Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An open source Python library for drift detection in machine learning systems.
A system for declaratively creating graphics, based on.
An offline recommender system backend based on collaborative filtering written in Go.
GraphPipe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Groq supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Guild AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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.
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.
Distributed POSIX file system built on top of Redis and S3.
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.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
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.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Build, packaging, and run system for ephemeral multi-container environments.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Agentic components of the Llama Stack APIs.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.