workflowstacks
analytics

YiGraph: Unlock Graph Insights

Autonomous graph data analytics.
1,226 stars96 forksPythonGuide quality 8/10Updated 7/24/2026100% free · open source
What it does

YiGraph is an autonomous graph data analytics tool that uses large language models to analyze and generate insights from graph data.

When to use it
  • •When you need to analyze complex relationships in your data
  • •When you want to automate the process of generating graph data insights
  • •When you have large amounts of graph data and need to identify patterns and trends
Ready-to-paste prompt
Run `python main.py --input_data data/graph.csv --output_file output/insights.txt` to generate insights from a sample graph data file
Heads up: Make sure you have Python 3.7 or later installed, as well as the required dependencies specified in the `setup.py` file, including `torch` and `networkx`
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/yigraph && curl -fsSL https://workflowstacks.com/api/skills/yigraph/claude-skill -o ~/.claude/skills/yigraph/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How YiGraph: Unlock Graph Insights works
Codeflow
Free to inspect

YiGraph: Unlock Graph Insights is a large Python project (~49k lines across 108 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 2 months ago, no license file, has a test suite.

Size
Large codebase
~49k lines · 108 code files · ~7 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 48%HTML 27%CSS 20%JavaScript 4%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    aag/main.py
    Where the program starts running
  3. 3
    requirements.txt
    Dependencies and the commands it exposes
What's in each folder
web/Frontend / UI158 files
aag/Folder126 files
docs-site/Folder75 files
figure/Folder12 files
config/Configuration2 files
READMEHas testsDocumentedNo CINo licenseUpdated 2 mo ago
Quick Actions
Details
Creator
iDC-NEU
Language
Python
Category
analytics
Published
7/4/2025

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