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Clickvote vs Langfuse
Focuses on LLM observability, unrelated to UI reaction widgets.
ClickvoteSeamlessly Integrate Like, Upvote, and Review Components into Your App
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- Clickvote:Clickvote provides embeddable like, upvote, and review components with real-time analytics and unlimited scaling.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- Clickvote:Embeddable reaction components with analytics
- Langfuse:LLM observability & analytics
- Who it’s for
- Clickvote:Web developers who need reaction widgets and analytics for their apps.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- Clickvote:Freemium
- Langfuse:Freemium
- Plans
- Clickvote:Free $0 / mo · Pro $50 / mo · Legend $100 / mo
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- Clickvote:Yes, 36,433 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Clickvote:React, Vue, Angular, Svelte, Kafka
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- DevHunt upvotes
- Clickvote:9
- Langfuse:89
- Launched on DevHunt
- Clickvote:Jan 2023
- Langfuse:Jan 2023
Clickvote features
- Real-time reaction UI. Embed Like, Upvote, and Review components that update instantly across clients.
- Unlimited scaling. Handles unlimited clicks per second and scales with traffic.
- Deep analytics. Time-series view of reactions to understand member preferences.
- Integration options. Send reaction data via API calls or Kafka topics to your backend.
- Open-source core. MIT-licensed codebase you can self-host with Docker-Compose.
- Managed cloud service. Fully hosted version with SLA, live support and extra analytics.
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.