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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 info
- `GET /health` - Health check
- `POST /run` - Code execution endpoint
### POST /run
```python
{
"required_modules": ["list", "of", "packages"], # Optional - auto-install
"code": "python code to execute"
}
```
Returns:
```python
{
"output": "execution output"
}
```
## Timeout
- Maximum execution time: 240 seconds |