Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/srbhr/Resume-Matcher
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/srbhr/Resume-Matcher.md
Description: hello-agents and Resume-Matcher share 28 technologies: FastAPI, uvicorn, aiosqlite, Postgres, SQLite, OpenAI, starlette, anyio, AIOHTTP, React, SQLAlchemy, MCP, onnxruntime, tokenizers, tiktoken, lxml, pdfminer.six, python-docx, pdfplumber, pillow, beautifulsoup4, jinja2, annotated-types, pydantic-core, Pydantic, jsonschema, OpenTelemetry, and Tailwind CSS. hello-agents is written in Python and Resume-Matcher in TypeScript.

# hello-agents vs Resume-Matcher

hello-agents and Resume-Matcher share 28 technologies: FastAPI, uvicorn, aiosqlite, Postgres, SQLite, OpenAI, starlette, anyio, AIOHTTP, React, SQLAlchemy, MCP, onnxruntime, tokenizers, tiktoken, lxml, pdfminer.six, python-docx, pdfplumber, pillow, beautifulsoup4, jinja2, annotated-types, pydantic-core, Pydantic, jsonschema, OpenTelemetry, and Tailwind CSS. hello-agents is written in Python and Resume-Matcher in TypeScript.

- [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
- [srbhr/Resume-Matcher](https://seerepo.com/r/srbhr/Resume-Matcher): The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

## What they share and what sets them apart

- In common: FastAPI, uvicorn, aiosqlite, Postgres, SQLite, OpenAI, starlette, anyio, AIOHTTP, React, SQLAlchemy, MCP, onnxruntime, tokenizers, tiktoken, lxml, pdfminer.six, python-docx, pdfplumber, pillow, beautifulsoup4, jinja2, annotated-types, pydantic-core, Pydantic, jsonschema, OpenTelemetry, Tailwind CSS
- Only in hello-agents: asyncpg, psycopg2-binary, chromadb, Redis, oracledb, pymilvus, Qdrant, Hugging Face, Flask, fastmcp, Streamlit, Vite, Vue, vue-router, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, matplotlib, Rich, alembic, bcrypt, accelerate, peft, safetensors, tavily-python, torch, transformers, scikit-learn, sentence-transformers, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, markdown, openpyxl, pypdf, reportlab, xlrd, feedparser, pymupdf, email-validator, opentelemetry-exporter-otlp-proto-grpc, loguru, D3, katex, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, react-markdown, Element, echarts, Leaflet, Mermaid, html2canvas, jspdf
- Only in Resume-Matcher: psycopg, psycopg-binary, s3transfer, tinydb, Next.js, soupsieve, cryptography, pyjwt, litellm, defusedxml, magika, mammoth, markdownify, markupsafe, pypdfium2, markitdown, jsonschema-specifications, referencing, mcp-types, boto3, botocore, fontsource, tailwind-merge, motion, dnd-kit, tiptap, @phosphor-icons/react, Lucide, isomorphic-dompurify

## Side by side

| | hello-agents | Resume-Matcher |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 127,006 lines written, 309 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 41.2% of its commits signed by AI. With Claude Code, Codex, GitHub Copilot, CodeRabbit, Warp, and Kilo Code |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 7, 2026, 1,744 commits, 29,173 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 306 test files. 73.8% 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 Resume-Matcher?

hello-agents, with 226,661 lines written; Resume-Matcher has 127,006.

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 Resume-Matcher?

hello-agents, with 86,039 stars; Resume-Matcher has 29,173.

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

### Which has more tests, hello-agents or Resume-Matcher?

Resume-Matcher, with 306 test files; hello-agents has 97.

The proof: [srbhr/Resume-Matcher's code at commit 950b700](https://github.com/srbhr/Resume-Matcher/tree/950b700b3cc84ba8543e954d4212d7c375b09a27)

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

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

The proof: [srbhr/Resume-Matcher's commits on GitHub](https://github.com/srbhr/Resume-Matcher/commits)

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

Resume-Matcher: an AI signed 41.2% of its commits, with Claude Code, Codex, GitHub Copilot, CodeRabbit, Warp, and Kilo Code; in hello-agents, 2.4%.

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

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- srbhr/Resume-Matcher: Read on November 8, 2026, at commit 950b700 (https://github.com/srbhr/Resume-Matcher/tree/950b700b3cc84ba8543e954d4212d7c375b09a27)

## 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.