DeepYard

Langfuse vs LlamaIndex

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Langfuse suits teams needing freemium free tier, observability focus, and 33,539 GitHub stars in current listing data. LlamaIndex suits teams needing open-source access, data framework focus, and 51,792 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
L

Langfuse

Open-source LLM engineering platform — traces, evals, prompt management — 23K+ stars

OSSfreemium
33.5Ktoday196
Visit GitHub
L

LlamaIndex

Data framework for LLM applications — RAG, agents, and workflows — 47K+ stars

OSSFree
51.8K2d ago475
Visit GitHub
MetricLangfuseLlamaIndex
GitHub Stars33.5K51.8K
Contributors196475
Last CommitAug 22, 2026Aug 20, 2026
Open Issues811651
Licenseopen-sourceopen-source
Pricingfreemiumopen-source
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Choose Langfuse if you need

  • • Langfuse stands out for Observability workflows that are not listed for LlamaIndex.
  • • Langfuse is the stronger pick when Langchain matters because that capability is listed only on its profile.
  • • Langfuse is the cleaner fit if you specifically need Observability workflows from the catalog tags.

Choose LlamaIndex if you need

  • • LlamaIndex stands out for Data Framework workflows that are not listed for Langfuse.
  • • LlamaIndex is the stronger pick when Gemini matters because that capability is listed only on its profile.
  • • LlamaIndex shows broader GitHub adoption with 51,792 stars versus 33,539 for Langfuse.

Meaningful differences

  • • Pricing model: Langfuse is listed as freemium, while LlamaIndex is listed as open-source.
  • • Workflow emphasis: Langfuse highlights Observability, while LlamaIndex highlights Data Framework.
  • • GitHub adoption: Langfuse shows 33,539 stars versus 51,792 for LlamaIndex.
  • • Contributor count: Langfuse lists 196 contributors and LlamaIndex lists 475.

Shared capabilities

  • • Open Source
  • • Openai
  • • Anthropic

Shared Tags

open-source

Only in Langfuse

observabilitytracingevaluationprompt-managementanalytics

Only in LlamaIndex

ragdata-frameworkagentsworkflowspython

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About Langfuse

Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.

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About LlamaIndex

LlamaIndex is the leading data framework for building LLM-powered applications. Provides data connectors for 160+ sources, advanced RAG pipelines, document agents, and a workflow engine for complex agentic applications. The standard for connecting LLMs to your data.

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