SwarmTrace vs Arize Phoenix

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-30
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At a glance

DimensionSwarmTraceArize Phoenix
PricingContact (custom)Free (open-source, self-host) + cloud free tier
Core FocusTime-travel replay debuggingFull observability, evals & experiments
InstrumentationCustom SDKsOpenTelemetry-native
EvaluationNot listedLLM-as-judge, human annotations, experiment tracking
DeploymentNot specifiedLocal, Docker, Kubernetes, or cloud
IntegrationsOpenAI, Anthropic, LangChain, LlamaIndex, AutoGen, CrewAILlamaIndex, LangChain, OpenAI, NVIDIA NeMo, Hugging Face, OpenTelemetry

If your pain is 'why did my multi-agent system do that yesterday?' and you need frame-by-frame replay of every message and state change, SwarmTrace's time-travel debugging is unmatched. But if you're building production LLM apps and want tracing, quality evals, and experiment tracking in one open-source stack that runs anywhere, Arize Phoenix is the safer, more feature-complete default — especially since it's free.

SwarmTrace
SwarmTrace

Time-travel debugger for multi-agent AI pipelines

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Arize Phoenix
Arize Phoenix

Arize Phoenix is open-source LLM observability and evals that trace every agent step so you can ship reliable AI agents.

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Pricing
Contact Sales
Freemium
Plans
—
$0/mo
$50/mo
Custom
Popularity
4 views
7.3k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIDesktopAPI
WebAPICLI
Categories
📡 LLM Observability & Evals🕸️ Agent Frameworks & Orchestration
📡 LLM Observability & Evals
Features
Time-travel recording of agent executions
Step-by-step replay of multi-agent interactions
Full state inspection at any point in the trace
Timeline navigation to jump between events
Search and filter across agent messages and events
Visualization of agent call trees and dependencies
Session sharing for collaborative debugging
Integration with major LLM providers
Custom instrumentation via SDK
Trace export for external analysis
End-to-end tracing of agent prompts, retrievals, tool calls, and outputs
OpenTelemetry-native instrumentation with no proprietary lock-in
LLM-as-judge evaluations on traces, spans, datasets, and experiments
Human annotations and labeling queues with review workflows
Annotation queues that accept full multi-turn sessions and complete traces
Build datasets directly from production traces
Run experiments to benchmark changes under identical conditions
Prompt IDE with multi-prompt comparison and versioning
PXI: AI engineering agent that investigates, annotates, and experiments via chat
Multi-modal tracing and evaluation for image, voice, and PDF data
Session-level trace grouping for multi-turn agent conversations
Agent trajectory visualizations as path and graph views
Custom dashboards, metrics, monitors, and trace views
Self-host locally, in Docker, or on Kubernetes with Helm
Phoenix Cloud: two free instances with no infrastructure setup
Integrations
OpenAI
Anthropic
LangChain
LlamaIndex
AutoGen
CrewAI
OpenTelemetry
Kubernetes
Docker

What real users say: SwarmTrace vs Arize Phoenix

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

SwarmTrace

No verifiable community signal. We scanned public discussion on Sep 27, 2026 and found posts matching the name “SwarmTrace”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Arize Phoenix

27 mentions across 3 sources · 56% positive — mixed (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • OpenTelemetry-native tracing avoids proprietary lock-in and works across any model, framework, or language
  • • Developers actively wire custom LiteLLM proxies to emit spans into Phoenix for Claude Code debugging
  • • Runs locally with a single `uvx arize-phoenix serve` command in under a minute
  • • Two free Phoenix Cloud instances give teams a zero-infrastructure way to evaluate

What frustrates them

  • • No Reddit, GitHub, or Stack Overflow data surfaced, so bug and support track record is unverified
  • • Practitioners note a thin trace logger plus notebook may cover most teams' actual eval needs
  • • OpenTelemetry instrumentation requires manual wiring across frameworks, which some find overcomplicated
  • • Self-hosted deployments leave upgrades, scaling, and retention entirely on the customer

Researched Sep 29, 2026

Who should pick which

  • Solo founder building a multi-agent app
    Pick: Arize Phoenix

    Free, quick to start with OpenTelemetry, and includes evals to refine your agents without extra cost.

  • MLOps engineer debugging intermittent agent failures
    Pick: SwarmTrace

    Time-travel replay of exact state transitions is perfect for reproducing and fixing non-deterministic bugs.

  • Enterprise needing on-prem observability
    Pick: Arize Phoenix

    Self-host via Docker/Kubernetes gives full control for compliance, and it's open-source.

  • Platform team standardizing on agent tracing
    Pick: Arize Phoenix

    Vendor-agnostic, supports multiple frameworks, and includes evals/experiments for QA.

  • Researcher evaluating prompt variations
    Pick: Arize Phoenix

    Built-in experiment tracking and LLM-as-judge make A/B testing prompts straightforward.

Frequently Asked Questions

SwarmTrace vs Arize Phoenix: which should you choose?

If your pain is 'why did my multi-agent system do that yesterday?' and you need frame-by-frame replay of every message and state change, SwarmTrace's time-travel debugging is unmatched. But if you're building production LLM apps and want tracing, quality evals, and experiment tracking in one open-source stack that runs anywhere, Arize Phoenix is the safer, more feature-complete default — especially since it's free.

Do both tools support AutoGen and CrewAI?

SwarmTrace lists both AutoGen and CrewAI as integrations. Arize Phoenix does not list them in the provided data.

Can I deploy Arize Phoenix on my own infrastructure?

Yes, Phoenix can be self-hosted locally, via Docker, or Kubernetes, and it's also available as a cloud instance with a free tier.

Does SwarmTrace offer any free or open-source version?

The data shows SwarmTrace is 'contact us' pricing, with no mention of a free tier or open-source availability.

Which tool has built-in evaluation features?

Arize Phoenix includes LLM-as-judge evaluation and human annotations. SwarmTrace does not list any evaluation features.

What is PXI in Arize Phoenix?

PXI is an AI engineering agent that lets you chat with your traces to understand and debug issues in natural language.

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Last reviewed: August 15, 2026