Arize Phoenix vs Langfuse
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Arize Phoenix suits teams needing freemium free tier, tracing focus, and 11,142 GitHub stars in current listing data. Langfuse suits teams needing freemium free tier, prompt management focus, and 33,539 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
| Metric | Arize Phoenix | Langfuse |
|---|---|---|
| GitHub Stars | 11.1K | 33.5K |
| Contributors | 207 | 196 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 929 | 811 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Arize Phoenix if you need
- • Arize Phoenix stands out for Tracing workflows that are not listed for Langfuse.
- • Arize Phoenix has a larger visible contributor base (207 vs 196).
- • Arize Phoenix is the cleaner fit if you specifically need Opentelemetry workflows from the catalog tags.
Choose Langfuse if you need
- • Langfuse stands out for Prompt Management workflows that are not listed for Arize Phoenix.
- • Langfuse is the stronger pick when Anthropic matters because that capability is listed only on its profile.
- • Langfuse shows broader GitHub adoption with 33,539 stars versus 11,142 for Arize Phoenix.
Meaningful differences
- • Pricing model: Arize Phoenix is listed as freemium from Free (self-hosted), cloud plans available, while Langfuse is listed as freemium.
- • Workflow emphasis: Arize Phoenix highlights Tracing, while Langfuse highlights Prompt Management.
- • GitHub adoption: Arize Phoenix shows 11,142 stars versus 33,539 for Langfuse.
- • Contributor count: Arize Phoenix lists 207 contributors and Langfuse lists 196.
Shared capabilities
- • Observability
- • Tracing
- • Evaluation
- • Open Source
- • Langchain
Shared Tags
Only in Arize Phoenix
Only in Langfuse
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
About Arize Phoenix
Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.
View full listingAbout 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.
View full listing