Awesome Generative AI
Section: LLMOps · LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
SlowScore 62
Entry
LLM App
Appears in 5 awesome lists
LLM App is a Python library that helps you build real-time LLM-enabled data pipelines with few lines of code.
Open github.compathwaycom/llm-app
Found in these lists
Awesome LLMOps
Section: LLMOps · LLM App is a Python library that helps you build real-time LLM-enabled data pipelines with few lines of code.
ActiveScore 75
Awesome local LLM
Section: Retrieval-Augmented Generation · ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
FreshScore 87
Awesome Vector Search
Section: Library
ActiveScore 73
Awesome Generative AI
Section: Developer tools · Open-source Python library to build real-time LLM-enabled data pipeline.
FreshScore 90
Often listed next to it
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
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
Phoenix
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
In 10 listsDetails
Langfuse
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.
In 10 listsDetails