google-ai-edge
Portfolio concentration
89%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
14 repos
Visible snapshot
13 repositories updated in the last 90 days.
Leading language
C++
Portfolio mix
C++ (3), Jupyter Notebook (3), Python (3)
Average size
5.1K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
89%
of the visible star count comes from this organization's top three repositories.
5.1K
stars per repository in this same snapshot.
C++
is the most common language here, with 13 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 14 repositories.
Organization pages work best when you separate portfolio breadth from flagship concentration. In google-ai-edge's case, the visible top three repositories account for about 89% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is C++ (3), Jupyter Notebook (3), Python (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | ⭐ Stars | 🍴 Forks | Updated |
|---|---|---|---|---|---|
| 1 | google-ai-edge/mediapipe Cross-platform, customizable ML solutions for live and streaming media. | C++ | 35.4K | 6K | 2 days ago |
| 2 | google-ai-edge/gallery A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally. | Kotlin | 23.3K | 2.4K | 5 days ago |
| 3 | google-ai-edge/LiteRT-LM | C++ | 5.2K | 516 | Today |
| 4 | google-ai-edge/mediapipe-samples | Jupyter Notebook | 2.7K | 756 | 1 months ago |
| 5 | google-ai-edge/LiteRT LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization | C++ | 2.5K | 324 | Today |
| 6 | google-ai-edge/model-explorer A modern model graph visualizer and debugger | JavaScript | 1.5K | 153 | 3 days ago |
| 7 | google-ai-edge/litert-torch Support PyTorch model conversion with LiteRT. | Jupyter Notebook | 1K | 160 | 5 days ago |
| 8 | google-ai-edge/litert-samples | Kotlin | 320 | 93 | 4 days ago |
| 9 | google-ai-edge/ai-edge-quantizer AI Edge Quantizer: flexible post training quantization for LiteRT models. | Python | 138 | 29 | 4 days ago |
| 10 | google-ai-edge/mediapipe-samples-web A collection of examples for the MediaPipe Task APIs that can run fully inside your browser. | TypeScript | 34 | 10 | Yesterday |
| 11 | google-ai-edge/models-samples | Jupyter Notebook | 24 | 4 | 1 years ago |
| 12 | google-ai-edge/LiteRT-CLI A convenient CLI to streamline LiteRT related development workflows, including converting, quantizing, compiling, managing, running, benchmarking and visualizing LiteRT (TFLite) models on various hardwares (CPU / GPU / NPU) across platforms (desktop, mobile or cloud). | Python | 17 | 1 | 5 days ago |
| 13 | google-ai-edge/google-ai-edge.github.io A curated list of resources to use Google AI Edge software. | 5 | 0 | 1 months ago | |
| 14 | google-ai-edge/eval | Python | 3 | 0 | 4 days ago |
Next step after the organization read
Learn and methodology
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.