Easy-to-use library to boost AI inference.
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A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An Easy-to-Use and High-Performance AI deployment framework.
Neural networks framework in pure C: training and inference, no dependencies.
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.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.
Turns your ML code into microservices with web API, interactive GUI, and more.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Parris, the automated infrastructure setup tool for machine learning algorithms.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Open-source vector similarity search for Postgres.
MLOps and LLMOps, from the trenches.
Democratize and productionize Gen AI across your entire org with Portkey.
A workflow management system, designed for modern infrastructure.
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.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
The open source solution for monitoring your AI models in production.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
Testing infrastructure for LLM and agentic applications with collaborative evaluation.