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MLflow

Appears in 7 awesome lists

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Open github.commlflow/mlflow

Found in these lists

Awesome Data Analysis

Section: Tools · Open-source platform for the complete machine learning lifecycle.

FreshScore 80

Awesome LLMOps

Section: LLMOps · An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing.

ActiveScore 75

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · End-to-end open platform for the ML/LLM lifecycle.

FreshScore 89

Awesome Production Machine Learning

Section: Model, Data and Experiment Management · Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment.

FreshScore 92

awesome-python

Section: Other · The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

FreshScore 81

Awesome Python Data Science

Section: Experimentation · Open source platform for the machine learning lifecycle.

ActiveScore 71

Awesome Robotic Tooling

Section: Machine Learning · A platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.

StaleScore 54

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

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Dify

February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…

In 14 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 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