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Traceloop vs Langwatch

Traceloop logo

Traceloop

Logging

LLM reliability platform with open-source observability and evaluation

From
Free
Rated
-
Full reviewWebsite
Langwatch logo

Langwatch

Machine Learning

LLM engineering platform for testing and evaluating AI agents in production

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use; Langwatch free plan limited to 50k events per month, restricting larger deployments
  • They diverge on capability: Traceloop covers Open-source SDK (OpenLLMetry), Langwatch covers Agent simulation testing.

Where they differ

Only the attributes on which Traceloop and Langwatch actually diverge.

Attributes where Traceloop and Langwatch differ
AttributeTraceloopLangwatch
Pricing modelFreemium with pay-as-you-go enterprise optionTiered subscription with usage-based overage charges
PlatformsCloud, On-premises, Air-gapped, Python, TypeScript, Go, RubyWeb, Docker, Kubernetes
CategoryLoggingMachine Learning

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Traceloop

  • Open-source SDK (OpenLLMetry)
  • Multi-provider support
  • Observability platform integration
  • Monitoring dashboard
  • Evaluation system
  • Deployment flexibility

Only in Langwatch

  • Agent simulation testing
  • LLM evaluation
  • OpenTelemetry tracing
  • Langy AI Engineer
  • Governance controls
  • Multiple deployment options

Both cover

  • Framework support

What people use each for

The jobs each tool is most often brought in to do.

Traceloop

  • Monitoring LLM application performance in productionnot Langwatch
  • Instrumenting LLM apps with minimal code overheadnot Langwatch
  • Continuous evaluation and quality scoring of LLM outputsnot Langwatch
  • Debugging LLM application issues with full trace visibilitynot Langwatch
  • Integrating observability data into existing monitoring stacksnot Langwatch

Langwatch

  • Continuous testing of AI agents before production deploymentnot Traceloop
  • Automated test creation from product requirementsnot Traceloop
  • LLM response quality evaluation and scoringnot Traceloop
  • Production agent monitoring and cost trackingnot Traceloop
  • Governance and access control for AI systemsnot Traceloop

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Traceloop

  • Free tier limited to 50k spans per month and 24-hour retention, restricting production use
  • Company acquisition by ServiceNow creates uncertainty about future roadmap
  • Requires integration with separate observability platforms for visualization
  • Less feature-rich than dedicated LLM evaluation platforms

Langwatch

  • Free plan limited to 50k events per month, restricting larger deployments
  • Pricing in EUR may complicate budgeting for US-based teams
  • Usage-based overage model can create unpredictable costs
  • Self-hosted option requires DevOps expertise

Pricing, plan by plan

Traceloop

Free
  • FreeFree
    • 50,000 spans per month
    • Up to 5 seats
    • 24-hour data retention
  • Enterprise$undefined/custom
    • Unlimited spans per month
    • Unlimited seats
    • Custom data retention

Langwatch

Free
  • DeveloperFree
    • 50k events per month
    • 14-day data access
    • 2 users
  • Growth$29/month
    • 200k events per month included
    • 5 EUR per 100k additional events
    • 30-day data retention
  • Enterprise$undefined/custom
    • Custom event limits
    • Hybrid, self-hosted or on-premises deployment
    • Custom SSO and RBAC

Which should you pick?

Choose Traceloop if

  • You need open-source sdk (openllmetry).
  • You want to start without paying.
  • You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
  • You also want multi-provider support.
Traceloop review

Choose Langwatch if

  • You need agent simulation testing.
  • You want to start without paying.
  • You work on Web, Docker, Kubernetes.
  • You also want llm evaluation.
Langwatch review

Questions people ask

Is Traceloop or Langwatch better?
Neither clearly leads. Traceloop starts at Free and Langwatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Traceloop or Langwatch?
Traceloop starts at Free and Langwatch at Free.
Does Traceloop or Langwatch run on more platforms?
Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby. Langwatch runs on Web, Docker, Kubernetes.
Can I use Traceloop for free?
Both have a free tier, so you can try either at no cost before committing.
What is Traceloop best used for?
Traceloop is most often used for monitoring llm application performance in production, instrumenting llm apps with minimal code overhead, continuous evaluation and quality scoring of llm outputs, debugging llm application issues with full trace visibility. Of those, monitoring llm application performance in production and instrumenting llm apps with minimal code overhead are not what Langwatch is typically brought in for.
What can Traceloop do that Langwatch cannot?
Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Monitoring dashboard. Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer. Both handle Framework support.

Answered from the vendors’ own pages

Traceloop: Is OpenLLMetry open-source?

Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.

Source
Langwatch: Is there a permanent free tier?

Yes, Langwatch's Developer plan is free forever with 50k events per month, 14-day data access, 2 users, and no credit card required. It is specifically designed for individual developers prototyping AI applications.

Source
Traceloop: What is the impact of ServiceNow acquisition?

Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.

Source
Langwatch: What is Langy and how does it save time?

Langy is an AI-powered tool that automates test creation. It converts product requirements into test scenarios, runs simulations, scores results, and generates pull requests with fixes in a median of 14 minutes.

Source
Traceloop: How many LLM providers and frameworks does Traceloop support?

Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.

Source
Langwatch: What frameworks does Langwatch support?

Langwatch works with LangGraph, LangChain, CrewAI, OpenAI Agents, AWS Bedrock, Azure OpenAI, Vertex AI, and other major LLM frameworks and platforms.

Source
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