Source: https://seerepo.com/compare/jianchang512/pyvideotrans/vs/PaddlePaddle/PaddleFormers
Markdown source: https://seerepo.com/compare/jianchang512/pyvideotrans/vs/PaddlePaddle/PaddleFormers.md
Description: pyvideotrans and PaddleFormers share 10 technologies: Hugging Face, datasets, scikit-learn, tiktoken, transformers, librosa, ModelScope, safetensors, sentencepiece, and jinja2. Both are written in Python.

# pyvideotrans vs PaddleFormers

pyvideotrans and PaddleFormers share 10 technologies: Hugging Face, datasets, scikit-learn, tiktoken, transformers, librosa, ModelScope, safetensors, sentencepiece, and jinja2. Both are written in Python.

- [jianchang512/pyvideotrans](https://seerepo.com/r/jianchang512/pyvideotrans): Translate the video from one language to another and embed dubbing & subtitles.
- [PaddlePaddle/PaddleFormers](https://seerepo.com/r/PaddlePaddle/PaddleFormers): PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

## What they share and what sets them apart

- In common: Hugging Face, datasets, scikit-learn, tiktoken, transformers, librosa, ModelScope, safetensors, sentencepiece, jinja2
- Only in pyvideotrans: h5py, oss2, pyarrow, OpenAI, ElevenLabs, Google, anyio, pyside6, AIOHTTP, cycler, fonttools, contourpy, matplotlib-inline, prompt-toolkit, Rich, Gradio, cryptography, itsdangerous, oauthlib, requests-oauthlib, accelerate, azure-cognitiveservices-speech, bitsandbytes, diffusers, Keras, llvmlite, nagisa, openai-whisper, peft, piper-tts, soynlp, speechrecognition, torch, gradio-client, torchaudio, dashscope, faster-whisper, onnxruntime, edge-tts, funasr, ctranslate2, gtts, litellm, pyannote-audio, ffmpeg-python, imageio, imageio-ffmpeg, markdown, markdown-it-py, markupsafe, mdurl, pillow, av, annotated-types, marshmallow, Pydantic, coloredlogs, tencentcloud-sdk-python, Alibaba Cloud, psutil
- Only in PaddleFormers: ml-dtypes, colorlog

## Side by side

| | pyvideotrans | PaddleFormers |
|---|---|---|
| Size | 73,829 lines written, 447 code files | 374,777 lines written, 599 code files |
| Who writes it | 0.8% of its commits signed by AI. With Claude Code and Cursor | 1.5% of its commits signed by AI. With Codex, Claude Code, and GitHub Copilot |
| Activity | Last push November 5, 2026, 1,526 commits, 19,644 stars | Last push October 21, 2026, 1,425 commits, 12,969 stars |
| Tests | 57 test files. 17% of its code files have a test that imports them | 408 test files. 45.7% 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, pyvideotrans or PaddleFormers?

PaddleFormers, with 374,777 lines written; pyvideotrans has 73,829.

The proof: [PaddlePaddle/PaddleFormers's code at commit f7fa77f](https://github.com/PaddlePaddle/PaddleFormers/tree/f7fa77f02ec637441e1a4fad1f9066b228774fb6)

### Which has more GitHub stars, pyvideotrans or PaddleFormers?

pyvideotrans, with 19,644 stars; PaddleFormers has 12,969.

The proof: [jianchang512/pyvideotrans on GitHub](https://github.com/jianchang512/pyvideotrans)

### Which has more tests, pyvideotrans or PaddleFormers?

PaddleFormers, with 408 test files; pyvideotrans has 57.

The proof: [PaddlePaddle/PaddleFormers's code at commit f7fa77f](https://github.com/PaddlePaddle/PaddleFormers/tree/f7fa77f02ec637441e1a4fad1f9066b228774fb6)

### Which was updated more recently, pyvideotrans or PaddleFormers?

pyvideotrans: its last push was on November 5, 2026, and PaddleFormers's on October 21, 2026.

The proof: [jianchang512/pyvideotrans's commits on GitHub](https://github.com/jianchang512/pyvideotrans/commits)

### Which has more commits signed by AI, pyvideotrans or PaddleFormers?

PaddleFormers: an AI signed 1.5% of its commits, with Codex, Claude Code, and GitHub Copilot; in pyvideotrans, 0.8%.

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

## Sources

- jianchang512/pyvideotrans: Read on November 5, 2026, at commit 7921c81 (https://github.com/jianchang512/pyvideotrans/tree/7921c819f9f09ac64a611d57cd676df28fd0b56a)
- PaddlePaddle/PaddleFormers: Read on November 10, 2026, at commit f7fa77f (https://github.com/PaddlePaddle/PaddleFormers/tree/f7fa77f02ec637441e1a4fad1f9066b228774fb6)

## 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.