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Facts
| Fact | jolibrain/deepdetect Deep Learning Server and CLI for Torch and TensorRT | dusty-nv/jetson-inference Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson. | Tencent/ncnn ncnn is a high-performance neural network inference framework optimized for the mobile platform | NVIDIA/DALI A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. | Tencent/TNN TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. |
|---|---|---|---|---|---|
| Stars | 2,550 | 9,033 | 24,046 | 5,795 | 4,664 |
| Net stars, last 30 days | 0 | +24 | +100 | +24 | +8 |
| Largest star day | +1 on May 29, 2026 | +6 on Jun 18, 2026 | +15 on Jun 30, 2026 | +14 on Sep 3, 2026 | +3 on Jun 5, 2026 |
| Milestone reached in the record | None | None | None | None | None |
| Forks | 544 | 3,118 | 4,549 | 690 | 771 |
| Language | C++ | C++ | C++ | C++ | C++ |
| License | Other license | MIT | Other license | APACHE-2.0 | Other license |
| Created | May 22, 2015 | Jul 30, 2016 | Jun 30, 2017 | Jun 1, 2018 | May 29, 2020 |
| Last push | Nov 10, 2026 | Oct 16, 2025 | Nov 11, 2026 | Nov 12, 2026 | May 9, 2025 |
| Archived | No | No | No | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) | 4 of 4 checks | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks (1 without data) | 0 of 3 checks (1 without data) | 1 of 3 checks | 2 of 3 checks (1 without data) | 1 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) | 0 of 1 check | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) | 2 of 3 checks | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data | 158 | No data | No data |
| Weeks with commits, last 52 | No data | No data | 50 of 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 10, 2026 | Oct 22, 2026 | Nov 10, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: deep-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined