PyTorch
Native callback integration. Auto-log training metrics, gradients, and model checkpoints.
TensorFlow / Keras
Keras callback and TF summary writer integration for seamless experiment tracking.
Hugging Face
Trainer integration for transformers. Track fine-tuning runs and model evaluations.
AWS SageMaker
Deploy tracked models directly to SageMaker endpoints with full lineage preserved.
Google Cloud AI
Vertex AI integration for training, serving, and monitoring models on GCP.
Lightning AI
PyTorch Lightning logger for automatic metric and hyperparameter capture.
LangChain
Trace LLM chains, track token usage, and evaluate chain outputs end-to-end.
LlamaIndex
Monitor RAG pipelines, track retrieval quality, and evaluate generated responses.
Docker & Kubernetes
Containerized deployments with Helm charts and K8s operator for on-premise installs.