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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.
code.storeCode.Store: Where Ideas Become Software Reality!
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️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.