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metadata
title: KGoT Python Executor
emoji: 🐍
colorFrom: blue
colorTo: gray
sdk: docker
app_port: 7860
Remote Python executor for Knowledge Graph of Thoughts with comprehensive ML/data science capabilities.
Hardware
- CPU Basic (Free): 2 vCPU, 16GB RAM, 50GB ephemeral disk
Included Libraries
Core Data
- numpy, pandas
NLP
- nltk, spacy, transformers, textblob, gensim, fastembed
Vision
- pillow, opencv-python-headless, torchvision, scikit-image
Advanced Data
- polars, duckdb, sktime
Time Series & Graph
- torch (CPU), torch_geometric, networkx
- pyg_lib, torch_scatter, torch_sparse, torch_cluster
Audio
- pydub, soundfile, librosa
Documents
- python-docx, csvkit, rich, svgwrite, svgpathtools, PyMuPDF
Utilities
- pydantic, tqdm, ipython, click, tenacity, ujson, msgpack, xxhash, zstandard, httpx
ML
- scikit-learn, joblib
Visualization
- matplotlib, seaborn
API Endpoints
GET /- Basic service infoGET /health- Health checkPOST /run- Code execution endpoint
POST /run
{
"required_modules": ["list", "of", "packages"], # Optional - auto-install
"code": "python code to execute"
}
Returns:
{
"output": "execution output"
}
Timeout
- Maximum execution time: 240 seconds