Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Go binding for MXNet c predict api to do inference with a pre-trained model.
Generate & monitor API keys, track usage, and manage Extract/Crawl end-points – all in one place.
Real-time GPU cloud price comparison across 30+ providers.
Create customizable UI components around your models.
Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.
Helps teams build, deploy, observe or operate 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 MLOps project that eases model handoffs between data scientist and DevOps.
Standardized Serverless ML Inference Platform on Kubernetes.
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Neural network inference from the command line, implemented in CHICKEN Scheme.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Algorithms for learning and inference with discrete probabilistic models.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Helps teams build, deploy, observe or operate machine-learning systems.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.