THE COMPARISON / A CLOSER LOOK

Opik by Comet vs Helicone

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

Opik by Comet

🔴Developer

LLM Observability & Evals

Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Helicone

🔴Developer

AI Monitoring

Open-source LLM observability and gateway platform offering one-line integration, request logging, prompt management, evals, and a multi-provider proxy.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Feature Comparison

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FeatureOpik by CometHelicone
CategoryLLM Observability & EvalsAI Monitoring
Pricing Plans4 listed plans4 listed plans
Starting PriceFreeFree
Key Features
  • • Trace & Span Logging: Capture and inspect the steps involved in an LLM application request so teams can understand how prompts, model calls, and application logic contribute to outputs.
  • • LLM Application Improvement: Use trace, evaluation, monitoring, and prompt-related workflows together to support iterative improvement of LLM-backed features.
  • • Open-Source Reviewability: The supplied metadata identifies Opik as open source with an Apache-2 tag, which can help teams inspect, extend, or evaluate the tool before committing to a hosted workflow.
  • • Proxy-Based Request Logging
  • • Cost Analytics & Budget Alerts
  • • Gateway-Level Caching

Opik by Comet - Pros & Cons

Pros

  • ✓True Apache 2.0 open source with a self-hostable backend — no source-available rug pull risk
  • ✓SDKs for Python, TypeScript, and Ruby (Ruby support is uncommon among competitors)
  • ✓Wide framework coverage: LangChain, LlamaIndex, LiteLLM, CrewAI, AutoGen, DSPy
  • ✓Free hosted cloud is genuinely usable for individuals and small teams
  • ✓Backed by Comet's mature ML observability lineage, not a brand-new startup

Cons

  • ✗Self-hosting Opik requires real DevOps work — not a Docker-and-forget situation at scale
  • ✗Some evaluators are still maturing compared to specialist eval tools like Braintrust
  • ✗Team-tier pricing is gated behind sales contact
  • ✗Ecosystem is smaller than LangSmith for LangChain-specific workflows

Helicone - Pros & Cons

Pros

  • ✓Truly one-line integration — fastest path to LLM logging in the market
  • ✓Open source under Apache 2.0 with viable self-host story (not just open-core marketing)
  • ✓Generous 10,000-request free tier covers most prototypes and small side projects
  • ✓Gateway + observability in one tool reduces vendor count for small teams
  • ✓Vault feature lets you put provider keys server-side without rewriting the client

Cons

  • ✗Proxy adds 50–200ms latency in some regions versus calling the provider directly
  • ✗Async/log-only mode exists but loses many gateway features (caching, fallback)
  • ✗Trace/session UI is less polished than LangSmith for deeply nested agent runs
  • ✗$79 → $799 jump from Pro to Team is steep if you only need SSO
  • ✗Self-host docs assume Kubernetes/Postgres comfort; not push-button

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🔒 Security & Compliance Comparison

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Security FeatureOpik by CometHelicone
SOC2—✅ Yes
GDPR—✅ Yes
HIPAA—❌ No
SSO—✅ Yes
Self-Hosted—✅ Yes
On-Prem—✅ Yes
RBAC—✅ Yes
Audit Log—✅ Yes
Open Source—✅ Yes
API Key Auth—✅ Yes
Encryption at Rest—✅ Yes
Encryption in Transit—✅ Yes
Data Residency—US, EU
Data Retention—configurable
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