An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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Stan supports deploying, serving, monitoring, or operating AI and machine-learning systems.
SocialBu supports deploying, serving, monitoring, or operating AI and machine-learning systems.
SinglebaseCloud supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
The open source solution for monitoring your AI models in production.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
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.
Democratize and productionize Gen AI across your entire org with Portkey.
MLOps and LLMOps, from the trenches.
Open-source vector similarity search for Postgres.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Turns your ML code into microservices with web API, interactive GUI, and more.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.
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.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.