Awesome Argo
Section: Ecosystem Projects · is a Python library for building and managing real-life data science projects.
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Appears in 6 awesome lists
Netflix's ML platform for building and managing real-world AI systems. Powers thousands of projects at Netflix, Amazon, and DoorDash. Apache 2.0 licensed.
Section: Ecosystem Projects · is a Python library for building and managing real-life data science projects.
Section: Tools · A human-friendly Python library for helping scientists and engineers build and manage real-life data science projects.
Section: Workflow · Build and manage real-life data science projects with ease!
Section: 8. MLOps / LLMOps & Production · Netflix's ML platform for building and managing real-world AI systems. Powers thousands of projects at Netflix, Amazon, and DoorDash. Apache 2.0 licensed.
Section: Data Pipeline · A framework for data scientists to easily build and manage real-life data science projects.
Section: Data Science and Analytics · Build, Manage and Deploy AI/ML Systems
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…
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…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
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,…
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.
State-of-the-art serving engine with PagedAttention and continuous batching. Currently the fastest production-grade LLM server.