lmnr
★ 3.4k
vs
sipnab
★ 33
lmnr vs sipnab
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.; sipnab: sipnab is a static binary tool designed to analyze SIP calls, pinpointing reasons for failure by examining live traffic, pcap files, or HEP feeds. It offers comprehensive insights into call flow, RTP quality, and security signals through an interactive TUI, CLI, or JSON output.
01
TL;DR
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
sipnabObservability · ★ 33
Diagnosing failed SIP calls from live traffic or pcap files.
02
Side-by-Side Comparison
Field
lmnrsipnabCategory
Observability
Observability
Stars
★ 3.4k
★ 33
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
curl -fsSL https://sipnab.com/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Observability, Tracing, LLM Evals
SIP Analysis, VoIP Troubleshooting, RTP Monitoring
03
Features
lmnr01OpenTelemetry-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.
sipnab01Multiple output modes (TUI, CLI, JSON, MCP Server)
02Comprehensive RTP quality monitoring including MOS scoring and one-way audio detection
03Advanced security analysis for scanner detection, fraud heuristics, and STIR/SHAKEN
04Support for HEP v3 (Homer Encapsulation Protocol) for centralized monitoring
05TLS/SRTP decryption for secure communication analysis
04
Use Cases
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.
sipnab↳Diagnosing failed SIP calls from live traffic or pcap files.
↳Monitoring RTP quality (jitter, loss, MOS) and detecting one-way audio.
↳Centralized VoIP estate monitoring via HEP v3 from proxy servers like Kamailio or OpenSIPS.
↳Automating problem call identification and reporting in JSON format for further analysis.
05
Best For
lmnrEssentialTrending
sipnab—
FAQ
FAQ
What is the difference between lmnr and sipnab?
Both lmnr and sipnab are in the Observability category. lmnr has 3.4k stars, while sipnab has 33 stars.
Which is better, lmnr or sipnab?
The best choice depends on your use case. Choose lmnr if Debugging and understanding the execution flow and internal states of AI agents., and sipnab if Diagnosing failed SIP calls from live traffic or pcap files..
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
Is sipnab free or open source?
Yes, sipnab is open source on GitHub (Apache-2.0).
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