A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
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.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Bayesian Inference Tools in Python.
Open-source platform for high-performance ML model serving.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
Open source tool for broadcasting live video streams through simple web-based infrastructure.
Deploy a ML inference service on a budget in less than 10 lines of code.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An easy-to-use feature store. Optimized for time-series data.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source tool that lets you package ML models in a standard, production-ready container.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Fast inference engine for Transformer models in C++.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
10x faster, cheaper, and better vector database.
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
Interactive reports to analyze ML models during validation or production monitoring.
A library for efficient similarity search and clustering of dense vectors.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.