Is tensorflow/tensorflow still maintained, or is it a dead project?

TensorFlow is very much alive and kicking, standing as a testament to the vitality of the open-source community amid fleeting fads. Like a classic car that refuses to fade into obsolescence, it remains not only functional but is also actively maintained and continuously updated.

Current Maintenance Status

• Last Push: Just today (pushed 0 days ago).
• Latest Release: Version 2.21.0 was published on March 6, 2026.
• Contributors: An impressive roster of 5,158 contributors.
• Open Issues: 2,683, suggesting an active user base with ongoing discussions.

Project Overview

• Stars: 196,321 — a clear indicator of popularity.
• License: Apache-2.0, which is permissive and business-friendly.
• GitHub Link: tensorflow/tensorflow

The metrics assure us this isn't a project that's resting on its laurels. It stands at the forefront of machine learning frameworks, continually integrating new features and enhancements to cater to both developers and researchers.

Conclusion

✅ healthy — TensorFlow is actively maintained, consistently updated, and remains a reliable choice for machine learning applications. You can confidently engage with it for both learning and production purposes.

Recommendation: If you're looking to get involved with a robust machine learning framework, TensorFlow is your go-to option. Choose it for its vast ecosystem and active community support!