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PaddlePaddle

Active
FrameworksLatest Version: 3.3.1Latest Release: Mar 26, 2026

PaddlePaddle (PArallel Distributed Deep LEarning) is Baidu's open-source deep learning platform, China's first independently developed industrial-grade deep learning framework.

Support summary

PaddlePaddle 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

No announced EOL date is currently listed.

Supported cycles

4

0 lts

Versions

5

Latest Version

3.3.1

Active Support

4

EOL

1

Lifecycle Timeline

Today
3.3
3.3
3.2
3.2
3.1
3.1
3.0
3.0
2.x
2.x
Active SupportSecurity SupportEOL

Versions

ReleaseRelease DateActive SupportEOLLatest VersionLTSStatus
3.3Jan 13, 2026YesNo3.3.1No
Active
3.2Sep 8, 2025YesNo3.2.2No
Active
3.1Jun 29, 2025YesNo3.1.1No
Active
3.0Mar 26, 2025YesNo3.0.0No
Active
2.xJan 1, 2021NoYes2.6.2No
EOL

Data sources

Last verified

Jun 24, 2026

Community-maintained lifecycle data. Verify against official release notes before production migration.

Frequently Asked Questions

Which versions of PaddlePaddle have reached end of life?
The following PaddlePaddle versions have reached end of life and no longer receive security updates: 2.x. It is recommended to upgrade to a supported version.
Is it safe to continue using PaddlePaddle 2.x?
PaddlePaddle 2.x 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 PaddlePaddle?
The latest version of PaddlePaddle is 3.3.1, released in the 3.3 release cycle.
How many versions of PaddlePaddle are currently supported?
PaddlePaddle currently has 4 actively supported version(s): 3.3, 3.2, 3.1, 3.0.
When does PaddlePaddle 3.3 reach end of life?
PaddlePaddle 3.3 does not have a specific end-of-life date announced yet.
What should I do when PaddlePaddle reaches end of life?
When a PaddlePaddle 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.