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MLRun

Appears in 4 awesome lists

Open-source AI orchestration platform for quickly building and managing continuous ML and generative AI applications across their lifecycle. Automates data preparation, model tuning, and deployment. Apache 2.0 licensed.

Open github.commlrun/mlrun

Found in these lists

Awesome LLMOps

Section: Experiment Tracking · Machine Learning automation and tracking.

ActiveScore 75

Awesome MLOps

Section: Workflow Tools · Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.

FreshScore 80

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · Open-source AI orchestration platform for quickly building and managing continuous ML and generative AI applications across their lifecycle. Automates data preparation, model tuning, and deployment. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Deployment and Serving · MLRun is an open MLOps framework for quickly building and managing continuous ML and generative AI applications across their lifecycle.

FreshScore 92

LiteLLM

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

Luigi

Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.

In 15 listsDetails

Dagster

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

In 12 listsDetails

KubeStellar Console

Multi-cluster Kubernetes MCP server bridging Gemini CLI to kubeconfig and Kubernetes APIs. Manage clusters, policies, and 20+ CNCF project integrations across edge and cloud. Install via brew tap kubestellar/tap && brew install kc-agent.

In 13 listsDetails

OrcaReplay

by Continuum AI - Records a Claude Code run through a local proxy and replays it offline, reproducing it byte-for-byte with the network off, or forking it from any checkpoint onto a different model. Capture happens below the harness, so shell exit codes, per-turn file changes and MCP calls land on…

In 11 listsDetails

Prefect

Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.

In 11 listsDetails

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails