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Langfuse vs YABANIN
Short answer: Pick Langfuse if you want LLM observability & analytics; pick YABANIN if you want Self-hosted AI access with cost visibility. Langfuse has a free plan, paid from $29/month.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not YABANIN's)
Pick YABANIN if you want…
- Self-hosted AI access with cost visibility
- Integrations with Scala (on YABANIN's list, not Langfuse's)
Side by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- YABANIN:Self-hosted AI gateway that lets enterprises control model access, routing, budgets and usage analytics.
- Best for
- Langfuse:LLM observability & analytics
- YABANIN:Self-hosted AI access with cost visibility
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- YABANIN:Engineering and ops teams in mid-size companies that need on-prem AI control.
- Pricing
- Langfuse:Freemium
- YABANIN:Contact sales
- Starting price
- Langfuse:$29/month (Core)
- YABANIN:—
- Free plan or trial
- Langfuse:Free plan (Hobby)
- YABANIN:—
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- YABANIN:—
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- YABANIN:Yes, 4 GitHub stars
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- YABANIN:Scala
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
YABANIN features
- Self-hosted gateway. Runs in your environment to expose approved model routes and enforce policies.
- Access control. Scoped credentials and approved routes limit who can call which model.
- Routing. Unified gateway routes requests to multiple model providers.
- Budgets. Set spend limits per team, task or agent and enforce them automatically.
- Usage analytics. Record who used AI, for what, and at what cost for each call.
- Agent workflows (RAIDER). Compose repeatable engineering workflows in Scala that run locally or in CI.
Langfuse vs YABANIN FAQ
What is the difference between Langfuse and YABANIN?+
Langfuse: Focuses on observability for LLM apps, not on routing, budgets or self-hosting.
Should I use Langfuse or YABANIN?+
Pick Langfuse if you want LLM observability & analytics or integrations with Python, TypeScript or Go (on Langfuse's list, not YABANIN's). Pick YABANIN if you want Self-hosted AI access with cost visibility or integrations with Scala (on YABANIN's list, not Langfuse's).
Is Langfuse or YABANIN free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Is Langfuse or YABANIN open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and YABANIN (yabaninai/yabanin-core on GitHub, Apache-2.0 license).
Do Langfuse and YABANIN integrate with the same tools?+
Their integration lists don't overlap: Langfuse lists Python, TypeScript, Go, Java and 10 more; YABANIN lists Scala.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.