Head-to-head · Llm Developer Tools
Haystack vs Langfuse
Haystack leads on 0 checks, Langfuse on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreHaystack · 9.1/10
- Free planonly Langfuse
Haystack scores higher on our rubric for llm developer tools: 9.1 against 8.7 out of 10; our editors rank them #3 and #7.
Haystack is the better fit for production RAG and retrieval pipeline teams. Langfuse is the better fit for teams needing affordable full-stack LLM tracing.
- Haystack fits best
Production RAG and retrieval pipeline teams
- Langfuse fits best
Teams needing affordable full-stack LLM tracing
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Side by side
| Feature | Haystack 9.1/10 Visit ↗ | Langfuse 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.7 |
| Ranking | #3 in Llm Developer Tools | #7 in Llm Developer Tools |
| Best for | Production RAG and retrieval pipeline teams | Teams needing affordable full-stack LLM tracing |
| Pricing model | Free | Free plan + paid |
| Starting price | Open source | $29/mo |
| Free plan | Not checked yet | ✓ (best) |
| Free trial | — | — |
| Deployment | Self-hosted | Cloud, Self-hosted |
| Support | Community, Docs | Email, Live chat, Community, Docs |
| Integrations | 183+ integrations | 100+ integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Haystack 1/3 · Langfuse 1/3 | ||
| LLM evaluation | Not checked yet | Not checked yet |
| LLM observability | Not checked yet | Not checked yet |
| Open source | ✓ | ✓ |
| Specs | ||
| Deployment | Not checked yet | Both |
| LLM providers | Not checked yet | Not checked yet |
| SDK languages | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Haystack is an open-source Python framework from deepset for building LLM applications, RAG systems, AI agents, multimodal applications, and semantic search pipelines. Its reusable components and composable workflows suit developers who… Read the review → |
Langfuse is an open-source platform for teams building and operating LLM applications. It is aimed at developers who need visibility across model calls, agents, tools, and retrieval workflows, alongside ways to manage prompts and evaluate… Read the review → |
Strengths and trade-offs
Haystack — where it wins
- Combines keyword and embedding search with configurable reranking.
- Builds RAG answers with referenced documents and metadata.
- Supports 183 integrations across models, databases, and monitoring tools.
Where it doesn't
- Requires development work to compose and run pipelines.
- The framework is self-hosted rather than a metered hosted service.
- Support channels for the framework are community and documentation.
Langfuse — where it wins
- Traces model calls, agent tools, and retrieval steps hierarchically
- Combines prompt management, evaluations, datasets, and cost tracking
- Offers cloud and self-hosted deployment with a free plan
Where it doesn't
- Hobby limits usage to 50k units monthly and 30 days of data access
- Core includes 90 days of data access; longer retention starts with Pro
- Enterprise controls such as SSO and audit logs are paid add-ons or plans
- Haystack9.1/10 · Open source
A composable Python framework for teams building customizable retrieval and LLM pipelines.
Visit HaystackFull verdict → - Langfuse8.7/10 · Free plan
Full-stack LLM tracing and evaluation, with cloud and self-hosted deployment.
Visit LangfuseFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







