A flexible and easy to use tool for serving PyTorch models.
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Inference for text-embedding models.
Lets you create apps for your ML projects with deceptively simple Python scripts.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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.
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 vector similarity search for Postgres.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
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.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Neural networks framework in pure C: training and inference, no dependencies.
An Easy-to-Use and High-Performance AI deployment framework.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Easy-to-use library to boost AI inference.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.