MLOps Toolsets for Different ML Types

I’ve been playing with various ML training tools and different monitoring and operations tools. I’ve been unsure if it’s one size fits all (e.g. langsmith or mlflow) or whether certain tools are more proportionate for the need. I haven’t gone into licencing costs but for each ML Type, I have put together a list of what I think are appropriate tools and a sub article (under ML Type) showing how I have implemented each.

ML Types and MLOps Tools

ML type	Typical use cases	Training / experiment	Serving / deploy	Monitoring / ops
Classical Linear / logistic regression	Forecasting, pricing, churn prediction, A/B test analysis	scikit-learn Statsmodels MLflow W&B	Flask FastAPI BentoML SageMaker Vertex AI	Evidently AI Prometheus Grafana WhyLabs
Classical SVMs / k-NN / naive Bayes	Text classification, anomaly detection, recommendation	scikit-learn MLflow DVC Optuna	ONNX Runtime Seldon Core KServe	Evidently AI Arize Prometheus
Ensemble Random forest / gradient boosting	Tabular data, A&E acuity predictions, hospital utilisation, fraud detection	XGBoost LightGBM CatBoost MLflow Optuna	Triton SageMaker Databricks BentoML	Evidently AI NannyML Fiddler Grafana
Deep learning CNNs (computer vision)	Image classification, object detection, medical imaging, video	PyTorch TensorFlow Keras W&B ClearML	TorchServe Triton TFServing SageMaker Vertex AI	Arize WhyLabs Seldon Alibi Prometheus
Deep learning RNNs / LSTMs	Time series forecasting, speech recognition, sequence modeling	PyTorch TensorFlow MLflow W&B	TorchServe Triton AWS Lambda KServe	Arize Evidently AI Grafana
Deep learning GANs / VAEs	Image generation, data augmentation, style transfer, drug discovery	PyTorch TensorFlow W&B Neptune	Triton Replicate Modal	W&B Prometheus
Transformer Transformers (NLP)	Sentiment analysis, NER, translation, summarization	Hugging Face PyTorch DeepSpeed W&B	HF Inference vLLM Triton SageMaker	LangSmith Arize Phoenix WhyLabs
Diffusion Diffusion models	Text-to-image, inpainting, video generation, 3D	Diffusers PyTorch W&B Comet	Replicate Modal RunPod Triton	W&B Prometheus
Reinforcement Reinforcement learning	Robotics, game AI, rec systems, autonomous vehicles	Ray / RLlib Stable Baselines3 W&B MLflow	Ray Serve SageMaker RL	Ray Dashboard Prometheus
Foundation LLMs (GPT, Claude, Llama)	Chat, code gen, agents, RAG, reasoning, content creation	PyTorch DeepSpeed Megatron FSDP Axolotl W&B	vLLM TGI Ollama Triton Anyscale Together AI	LangSmith Arize Phoenix Braintrust Humanloop PromptLayer