Source: https://seerepo.com/compare/modelscope/FunASR/vs/OWASP/mastg
Markdown source: https://seerepo.com/compare/modelscope/FunASR/vs/OWASP/mastg.md
Description: FunASR and mastg share 5 technologies: activity-compose, lifecycle-runtime-ktx, material3, ui, and ui-graphics. FunASR is written in Python and mastg in Kotlin.

# FunASR vs mastg

FunASR and mastg share 5 technologies: activity-compose, lifecycle-runtime-ktx, material3, ui, and ui-graphics. FunASR is written in Python and mastg in Kotlin.

- [modelscope/FunASR](https://seerepo.com/r/modelscope/FunASR): Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
- [OWASP/mastg](https://seerepo.com/r/OWASP/mastg): The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.

## What they share and what sets them apart

- In common: activity-compose, lifecycle-runtime-ktx, material3, ui, ui-graphics
- Only in FunASR: androidx.core:core-ktx, Flask, FastAPI, uvicorn, constraintlayout, Google, androidx.appcompat:appcompat, torch, librosa, ModelScope, funasr-onnx, sentencepiece, onnxruntime, ONNX, beautifulsoup4, markdown, YamlDotNet, Microsoft.Extensions.Logging, openclaw
- Only in mastg: core-ktx

## Side by side

| | FunASR | mastg |
|---|---|---|
| Size | 278,515 lines written, 1,165 code files | 17,925 lines written, 101 code files |
| Who writes it | 3.3% of its commits signed by AI. With Codex, Claude Code, and Gemini CLI | 1.9% of its commits signed by AI. With GitHub Copilot and Claude Code |
| Activity | Last push November 5, 2026, 4,986 commits, 20,948 stars | Last push November 7, 2026, 8,693 commits, 13,325 stars |
| Tests | 202 test files. 0.9% of its code files have a test that imports them | 135 test files. 6.9% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, FunASR or mastg?

FunASR, with 278,515 lines written; mastg has 17,925.

The proof: [modelscope/FunASR's code at commit fd1d4aa](https://github.com/modelscope/FunASR/tree/fd1d4aa655effca86dc03b70a09db7e4e6409a10)

### Which has more GitHub stars, FunASR or mastg?

FunASR, with 20,948 stars; mastg has 13,325.

The proof: [modelscope/FunASR on GitHub](https://github.com/modelscope/FunASR)

### Which has more tests, FunASR or mastg?

FunASR, with 202 test files; mastg has 135.

The proof: [modelscope/FunASR's code at commit fd1d4aa](https://github.com/modelscope/FunASR/tree/fd1d4aa655effca86dc03b70a09db7e4e6409a10)

### Which was updated more recently, FunASR or mastg?

mastg: its last push was on November 7, 2026, and FunASR's on November 5, 2026.

The proof: [OWASP/mastg's commits on GitHub](https://github.com/OWASP/mastg/commits)

### Which has more commits signed by AI, FunASR or mastg?

FunASR: an AI signed 3.3% of its commits, with Codex, Claude Code, and Gemini CLI; in mastg, 1.9%.

The proof: [the commits each tool signed in modelscope/FunASR](https://seerepo.com/r/modelscope/FunASR/ai)

## Sources

- modelscope/FunASR: Read on November 5, 2026, at commit fd1d4aa (https://github.com/modelscope/FunASR/tree/fd1d4aa655effca86dc03b70a09db7e4e6409a10)
- OWASP/mastg: Read on November 10, 2026, at commit e818303 (https://github.com/OWASP/mastg/tree/e8183038d7a88c1ac962732d6e3f6e7f40a0251c)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.
