Langfuse vs Make
A side-by-side comparison to help you choose the right tool.
89
Langfuse scores higher overall (89/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Langfuse | Make |
|---|---|---|
| Our score | 89 | 85 |
| Pricing | Open-source self-hosted core plus commercial/cloud options depending on deployment path. | Free plan available. Paid plans scale by operations, credits, and advanced features. |
| Free plan | Yes | Yes |
| Best for | Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking | Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps |
| Platforms | web, linux, api | web, api |
| API | Yes | Yes |
| Languages | en | en |
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| Visit site | Get started |
Langfuse
89
- Pricing
- Open-source self-hosted core plus commercial/cloud options depending on deployment path.
- Free plan
- Yes
- Best for
- Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking
- Platforms
- web, linux, api
- API
- Yes
- Languages
- en
Make
85
- Pricing
- Free plan available. Paid plans scale by operations, credits, and advanced features.
- Free plan
- Yes
- Best for
- Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps
- Platforms
- web, api
- API
- Yes
- Languages
- en
89Choose Langfuse if:
- You are Teams shipping LLM apps in production
- You are Developers who need traces and evaluation workflows
- You are Organizations standardizing prompt and experiment tracking
- You want to start free
85Choose Make if:
- You are Ops teams building more complex visual automations
- You are Users who want a more flexible builder than basic trigger-action tools
- You are Companies mixing no-code workflows with light code steps
- You want to start free
FAQ
- What is the difference between Langfuse and Make?
- Langfuse is an open-source observability and prompt-management platform for llm applications, with tracing, datasets, and evaluation support. Make is make is a visual automation platform that gives users more control and transparency than many simple trigger-action tools. it is ideal for users who like seeing logic, branches, and data flow instead of hiding everything behind a wizard.
- Which is cheaper, Langfuse or Make?
- Langfuse: Open-source self-hosted core plus commercial/cloud options depending on deployment path.. Make: Free plan available. Paid plans scale by operations, credits, and advanced features.. Langfuse has a free plan. Make has a free plan.
- Who is Langfuse best for?
- Langfuse is best for Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking.
- Who is Make best for?
- Make is best for Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps.