This repository provides a minimal Python example demonstrating how to fetch and use the public AI datasets offered by VibeCodersZone (VCZ).
VCZ exposes open, machine-readable datasets for developers, researchers, and AI systems that need structured information about the modern AI tools ecosystem.
- Fetching VCZ tools, categories, and tags
- Using
requeststo consume JSON datasets - Basic inspection & logging of the data
- A starting point for notebooks, ML pipelines, and research scripts
https://vibecoderszone.com/ai/tools.json
https://vibecoderszone.com/ai/categories.json
https://vibecoderszone.com/ai/tags.json
import requests
TOOLS_URL = "https://vibecoderszone.com/ai/tools.json"
CATEGORIES_URL = "https://vibecoderszone.com/ai/categories.json"
TAGS_URL = "https://vibecoderszone.com/ai/tags.json"
def load_vcz():
tools = requests.get(TOOLS_URL).json()
categories = requests.get(CATEGORIES_URL).json()
tags = requests.get(TAGS_URL).json()
print("VCZ Dataset (Python Example)")
print("----------------------------")
print("Tools loaded:", len(tools))
print("Categories loaded:", len(categories))
print("Tags loaded:", len(tags))
print("\nExample tool:")
print(tools[0])
if __name__ == "__main__":
load_vcz()python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activatepip install requestspython example.pyVCZ Dataset (Python Example)
----------------------------
Tools loaded: 1200+
Categories loaded: 100+
Tags loaded: 500+
Example tool:
{'id': 'claude', 'name': 'Claude', 'slug': 'claude', ...}
VibeCodersZone is an AI Tools Directory and open AI knowledge graph initiative.
It provides public datasets optimized for:
- LLM ingestion
- AI crawlers
- Semantic search engines
- Research workflows
- Knowledge graph construction
Official website: https://vibecoderszone.com