hello-agents vs ai-toolkit
hello-agents and ai-toolkit share 14 technologies: FastAPI, uvicorn, SQLite, Hugging Face, React, Gradio, matplotlib, accelerate, bitsandbytes, peft, safetensors, transformers, Pydantic, and Tailwind CSS. Both are written in Python.
What they share and what sets them apart
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
Python86.5kRead on November 9, 2026, at commit 36f583cWhat is hello-agents built with?Only in hello-agents
- aiosqlite
- asyncpg
psycopg2-binary
- Postgres
chromadb
- Redis
libsql-client
oracledb
- pymilvus
OpenAI- Qdrant
- Flask
- python
- react-dom
fastmcp
starlette
- anyio
- AIOHTTP
- Streamlit
- Vite
- Vue
vue-router
react-router-dom
- cycler
fonttools
- soupsieve
contourpy
- ipywidgets
- Plotly
- Rich
seaborn
- alembic
- SQLAlchemy
- python-jose
- passlib
- bcrypt
camel-ai
- MCP
- mermaid
- onnxruntime
- tavily-python
textblob
tokenizers
- hello-agents
- torch
agentscope
- scikit-learn
sentence-transformers
- tiktoken
- autogen-agentchat
- autogen-ext
- datasets
langchain-openai
- langdetect
- LangGraph
- paddlenlp
- rank-bm25
- spaCy
- imaplib2
lxml
- markdown
- openpyxl
pdfminer.six
pypdf
- python-docx
- reportlab
- xlrd
- pdfplumber
pillow
feedparser
pymupdf
pypdf2
- beautifulsoup4
- jinja2
- pymupdf4llm
- annotated-types
- email-validator
- pydantic-core
- jsonschema
kubernetes
- OpenTelemetry
opentelemetry-exporter-otlp-proto-grpc
loguru
ant-design-vue
- D3
@ant-design/icons-vue
katex
markdown-it
vue-flow
- @monaco-editor/loader
- Chart.js
vue-chartjs
highlight.js
- dompurify
marked
- react-markdown
- Element
vue-echarts
echarts
@element-plus/icons-vue
- Leaflet
- @amap/amap-jsapi-loader
- html2canvas
jspdf
In common
ostris
ai-toolkit
The ultimate training toolkit for finetuning diffusion models
Python12.6kRead on November 10, 2026, at commit 4a7f285What is ai-toolkit built with?Only in ai-toolkit
- Next.js
node-cache
- albucore
kornia
- lycoris-lora
- open-clip-torch
- sentencepiece
timm
- einops
- optimum-quanto
opencv-python
- controlnet-aux
torchao
albumentations
librosa
- lpips
- prodigyopt
- pytorch-fid
- invisible-watermark
av
mutagen
- torchcodec
- classnames
- Headless UI
react-dropzone
@monaco-editor/react
- react-virtuoso
react-zoom-pan-pinch
- react-select
uplot
- Lucide
react-icons
- Prisma
yaml
Side by side
hello-agentsai-toolkit
SizeLines written by people and agents, without generated ones; code files, without tests.
hello-agents226,661 lines written1,210 code files
ai-toolkit204,162 lines written663 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
hello-agents2.4% of its commits signed by AIWith Codex, Cursor, and Claude Code
ai-toolkit0.2% of its commits signed by AIWith Codex, Cursor, and Claude Code
ActivityFrom GitHub and its history, on the day SeeRepo read it.
hello-agentsLast push October 13, 2026660 commits86,519 stars
ai-toolkitLast push November 10, 20261,578 commits12,609 stars
TestsThe files that test the code, and the share of code files a test imports.
hello-agents99 test files6.9% of its code files have a test that imports them
ai-toolkit12 test files4.5% of its code files have a test that imports them
Frequently asked questions
Which is bigger, hello-agents or ai-toolkit?
hello-agents, with 226,661 lines written; ai-toolkit has 204,162.
The proof: datawhalechina/hello-agents's code at commit 36f583c
Which has more GitHub stars, hello-agents or ai-toolkit?
hello-agents, with 86,519 stars; ai-toolkit has 12,609.
The proof: datawhalechina/hello-agents on GitHub
Which has more tests, hello-agents or ai-toolkit?
hello-agents, with 99 test files; ai-toolkit has 12.
The proof: datawhalechina/hello-agents's code at commit 36f583c
Which was updated more recently, hello-agents or ai-toolkit?
ai-toolkit: its last push was on November 10, 2026, and hello-agents's on October 13, 2026.
The proof: ostris/ai-toolkit's commits on GitHub
Which has more commits signed by AI, hello-agents or ai-toolkit?
hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in ai-toolkit, 0.2%.
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