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Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.

HF Learn supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.

LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.

Platform for deploying your Machine Learning to production.

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Infer.NET provides machine-learning models, research, training resources, or evaluation tools.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Kubernetes-based system for hyperparameter tuning and neural architecture search.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Standardized Serverless ML Inference Platform on Kubernetes.

KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

FastAPI framework to build production-grade LLM applications.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Serverless LLM apps on Production with Jina AI Cloud (Archived).

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.