Arize Phoenix vs LangSmith
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. LangSmith suits teams needing freemium $39/mo, anthropic focus, and 1,027 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 | LangSmith |
|---|---|---|
| GitHub Stars | 11.1K | 1.0K |
| Contributors | 207 | 103 |
| Last Commit | Aug 22, 2026 | Aug 21, 2026 |
| Open Issues | 929 | 213 |
| License | open-source | commercial |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Arize Phoenix if you need
- • Arize Phoenix is the better fit when you need open-source licensing instead of commercial terms.
- • Arize Phoenix stands out for Tracing workflows that are not listed for LangSmith.
- • Arize Phoenix is the stronger pick when Llamaindex matters because that capability is listed only on its profile.
Choose LangSmith if you need
- • LangSmith is the stronger pick when Anthropic matters because that capability is listed only on its profile.
- • LangSmith is the cleaner fit if you specifically need Langchain workflows from the catalog tags.
Meaningful differences
- • Pricing model: Arize Phoenix is listed as freemium from Free (self-hosted), cloud plans available, while LangSmith is listed as freemium from $39/mo.
- • License: Arize Phoenix uses open-source, while LangSmith uses commercial.
- • Workflow emphasis: Arize Phoenix highlights Tracing, while LangSmith highlights Observability.
- • GitHub adoption: Arize Phoenix shows 11,142 stars versus 1,027 for LangSmith.
- • Contributor count: Arize Phoenix lists 207 contributors and LangSmith lists 103.
Shared capabilities
- • Observability
- • Tracing
- • Evaluation
- • Langchain
- • Openai
Shared Tags
Only in Arize Phoenix
Only in LangSmith
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 LangSmith
LangSmith is LangChain's production-grade observability and evaluation platform for LLM applications. It provides full trace visibility into every LLM call, tool invocation, and chain execution — including latency, token usage, and cost. Teams use LangSmith to debug regressions, run automated evaluations against labeled datasets, and monitor live production traffic with alerting.
View full listing