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code.store vs Langfuse

Langfuse provides observability for LLM apps, while code.store delivers broader low-code app development and integration services.

Side by side

What it is
code.store:code.store provides low-code development, migration and integration services to build custom software solutions.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
code.store:Low-code custom software delivery
Langfuse:LLM observability & analytics
Who it’s for
code.store:Enterprises and teams needing rapid app development, data migration, or integration without extensive coding.
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
code.store:Subscription
Langfuse:Freemium
Plans
code.store:—
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
code.store:—
Langfuse:Yes, 35,097 GitHub stars
Works with
code.store:Kotlin, Swift, Node.js, React.js, GraphQL, Keycloak, Xano, WeWeb
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
code.store:2
Langfuse:89
Launched on DevHunt
code.store:Jul 2024
Langfuse:Jan 2023

code.store features

  • Low-code development. Build web, mobile and backend applications using visual tools combined with custom code.
  • Cross-platform mobile apps. Deliver native Android (Kotlin) and iOS (Swift) applications quickly.
  • Data migration. Migrate millions of articles or large datasets between CMS platforms.
  • AI integration. Add conversational AI, text-to-speech and speech-to-text to automate workflows.
  • Custom connectors. Create integrations such as ClickUp ↔ PageProof or Salesforce ↔ LMS.
  • Unified data graph. Combine multiple data sources into a single GraphQL layer for easier access.

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.