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Aptabase vs Langfuse

Langfuse focuses on LLM app observability, not general mobile/desktop app analytics.

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.