Arize Phoenix
Arize Phoenix is an open-source AI observability and evaluation platform developed by Arize AI for tracing, evaluating, and debugging large language model (LLM) and agent applications.
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Arize Phoenix is an open-source AI observability and evaluation platform developed by Arize AI for tracing, evaluating, and debugging large language model (LLM) and agent applications.
AutoML (Automated Machine Learning) is the automation of the end-to-end pipeline of applying machine learning to real-world data, replacing manual trial and error with a formal search over data preprocessing…
BentoML is an open-source Python framework for packaging, serving, and deploying machine learning and AI models as production inference services.
Helicone is an open-source LLM observability platform and AI gateway founded in 2023 by Justin Torre, Cole Gottdank, Barak Oshri, and Scott Nguyen.
Kubeflow is an open-source MLOps platform that runs the entire machine learning lifecycle on Kubernetes, described by its creators as a project "dedicated to making using ML stacks on Kubernetes easy, fast and…
LangSmith is a commercial observability, evaluation, and deployment platform for large language model (LLM) applications and AI agents, developed and operated by LangChain Inc. It provides developers and…
Langfuse is an open-source LLM engineering platform that provides observability, tracing, prompt management, evaluation, and dataset tooling for applications built on large language models.
Lightning AI is a New York based artificial intelligence platform company founded by William Falcon, the creator of the pytorch lightning deep learning framework.
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, covering experiment tracking, model packaging, a model registry, deployment, and (since 2025) generative-AI…
In machine learning, an operation (often abbreviated as op) is a basic computational unit that manipulates data, typically tensors, during the training or execution of a model.
Patronus AI is an automated LLM evaluation, observability, and guardrails platform founded in 2023 and headquartered in San Francisco.
Replicate is a cloud platform for running, deploying, and sharing machine learning models via a simple API.
A SavedModel is the standardized, language-neutral serialization format that TensorFlow uses to package a complete, trained model (its computation graph, its weights, and any supporting assets) as a…
TensorFlow Serving (often shortened to TF Serving) is Google's open source system for serving machine learning models in production: it loads trained models, exposes them over gRPC and REST APIs, and manages…