awesome-mlops/requirements.txt at main · umitkacar/awesome-mlops · GitHub

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# MLOps Ecosystem 2024-2025 - Requirements
# Core ML Libraries
numpy>=1.24.0
pandas>=2.0.0
scikit-learn>=1.3.0
scipy>=1.11.0

# Deep Learning Frameworks
torch>=2.0.0
tensorflow>=2.13.0

# LLMOps & GenAI (2024-2025 Hot!)
langchain>=0.1.0
llama-index>=0.9.0
litellm>=1.0.0
openai>=1.0.0
anthropic>=0.8.0

# Vector Databases
qdrant-client>=1.7.0
chromadb>=0.4.0
pymilvus>=2.3.0
weaviate-client>=3.25.0

# Experiment Tracking
mlflow>=2.9.0
wandb>=0.16.0
neptune>=1.8.0

# Data Validation & Quality
great-expectations>=0.18.0
evidently>=0.4.0
deepchecks>=0.17.0

# Model Serving
bentoml>=1.1.0
fastapi>=0.108.0
uvicorn>=0.25.0

# Workflow Orchestration
prefect>=2.14.0
apache-airflow>=2.8.0

# AutoML & Optimization
autogluon>=0.8.0
optuna>=3.5.0
pycaret>=3.2.0

# Feature Store
feast>=0.35.0

# UI Frameworks
gradio>=4.10.0
streamlit>=1.29.0

# Model Optimization
onnx>=1.15.0
onnxruntime>=1.16.0

# Security & Governance
shap>=0.44.0

# Utilities
python-dotenv>=1.0.0
pydantic>=2.5.0
requests>=2.31.0
tqdm>=4.66.0
jupyter>=1.0.0
notebook>=7.0.0

# Data Processing
Pillow>=10.1.0
matplotlib>=3.8.0
seaborn>=0.13.0
plotly>=5.18.0

# CLI & Development
click>=8.1.0
rich>=13.7.0
typer>=0.9.0