54 lines
1.3 KiB
Plaintext
54 lines
1.3 KiB
Plaintext
websockets>=10.0
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websocket-client>=1.0.0
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plotly>=5.18.0
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dash>=2.14.0
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pandas>=2.0.0
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numpy>=1.24.0
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python-dotenv>=1.0.0
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psutil>=5.9.0
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tensorboard>=2.15.0
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scikit-learn>=1.3.0
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matplotlib>=3.7.0
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seaborn>=0.12.0
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ta>=0.11.0
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ccxt>=4.0.0
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dash-bootstrap-components>=2.0.0
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asyncio-compat>=0.1.2
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wandb>=0.16.0
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pybit>=5.11.0
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requests>=2.31.0
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asyncpg>=0.29.0
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# COBY System Dependencies
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fastapi>=0.104.0
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uvicorn>=0.24.0
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pydantic>=2.5.0
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python-multipart>=0.0.6
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aiohttp>=3.9.0
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redis>=5.0.0
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scipy>=1.11.0
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structlog>=23.2.0
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click>=8.1.0
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rich>=13.7.0
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# DuckDB for data storage
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duckdb>=0.9.0
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# Flask for ANNOTATE system
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Flask>=3.0.0
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flask-cors>=4.0.0
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# NOTE: PyTorch is intentionally not pinned here to avoid pulling NVIDIA CUDA deps on AMD machines.
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# Install one of the following sets manually depending on your hardware:
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#
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# CPU-only (AMD/Intel, no NVIDIA CUDA):
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
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#
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# NVIDIA GPU (CUDA):
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# Visit https://pytorch.org/get-started/locally/ for the correct command for your CUDA version.
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# Example (CUDA 12.1):
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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#
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# AMD Strix Halo NPU Acceleration:
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# pip install onnxruntime-directml onnx transformers optimum
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