Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/pipecat-ai/pipecat
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/pipecat-ai/pipecat.md
Description: hello-agents and pipecat share 8 technologies: FastAPI, OpenAI, AIOHTTP, onnxruntime, markdown, pillow, Pydantic, and loguru. Both are written in Python.

# hello-agents vs pipecat

hello-agents and pipecat share 8 technologies: FastAPI, OpenAI, AIOHTTP, onnxruntime, markdown, pillow, Pydantic, and loguru. 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
- [pipecat-ai/pipecat](https://seerepo.com/r/pipecat-ai/pipecat): Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

## What they share and what sets them apart

- In common: FastAPI, OpenAI, AIOHTTP, onnxruntime, markdown, pillow, Pydantic, loguru
- Only in hello-agents: uvicorn, aiosqlite, asyncpg, psycopg2-binary, Postgres, chromadb, Redis, SQLite, oracledb, pymilvus, Qdrant, Hugging Face, Flask, fastmcp, starlette, anyio, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, matplotlib, Rich, alembic, SQLAlchemy, bcrypt, accelerate, MCP, peft, safetensors, tavily-python, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, openpyxl, pdfminer.six, pypdf, python-docx, reportlab, xlrd, pdfplumber, feedparser, pymupdf, beautifulsoup4, jinja2, annotated-types, email-validator, pydantic-core, jsonschema, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, 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 pipecat: @pipecat-ai/client-js

## Side by side

| | hello-agents | pipecat |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 494,582 lines written, 695 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 3.7% of its commits signed by AI. With Claude Code, Cursor, GitHub Copilot, Codex, and Gemini CLI |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 7, 2026, 11,319 commits, 17,104 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 433 test files. 61% 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, hello-agents or pipecat?

pipecat, with 494,582 lines written; hello-agents has 226,661.

The proof: [pipecat-ai/pipecat's code at commit faee313](https://github.com/pipecat-ai/pipecat/tree/faee3135dac19c3b172befcc07162950c826dd13)

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

hello-agents, with 86,039 stars; pipecat has 17,104.

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

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

pipecat, with 433 test files; hello-agents has 97.

The proof: [pipecat-ai/pipecat's code at commit faee313](https://github.com/pipecat-ai/pipecat/tree/faee3135dac19c3b172befcc07162950c826dd13)

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

pipecat: its last push was on November 7, 2026, and hello-agents's on October 13, 2026.

The proof: [pipecat-ai/pipecat's commits on GitHub](https://github.com/pipecat-ai/pipecat/commits)

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

pipecat: an AI signed 3.7% of its commits, with Claude Code, Cursor, GitHub Copilot, Codex, and Gemini CLI; in hello-agents, 2.4%.

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

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- pipecat-ai/pipecat: Read on November 7, 2026, at commit faee313 (https://github.com/pipecat-ai/pipecat/tree/faee3135dac19c3b172befcc07162950c826dd13)

## 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.