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Facts
| Fact | 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. | Tencent/ncnn ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| Stars | 4,664 | 24,041 |
| Net stars, last 30 days | +9 | +105 |
| Largest star day | +3 on Jun 5, 2026 | +15 on Jun 30, 2026 |
| Milestone reached in the record | None | None |
| Forks | 771 | 4,547 |
| Language | C++ | C++ |
| License | Other license | Other license |
| Created | May 29, 2020 | Jun 30, 2017 |
| Last push | May 9, 2025 | Nov 11, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 1 of 3 checks (1 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 158 |
| Weeks with commits, last 52 | No data | 50 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, ncnn, inference, pytorch, tensorflow. 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