arrca-graph

★ 13

lmnr

★ 3.4k

arrca-graph vs lmnr

Q: Which is better, arrca-graph or lmnr?

By GitHub stars, lmnr has more community adoption, but the best choice depends on your specific use case.

arrca-graph: This project provides a live Kubernetes service dependency graph, or service map, built from OpenTelemetry traces and the Kubernetes API. It allows users and LLMs to query service relationships, understand cluster structure, and analyze dependencies for tasks like safe deprecation and blast radius assessment.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.

TL;DR

arrca-graphObservability · ★ 13

Safely deprecating services by identifying all callers of specific API versions.

Read arrca-graph full review →

lmnrObservability · ★ 3.4k

Debugging and understanding the execution flow and internal states of AI agents.

Read lmnr full review →

Side-by-Side Comparison

Field

arrca-graph

lmnr

Features

arrca-graph

01Dynamically builds a relationship graph (service map) from Kubernetes API and OpenTelemetry trace spans.

02Functions without requiring service mesh sidecars or direct kernel access.

03Stores a lightweight, distilled relationship graph optimized for querying by scripts and LLMs, unlike raw trace storage.

04Provides query capabilities via REST API and a Multimodal Conversational Platform (MCP) server for LLM interaction.

lmnr

01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).

02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.

03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.

04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.

05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.

Use Cases

arrca-graph

↳Safely deprecating services by identifying all callers of specific API versions.

↳Assessing the blast radius of changes by determining upstream dependencies of a deployment.

↳Identifying unused APIs or dead code by finding exposed endpoints with no callers.

↳Understanding data-store reach by pinpointing services that interact with a specific database.

↳Analyzing cross-zone traffic patterns for services.

lmnr

↳Debugging and understanding the execution flow and internal states of AI agents.

↳Evaluating the performance, quality, and reliability of AI agents and their responses.

↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.

Best For

arrca-graph

—

lmnr

EssentialTrending

FAQ

What is the difference between arrca-graph and lmnr?

Both arrca-graph and lmnr are in the Observability category. arrca-graph has 13 stars, while lmnr has 3.4k stars.

Which is better, arrca-graph or lmnr?

The best choice depends on your use case. Choose arrca-graph if Safely deprecating services by identifying all callers of specific API versions., and lmnr if Debugging and understanding the execution flow and internal states of AI agents..

Is arrca-graph free or open source?

Yes, arrca-graph is open source on GitHub (Apache-2.0).

Is lmnr free or open source?

Yes, lmnr is open source on GitHub (Apache-2.0).

Cloud Infrastructure

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Alternatives to arrca-graph →Alternatives to lmnr →arrca-graph details →lmnr details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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