Which has better activity and maintenance signals?

Based on the RepoPilot analysis signals provided:

carguo/gsyvideoplayer shows stronger activity and maintenance indicators:

• Recent commits: The README documents a recent version v11.0.0 (2025-07-10) with dependency updates and bug fixes [README.md:L554-L559], indicating active maintenance.
• Scale: 21,486 stars and 4,315 forks indicate substantial community engagement.
• Publishing infrastructure: The repository has dual-channel publishing automation to both GitHub Packages and Maven Central [MAVEN_CENTRAL_AUTOMATION.md:L14-L26], suggesting active release management.

pqpo/smartcropper shows more limited maintenance signals:

• No recent version data is included in the repository_data block, so current maintenance status is unclear.
• Older dependency infrastructure: References deprecated TensorFlow APIs (e.g., tf.contrib.layers, tf.read_file) in the edge detection code [edge_detection/hed_net.py:L172-L211, L28-L67], which suggests the ML components may not be recently updated.
• The README notes: "目前优化了一套更高识别率的模型和算法，有意向合作的请联系邮箱" [README.md:L3-L12], which suggests development may be transitioning to a commercial/partnership model rather than active open-source iteration.

⚠️ Caveat: RepoPilot's architecture grade for gsyvideoplayer is C (50/100) with "Single-maintainer risk," and both repos lack complete dependency scanning. Neither has strong OpenSSF Scorecard signals (gsyvideoplayer scores 4.4/10). For production use, both warrant careful review.

FOLLOW_UPS:

• What are gsyvideoplayer's specific dependency CVEs or risks?
• Does smartcropper have an active development branch or pre-release?
• How do the Java and Python stacks compare for your use case?