Work in progress distributed system that simplifies the orchestration of containers and virtual machines.

Prometheus instrumentation library for Python applications

Prometheus / OpenMetrics client library in Rust

The Rust OpenTelemetry implementation

OpenTelemetry Python API and SDK

The Kubernetes Package Manager

Kubernetes IN Docker - local clusters for testing Kubernetes

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…

nannyml: post-deployment data science in python

Apache Spark - A unified analytics engine for large-scale data processing

😎 A curated list of awesome MLOps tools

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

The Pinecone Python client

LlamaIndex is the leading framework for building LLM-powered agents over your data.

🦜🔗 Build context-aware reasoning applications

A hyperparameter optimization framework

Algorithms for explaining machine learning models

A game theoretic approach to explain the output of any machine learning model.

Model interpretability and understanding for PyTorch

Fit interpretable models. Explain blackbox machine learning.

Open source platform for the machine learning lifecycle

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Workflow Engine for Kubernetes

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Machine Learning Toolkit for Kubernetes