GraphCanon updated Oct 3, 2026 · GitHub synced Oct 3, 2026
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Decision brief
FeatherCNN is optimized for ARM CPUs and mobile devices, ensuring high-performance inference operations with minimal size.
Good fit when
- Targeting lightweight CNN inference on iOS or Android devices
- Development necessitates performance optimization on ARM CPUs
Avoid when
- Inference needs are primarily for x86 architecture systems
- Project requires extensive third-party dependency support
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (2565d since push)
- As of Oct 3, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 3, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/Tencent/FeatherCNNSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FeatherCNN provides fast convolutional neural network inference optimized for ARM CPUs and mobile devices like iOS/Android systems.
Capability facts
- Languages
- c++
Source: github.language · Oct 3, 2026
Categories
Tags
README
<img width="420" src="https://github.com/Tencent/FeatherCNN/wiki/Images/logo.png"/ Introduction FeatherCNN is a high performance lightweight CNN inference library, developed by Tencent AI Platform Department. FeatureCNN origins from our game AI project for King of Glory (Chinese:...
For agents
This page has a .md twin and JSON over the API.