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Traceloop vs Weka

Traceloop logo

Traceloop

Logging

LLM reliability platform with open-source observability and evaluation

From
Free
Rated
-
Weka logo

Weka

Machine Learning

Collection of machine learning algorithms

From
Free
Rated
-

The short version

  • Each has a real cost: Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
  • They diverge on capability: Traceloop covers Open-source SDK (OpenLLMetry), Weka covers Classification.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Traceloop and Weka actually diverge.

Attributes where Traceloop and Weka differ
AttributeTraceloopWeka
Pricing modelFreemium with pay-as-you-go enterprise optionopen-source
PlatformsCloud, On-premises, Air-gapped, Python, TypeScript, Go, RubyLinux, Mac, Windows
CategoryLoggingMachine Learning
FoundedUnknown1993

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
  • Framework support
  • Monitoring dashboard
  • Evaluation system
  • Deployment flexibility

Only in Weka

  • Classification
  • Regression
  • Clustering
  • Association rules
  • Feature selection
  • Java
  • R
  • Python

What people use each for

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

Traceloop

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

Weka

  • Teaching and exploring classic machine learning algorithms through a GUInot Traceloop
  • Running data mining experiments and preprocessing without writing codenot 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

Weka

  • The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
  • Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
  • Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture

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

Weka

Free
  • Open SourceFree
    • All ML algorithms
    • GUI and CLI
    • Java API

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.

Choose Weka if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want regression.

Questions people ask

Is Traceloop or Weka better?
Neither clearly leads. Traceloop starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Traceloop or Weka?
Traceloop starts at Free and Weka at Free.
Does Traceloop or Weka run on more platforms?
Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby. Weka runs on Linux, Mac, Windows.
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 Weka is typically brought in for.
What can Traceloop do that Weka cannot?
Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support. Weka covers Classification, Regression, Clustering, Association rules.

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
Weka: What is the cost of Weka software?

Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.

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
Weka: Are there commercial licensing options available?

Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.

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
Weka: What support resources are available to users?

Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.

Source
Weka: Is source code access provided?

Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.

Source
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