Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/DrewThomasson/ebook2audiobook
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/DrewThomasson/ebook2audiobook.md
Description: hello-agents and ebook2audiobook share 6 technologies: FastAPI, Hugging Face, Gradio, python-docx, pymupdf, and beautifulsoup4. Both are written in Python.

# hello-agents vs ebook2audiobook

hello-agents and ebook2audiobook share 6 technologies: FastAPI, Hugging Face, Gradio, python-docx, pymupdf, and beautifulsoup4. Both are written in Python.

- [datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents): 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
- [DrewThomasson/ebook2audiobook](https://seerepo.com/r/DrewThomasson/ebook2audiobook): Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!

## What they share and what sets them apart

- In common: FastAPI, Hugging Face, Gradio, python-docx, pymupdf, beautifulsoup4
- Only in hello-agents: uvicorn, aiosqlite, asyncpg, psycopg2-binary, Postgres, chromadb, Redis, SQLite, oracledb, pymilvus, OpenAI, Qdrant, Flask, fastmcp, starlette, anyio, AIOHTTP, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, matplotlib, Rich, alembic, SQLAlchemy, bcrypt, accelerate, MCP, onnxruntime, peft, safetensors, tavily-python, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, markdown, openpyxl, pdfminer.six, pypdf, reportlab, xlrd, pdfplumber, pillow, feedparser, jinja2, annotated-types, email-validator, pydantic-core, Pydantic, jsonschema, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, loguru, D3, katex, Tailwind CSS, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, react-markdown, Element, echarts, Leaflet, Mermaid, html2canvas, jspdf
- Only in ebook2audiobook: pyopengl, cryptography, langdetect, pyannote-audio, ebooklib, mutagen, pytesseract, python-pptx, tinytag, docker

## Side by side

| | hello-agents | ebook2audiobook |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 34,958 lines written, 74 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 0.1% of its commits signed by AI. With GitHub Copilot |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push October 6, 2026, 13,853 commits, 20,501 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 0 test files |

- 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, hello-agents or ebook2audiobook?

hello-agents, with 226,661 lines written; ebook2audiobook has 34,958.

The proof: [datawhalechina/hello-agents's code at commit 36f583c](https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)

### Which has more GitHub stars, hello-agents or ebook2audiobook?

hello-agents, with 86,039 stars; ebook2audiobook has 20,501.

The proof: [datawhalechina/hello-agents on GitHub](https://github.com/datawhalechina/hello-agents)

### Which has more tests, hello-agents or ebook2audiobook?

hello-agents, with 97 test files.

The proof: [datawhalechina/hello-agents's code at commit 36f583c](https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)

### Which was updated more recently, hello-agents or ebook2audiobook?

hello-agents: its last push was on October 13, 2026, and ebook2audiobook's on October 6, 2026.

The proof: [datawhalechina/hello-agents's commits on GitHub](https://github.com/datawhalechina/hello-agents/commits)

### Which has more commits signed by AI, hello-agents or ebook2audiobook?

hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in ebook2audiobook, 0.1%.

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- DrewThomasson/ebook2audiobook: Read on November 5, 2026, at commit 0a98ac3 (https://github.com/DrewThomasson/ebook2audiobook/tree/0a98ac313ec43a470ee1e5feb13dd881ffb3e969)

## 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.