Comparison
Focxle vs Langfuse
Langfuse is open-source LLM observability with tracing and evaluation. Focxle is a zero-dependency Python package that reports per-agent cost across every vendor, with no account.
What Langfuse is
Langfuse is an open-source LLM engineering platform: tracing, prompt management, evaluation and cost analytics, self-hostable or on their cloud. It is a genuinely good project and a fair comparison.
The difference that matters
Langfuse is a platform you adopt. Focxle is a package you import. Different sizes of commitment for different sizes of question.
Where Langfuse is the better choice
Said first and in full, because a comparison that never concedes anything is marketing, and you would be right to stop reading.
- Tracing, prompt management and evaluation in one place, which is a much larger product than ours.
- Self-hostable, so you can keep everything including full traces inside your own infrastructure.
- A UI for teams, with dashboards, sessions and user-level analysis.
- An established open-source project with a large community behind it.
Where we are
- Two lines and no infrastructure. Nothing to deploy, no database, no account.
- Zero dependencies, which matters because this runs inside your agent's process.
- HTTP API spend counted alongside model spend in one per-agent figure.
- No network calls at all on the free path, proved by a test that deletes socket.socket and runs the suite anyway.
Honestly
If you want a full observability platform and are willing to run one, Langfuse is a strong choice and is open source too. If you want to answer one question in a minute without deploying anything, start with us.
pip install focxle
import focxle
focxle.init()Free forever to watch, no account, and it takes about a minute to find out whether the number surprises you.
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