Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/RasaHQ/rasa
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/RasaHQ/rasa.md
Description: hello-agents and rasa share 8 technologies: psycopg2-binary, Postgres, Redis, AIOHTTP, matplotlib, SQLAlchemy, safetensors, and jsonschema. Both are written in Python.

# hello-agents vs rasa

hello-agents and rasa share 8 technologies: psycopg2-binary, Postgres, Redis, AIOHTTP, matplotlib, SQLAlchemy, safetensors, and jsonschema. 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
- [RasaHQ/rasa](https://seerepo.com/r/RasaHQ/rasa): 💬   Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

## What they share and what sets them apart

- In common: psycopg2-binary, Postgres, Redis, AIOHTTP, matplotlib, SQLAlchemy, safetensors, jsonschema
- Only in hello-agents: FastAPI, uvicorn, aiosqlite, asyncpg, chromadb, SQLite, oracledb, pymilvus, OpenAI, Qdrant, Hugging Face, Flask, fastmcp, starlette, anyio, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, Rich, alembic, bcrypt, accelerate, MCP, onnxruntime, peft, tavily-python, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, markdown, openpyxl, pdfminer.six, pypdf, python-docx, reportlab, xlrd, pdfplumber, pillow, feedparser, pymupdf, beautifulsoup4, jinja2, annotated-types, email-validator, pydantic-core, Pydantic, 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 rasa: confluent-kafka, aio-pika, Kafka, Sentry, pydot, questionary, prompt-toolkit, Google, cryptography, TensorFlow, structlog, boto3, coloredlogs

## Side by side

| | hello-agents | rasa |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 166,763 lines written, 267 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 0% of its commits signed by AI |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push July 24, 2026, 22,197 commits, 21,371 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 270 test files. 81.3% 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 rasa?

hello-agents, with 226,661 lines written; rasa has 166,763.

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 rasa?

hello-agents, with 86,039 stars; rasa has 21,371.

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

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

rasa, with 270 test files; hello-agents has 97.

The proof: [RasaHQ/rasa's code at commit 60a3cff](https://github.com/RasaHQ/rasa/tree/60a3cff9c08183760355b07bd60f5223d8916d6b)

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

hello-agents: its last push was on October 13, 2026, and rasa's on July 24, 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 rasa?

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

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- RasaHQ/rasa: Read on November 5, 2026, at commit 60a3cff (https://github.com/RasaHQ/rasa/tree/60a3cff9c08183760355b07bd60f5223d8916d6b)

## 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.