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NumPy
Active
Libraries & SDKsLatest Version: 2.5.2Latest Release: Aug 9, 2026
NumPy is the fundamental Python package for scientific computing with support for large, multi-dimensional arrays.
Support summary
NumPy currently has supported cycles. Track the next EOL date and validate upgrades before your change window.
What do EOL and support statuses mean?Next EOL
Dec 9, 2026
NumPy 2.2 · 110 days left
Supported cycles
4
0 lts
Versions
19
Latest Version
2.5.2
Active Support
4
EOL
15
Lifecycle Timeline
Today ↓
2.5
2.5
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
Active SupportSecurity SupportEOL
Versions
| Release | Release Date | Active Support | EOL | Latest Version | LTS | Status |
|---|---|---|---|---|---|---|
| 2.5 | Jun 21, 2026 | Yes | Jun 22, 2028 | 2.5.2 | No | Active |
| 2.4 | Dec 20, 2025 | Yes | Dec 21, 2027 | 2.4.6 | No | Active |
| 2.3 | Jun 7, 2025 | Yes | Jun 8, 2027 | 2.3.5 | No | Active |
| 2.2 | Dec 8, 2024 | Yes | Dec 9, 2026 | 2.2.6 | No | Active |
| 2.1 | Aug 18, 2024 | No | Aug 19, 2026 | 2.1.3 | No | EOL |
| 2.0 | Jun 16, 2024 | No | Jun 17, 2026 | 2.0.2 | No | EOL |
| 1.26 | Sep 16, 2023 | No | Sep 17, 2025 | 1.26.4 | No | EOL |
| 1.25 | Jun 17, 2023 | No | Jun 18, 2025 | 1.25.2 | No | EOL |
| 1.24 | Dec 18, 2022 | No | Dec 19, 2024 | 1.24.4 | No | EOL |
| 1.23 | Jun 22, 2022 | No | Jun 24, 2024 | 1.23.5 | No | EOL |
| 1.22 | Dec 31, 2021 | No | Jan 1, 2024 | 1.22.4 | No | EOL |
| 1.21 | Jun 22, 2021 | No | Jun 23, 2023 | 1.21.6 | No | EOL |
| 1.20 | Jan 30, 2021 | No | Jan 31, 2023 | 1.20.3 | No | EOL |
| 1.19 | Jun 20, 2020 | No | Jun 21, 2022 | 1.19.5 | No | EOL |
| 1.18 | Dec 22, 2019 | No | Dec 22, 2021 | 1.18.5 | No | EOL |
| 1.17 | Jul 26, 2019 | No | Jul 26, 2021 | 1.17.5 | No | EOL |
| 1.16 | Jan 14, 2019 | No | Jan 13, 2021 | 1.16.6 | No | EOL |
| 1.15 | Jul 23, 2018 | No | Jul 23, 2020 | 1.15.4 | No | EOL |
| 1.14 | Jan 6, 2018 | No | Jan 7, 2020 | 1.14.6 | No | EOL |
Data sources
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: 2.1, 2.0, 1.26, 1.25, 1.24, 1.23, 1.22, 1.21 (and 7 more). It is recommended to upgrade to a supported version.
Is it safe to continue using NumPy 2.1?
NumPy 2.1 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 2.5.2, released in the 2.5 release cycle.
How many versions of NumPy are currently supported?
NumPy currently has 4 actively supported version(s): 2.5, 2.4, 2.3, 2.2.
When does NumPy 2.5 reach end of life?
NumPy 2.5 is scheduled to reach end of life on Jun 22, 2028.
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.