archestra
★ 4.4k
vs
sipnab
★ 33
archestra vs sipnab
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; 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
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
sipnabObservability · ★ 33
Diagnosing failed SIP calls from live traffic or pcap files.
02
Side-by-Side Comparison
Field
Category
Observability
Observability
Stars
★ 4.4k
★ 33
License
AGPL-3.0 (enterprise parts under a commercial license)
Apache-2.0
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
curl -fsSL https://sipnab.com/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
SIP Analysis, VoIP Troubleshooting, RTP Monitoring
03
Features
01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
01Multiple 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
↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
↳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
EssentialTrending
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FAQ
FAQ
What is the difference between archestra and sipnab?
Both archestra and sipnab are in the Observability category. archestra has 4.4k stars, while sipnab has 33 stars.
Which is better, archestra or sipnab?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and sipnab if Diagnosing failed SIP calls from live traffic or pcap files..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is sipnab free or open source?
Yes, sipnab is open source on GitHub (Apache-2.0).
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