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Langfuse vs Scoopika
Observability for LLM apps, not a toolkit for building agents.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️
ScoopikaBring AI agents to your application in minutesSide by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Scoopika:Open-source toolkit to build multimodal AI agents with streaming, validation, memory and knowledge stores.
- Best for
- Langfuse:LLM observability & analytics
- Scoopika:Multimodal AI agents with real-time streaming
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Scoopika:Developers building LLM-powered web apps, bots, and data extraction tools.
- Pricing
- Langfuse:Freemium
- Scoopika:Freemium
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Scoopika:HOBBY Free
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- Scoopika:—
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- Scoopika:—
- DevHunt upvotes
- Langfuse:89
- Scoopika:4
- Launched on DevHunt
- Langfuse:Jan 2023
- Scoopika:Oct 2024
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.
Scoopika features
- Real-time streaming. Stream text and voice responses as they are generated, with hooks for token and tool callbacks.
- LLM output validation. Built-in JSON schema validation with retries and error recovery.
- Serverless long-term memory. Managed encrypted memory store for conversation history without developer overhead.
- Knowledge stores. Upload files, PDFs or websites to edge-close stores that agents can query.
- Multimodal inputs. Accept text, images, audio and URLs, and generate validated outputs from any source.
- Custom functions & APIs. Connect any API or custom code as tools agents can call during execution.
- Voice interaction. Process multiple audio inputs in parallel and stream voice replies in under 300 ms.
- Open-source SDKs. Type-safe TypeScript SDKs for server, client and React integration.
Based on each tool's website and DevHunt data. Details may change; check the official sites.