Numpy · Lifecycle Status

Numpy End of Life (EOL) Dates & Support Timeline

Complete end-of-life dates, support windows, and security status for all Numpy versions. Data sourced from endoflife.date and official vendor documentation. Updated at every deploy.

Numpy 2.0 reaches end of life on June 17, 2026. Plan your migration now — 39 days remaining.
Latest Active
2.2.6
2.2 series
Next EOL
2.0
Jun 17, 2026
Active Versions
3
of 18 total
EOL Versions
13
no longer patched
Release Cycle Timeline
EOL   Warning   Active   Today
Release cycle timeline 201820192020202120222023202420252026202720281.141.151.161.171.181.191.201.211.221.231.241.251.262.02.12.22.32.4TODAY
All Versions
VersionLatest ReleaseRelease DateEOL DateDaysStatus
1.14 1.14.6 Jan 6, 2018 Jan 7, 2020 2314 days past EOL EOL
1.15 1.15.4 Jul 23, 2018 Jul 23, 2020 2116 days past EOL EOL
1.16 1.16.6 Jan 14, 2019 Jan 13, 2021 1942 days past EOL EOL
1.17 1.17.5 Jul 26, 2019 Jul 26, 2021 1748 days past EOL EOL
1.18 1.18.5 Dec 22, 2019 Dec 22, 2021 1599 days past EOL EOL
1.19 1.19.5 Jun 20, 2020 Jun 21, 2022 1418 days past EOL EOL
1.20 1.20.3 Jan 30, 2021 Jan 31, 2023 1194 days past EOL EOL
1.21 1.21.6 Jun 22, 2021 Jun 23, 2023 1051 days past EOL EOL
1.22 1.22.4 Dec 31, 2021 Jan 1, 2024 859 days past EOL EOL
1.23 1.23.5 Jun 22, 2022 Jun 24, 2024 684 days past EOL EOL
1.24 1.24.4 Dec 18, 2022 Dec 19, 2024 506 days past EOL EOL
1.25 1.25.2 Jun 17, 2023 Jun 18, 2025 325 days past EOL EOL
1.26 1.26.4 Sep 16, 2023 Sep 17, 2025 234 days past EOL EOL
2.0 2.0.2 Jun 16, 2024 Jun 17, 2026 39 days remaining Warning
2.1 2.1.3 Aug 18, 2024 Aug 19, 2026 102 days remaining Warning
2.2 2.2.6 Dec 8, 2024 Dec 9, 2026 214 days remaining Active
2.3 2.3.5 Jun 7, 2025 Jun 8, 2027 395 days remaining Active
2.4 2.4.4 Dec 20, 2025 Dec 21, 2027 591 days remaining Active

What does Numpy end of life mean for your organization?

When a Numpy version reaches end of life, the maintainers stop issuing security patches. Vulnerabilities discovered after this date are publicly disclosed on the National Vulnerability Database, exploit code appears on GitHub, and your systems remain permanently exposed.

The CVE blind spot: Most vulnerability scanners check for known CVEs but do not flag the accumulation of unpatched vulnerabilities in EOL software. With a zero-day, nobody knows about the vulnerability. With EOL software, the vulnerability is public — listed, rated, and often weaponized — but no patch will ever exist. This is the most dangerous gap in enterprise security posture.

Organizations running EOL Numpy should treat it as a vulnerability class in their risk register, apply compensating controls (network segmentation, enhanced monitoring, access restriction), and prioritize migration to a supported version.

Check your full stack for EOL risk

Upload requirements.txt, package.json, or Gemfile — full EOL report instantly.

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Frequently Asked Questions
What is the end-of-life date for Numpy?
The next Numpy version reaching EOL is 2.0 on June 17, 2026. See the full table above for all version EOL dates.
What is the latest supported version of Numpy?
The latest active version of Numpy is 2.2.6. Always verify against the table above as support windows can change.
What happens when Numpy reaches end of life?
When Numpy reaches end of life, the vendor stops issuing security patches. Any CVEs disclosed after the EOL date accumulate indefinitely with no patch path — creating an ever-growing attack surface that most vulnerability scanners do not flag.
How do I check if I'm running an EOL version of Numpy?
Check your current version against the table above. If your version's EOL date has passed, you are running unsupported software. You can also use the endoflife.ai Stack Scanner to check your entire dependency file at once.
Is there extended support available for EOL Numpy versions?
Some vendors offer extended support for EOL software. Contact the original vendor or check with enterprise support providers for options.

Related Products

Data from endoflife.date API · endoflife.date · Generated at build time · How we source data →