StackSwitcher
AI & Workflow Automation

Open-Source Alternatives to LangSmith / Helicone Cloud

Based on our dataset, the self-hostable open-source alternatives to LangSmith / Helicone Cloud are Langfuse. The LangSmith / Helicone Cloud plan we benchmark is Plus ($39/seat/mo + $0.50 per 1k LLM traces).

Data last updated . How we check.

Quick comparison

AlternativeLicenseRAM in starter configNeeds Postgres / RedisMigration
LangfuseMIT (Core)1024 MBYes / NoInstant (1-line OpenAI/LangChain wrapper)

Langfuse

Open-source LLM engineering platform: traces, evals, prompt management, and token cost analytics

  • Track exact USD cost per user, model & prompt version
  • Version-control prompts outside your codebase
  • 100% sovereign prompt/completion logs

Docker image langfuse/langfuse:2. GitHub: langfuse/langfuse (8.2k stars when our data was last updated). Website: https://langfuse.com

LangSmith / Helicone Cloud vs Langfuse: full cost comparison and config →

Switching from LangSmith / Helicone Cloud

  1. Pick an alternative above and open its comparison page for the cost breakdown.
  2. Generate a free starter docker-compose.yml in the stack builder.
  3. Test it on a small server with a copy of your data before moving the team over.
  4. Check the migration notes in the table, and the official docs of the tool you pick.

More detail: Replace LangSmith / Helicone Cloud guide.

FAQ

What are the open-source alternatives to LangSmith / Helicone Cloud?

In the StackSwitcher dataset, the self-hostable open-source alternatives to LangSmith / Helicone Cloud are Langfuse.

Which LangSmith / Helicone Cloud plan does StackSwitcher compare against?

We benchmark LangSmith / Helicone Cloud Plus ($39/seat/mo + $0.50 per 1k LLM traces). The main pain point we note: Tracing every production LLM call and RAG prompt adds per-seat and per-trace overhead on top of token costs.

How much RAM does Langfuse need when self-hosted?

Our starter Docker config budgets 1024 MB of RAM for Langfuse plus Postgres. Real needs depend on your usage.

Config templates are MIT licensed and provided "AS IS", with no warranty of any kind and no liability. Prices and specs are informational estimates from our dataset, so check the vendor and project sites before you decide. See the Terms & No Warranty disclaimer.