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Stars gained: From Sep 26, 2026 to Nov 11, 2026, each from zeroStars gainedFrom Sep 26, 2026 to Nov 11, 2026, each from zero0200400Sep 26Nov 11, 2026Tencent/TNNAICAN-Research/FAST-PathologyTencent/ncnnuber/neuropodmicrosoft/onnxruntime
Stars: The star count at the end of each dayStarsThe star count at the end of each day010K20KApr 25Nov 11, 2026Tencent/TNNAICAN-Research/FAST-PathologyTencent/ncnnuber/neuropodmicrosoft/onnxruntime

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.

AICAN-Research/FAST-Pathology

⚡ Open-source software for deep learning-based digital pathology

Tencent/ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

uber/neuropod

A uniform interface to run deep learning models from multiple frameworks

microsoft/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Stars 4,66414624,04194222,289
Net stars, last 30 days +90+1050+236
Largest star day +3 on Jun 5, 2026+1 on May 19, 2026+15 on Jun 30, 2026+1 on Sep 26, 2026+102 on Aug 21, 2026
Milestone reached in the record NoneNoneNoneNoneNone
Forks 771284,547714,440
Language C++C++C++C++C++
License Other licenseBSD-2-CLAUSEOther licenseAPACHE-2.0MIT
Created May 29, 2020Jul 9, 2019Jun 30, 2017Jan 23, 2019Nov 10, 2018
Last push May 9, 2025Jun 14, 2024Nov 11, 2026Jan 3, 2024Nov 11, 2026
Archived NoNoNoNoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)4 of 4 checks1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 1 of 3 checks (1 without data)1 of 3 checks (1 without data)1 of 3 checks1 of 3 checks (1 without data)2 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)0 of 1 check0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)2 of 3 checks1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No dataNo data158No data986
Weeks with commits, last 52 No dataNo data50 of 52No data52 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026Oct 22, 2026Oct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, 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

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