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Aptabase vs Langfuse
Langfuse focuses on LLM app observability, not general mobile/desktop app analytics.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- Aptabase:Aptabase provides open-source, privacy-first analytics for mobile and desktop apps.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- Aptabase:Privacy-first app analytics
- Langfuse:LLM observability & analytics
- Who it’s for
- Aptabase:Mobile and desktop app developers who need analytics without tracking users.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- Aptabase:Freemium
- Langfuse:Freemium
- Plans
- Aptabase:Free $0 · Pay as you grow $10 per month · Pay as you grow $20 per month · Pay as you grow $40 per month · Pay as you grow $75 per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- Aptabase:Yes, 1,825 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Aptabase:Swift, React Native, Electron, Flutter, Tauri
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- DevHunt upvotes
- Aptabase:6
- Langfuse:89
- Launched on DevHunt
- Aptabase:Jan 2023
- Langfuse:Jan 2023
Aptabase features
- Lightweight SDKs. More than 10 SDKs (Swift, React Native, Electron, Flutter, Tauri, etc.) that are tiny and fast.
- Real-time dashboard. Live view of events and session timelines updated instantly.
- Anonymous data collection. All data is fully anonymised, no device IDs, cookies or fingerprinting.
- Data ownership & export. You own all data and can export it to CSV at any time.
- EU/US residency & self-host. Choose EU or US data centers or host the service yourself.
- Debug/Release mode detection. SDK auto-detects debug builds to separate experiment data from production.
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.
Based on each tool's website and DevHunt data. Details may change; check the official sites.