vioscaleAI
Comparison

Lunary vs Opik

On the evidence we track, Lunary leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Lunary full profile →Opik full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Lunary70
Opik53
Score
vioscaleAI score
Lunary70 / 100medium · 73%
Opik53 / 100low · 29%
Pricing
Free tier
Lunary✓
Opik✓
Model
Price level
Lunarylow
Opikfree
Starting price
Lunary$0.05
Opik–
Transparent
Lunary✓
Opik✗
Integrations
Count
Lunary31
Opik1
Security
Certifications
LunarySOC 2 Type II
Opik–
Gdpr
Lunary✓
Opik–
Iso27001
Lunary✓
Opik–
Soc2
Lunary✓
Opik–
Reliability
Sla pct
Lunary99.9
Opik–
Market
Availability
Content
Faq
Lunary7 items
Opik4 items

Capabilities

Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.

Capabilities
Architecture model
LunaryManaged cloud saas
OpikOpen source self hosted
Token cost and latency waterfall charts
Lunary✓
Opik✓
Opentelemetry openllmetry native export support
Lunary✓
Opik✓
Prompt playground and in dashboard replay
Lunary✓
Opik✓
Multi step agentic workflow distributed tracing
Lunary✓
Opik✓
User feedback score API for thumbs up down tags
Lunary✗
Opik✓
Pii redaction and prompt content masking
Lunary✓
Opik✓
Production ab testing of system prompts
Lunary✓
Opik-
Automated anomaly detection for rate limits
Lunary✓
Opik-
Native integration with langchain and llamaindex
Lunary✓
Opik-
SOC2 type ii
Lunary✓
Opik-
Mit or apache permissive oss license
Lunary✗
Opik✓
Pricing model
LunaryPer user seat
OpikFree open source

What each one is

The product in its own terms, so the numbers below have context.

Lunary

Leader

A platform for teams to monitor LLM performance, manage prompts collaboratively, and deploy AI agents with real-time performance tracking and cost analysis. Supports logging, prompt templates, agent monitoring, and integrations with popular LLM providers.

Independently observed

Opik

A comprehensive observability and evaluation platform for debugging, testing, and monitoring LLM applications through detailed execution traces, prompt experimentation, and production dashboards.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Lunary

Leader
from $0.05/query/moSubscriptionFree tier

From $20/user/month cloud. Free self-hosted community edition.

  • Team$20/user/mo, then $10/50k events and $0.05/query overage
    • 50,000 events per month
    • 300 AI Playground queries per month
    • Unlimited projects
    • 1 year history
    • Prompt management
    • +8 more
  • EnterpriseContact sales
    • SSO / SAML
    • Granular Access Control
    • 99.9% SLA
    • White labeling
    • Data Warehouse connectors
    • +4 more
  • Self-hosted CommunityFree
  • Self-hosted EnterpriseContact sales
as of verify ↗

Opik

Open sourceFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Lunary✓
Opik✓
Deployment
Cloud / SaaS
Lunary✓
Opik✓
Self-hosted
Lunary✓
Opik✓
On-premise
Lunary✓
Opik✓
Hybrid
Lunary✓
Opik✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Lunary

Leader
32 total
  • Anthropic
  • Flowise
  • LangChain
  • OpenRouter
  • IBM WatsonX
  • Mistral
  • Grok
  • Fireworks AI
  • AWS Bedrock
  • Azure OpenAI
  • OpenAI
  • Ragas
  • LiteLLM
  • LlamaIndex
  • Langflow
  • PowerBI
  • Tableau
  • MySQL
  • Amplitude
  • Airbyte
  • Segment
  • Slack
  • Zapier
  • Redshift
  • +8 more
Independently observed

Opik

1 total
  • OpenTelemetry
Independently observed
Still deciding?

Lunary or Opik: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.