Source: https://seerepo.com/compare/HKUDS/Vibe-Trading/vs/py-pdf/pypdf
Markdown source: https://seerepo.com/compare/HKUDS/Vibe-Trading/vs/py-pdf/pypdf.md
Description: Vibe-Trading and pypdf share 8 technologies: fonttools, cryptography, markdown-it-py, markupsafe, mdurl, jinja2, defusedxml, and pillow. Both are written in Python.

# Vibe-Trading vs pypdf

Vibe-Trading and pypdf share 8 technologies: fonttools, cryptography, markdown-it-py, markupsafe, mdurl, jinja2, defusedxml, and pillow. Both are written in Python.

- [HKUDS/Vibe-Trading](https://seerepo.com/r/HKUDS/Vibe-Trading): "Vibe-Trading: Your Personal Trading Agent"
- [py-pdf/pypdf](https://seerepo.com/r/py-pdf/pypdf): A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

## What they share and what sets them apart

- In common: fonttools, cryptography, markdown-it-py, markupsafe, mdurl, jinja2, defusedxml, pillow
- Only in Vibe-Trading: FastAPI, py-key-value-aio, DuckDB, OpenAI, fastmcp-slim, AIOHTTP, starlette, fastmcp, uvicorn, anyio, Electron, Vite, React, React Router, cycler, soupsieve, tinycss2, contourpy, Rich, prompt-toolkit, matplotlib, peewee, authlib, joserfc, pyjwt, keyring, github-copilot-sdk, langchain-protocol, LangGraph, langgraph-sdk, langsmith, tiktoken, LangChain, MCP, scikit-learn, langchain-openai, beautifulsoup4, bs4, et-xmlfile, html5lib, lxml, rich-rst, webencodings, xlrd, xlsxwriter, mistune, nh3, python-pptx, qrcode, reportlab, weasyprint, openpyxl, pypdf, pypdfium2, python-docx, annotated-types, beartype, email-validator, jsonschema, jsonschema-path, jsonschema-specifications, openapi-pydantic, referencing, Pydantic, pydantic-core, OpenTelemetry, Tailwind CSS, tailwind-merge, sonner, echarts, Lucide, react-markdown, rehype-highlight, highlight.js, katex, rehype-katex, remark-gfm, remark-math
- Only in pypdf: alabaster, sphinx-rtd-theme, docutils, fpdf2, imagesize, mdit-py-plugins, myst-parser, sphinxcontrib-jquery, execnet

## Side by side

| | Vibe-Trading | pypdf |
|---|---|---|
| Size | 602,935 lines written, 1,351 code files | 85,910 lines written, 61 code files |
| Who writes it | 5.9% of its commits signed by AI. With Claude Code, Codex, GitHub Copilot, and Cursor | 1.5% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 6, 2026, 2,644 commits, 37,785 stars | Last push November 13, 2026, 2,649 commits, 10,299 stars |
| Tests | 1,166 test files. 50.4% of its code files have a test that imports them | 47 test files. 55.7% 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, Vibe-Trading or pypdf?

Vibe-Trading, with 602,935 lines written; pypdf has 85,910.

The proof: [HKUDS/Vibe-Trading's code at commit b62c878](https://github.com/HKUDS/Vibe-Trading/tree/b62c8782f57cad20c1c195367fa7a1cdeb29d6a8)

### Which has more GitHub stars, Vibe-Trading or pypdf?

Vibe-Trading, with 37,785 stars; pypdf has 10,299.

The proof: [HKUDS/Vibe-Trading on GitHub](https://github.com/HKUDS/Vibe-Trading)

### Which has more tests, Vibe-Trading or pypdf?

Vibe-Trading, with 1,166 test files; pypdf has 47.

The proof: [HKUDS/Vibe-Trading's code at commit b62c878](https://github.com/HKUDS/Vibe-Trading/tree/b62c8782f57cad20c1c195367fa7a1cdeb29d6a8)

### Which was updated more recently, Vibe-Trading or pypdf?

pypdf: its last push was on November 13, 2026, and Vibe-Trading's on November 6, 2026.

The proof: [py-pdf/pypdf's commits on GitHub](https://github.com/py-pdf/pypdf/commits)

### Which has more commits signed by AI, Vibe-Trading or pypdf?

Vibe-Trading: an AI signed 5.9% of its commits, with Claude Code, Codex, GitHub Copilot, and Cursor; in pypdf, 1.5%.

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

## Sources

- HKUDS/Vibe-Trading: Read on November 6, 2026, at commit b62c878 (https://github.com/HKUDS/Vibe-Trading/tree/b62c8782f57cad20c1c195367fa7a1cdeb29d6a8)
- py-pdf/pypdf: Read on November 13, 2026, at commit 5f2fa46 (https://github.com/py-pdf/pypdf/tree/5f2fa4697ea5cb14f35d769edd80e4d0f15af46e)

## 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.