 1) Plan your migration to a supported version as soon as possible. 2) Review the release notes for breaking changes. 3) Test your applications thoroughly in a staging environment. 4) Update your dependencies to ensure compatibility with the new version.