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groundcover vs Langfuse
Langfuse targets LLM app analytics, whereas Groundcover provides full-stack cloud observability for any workload.
groundcoverObservability, for the Cloud..png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick groundcover if you want…
- Full-stack observability with BYOC architecture
- Cloud infrastructure monitoring
- Integrations with OpenTelemetry, Kubernetes or AWS (on groundcover's list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- Open-source code (langfuse/langfuse on GitHub)
- Integrations with Python, TypeScript or Go (on Langfuse's list, not groundcover's)
Groundcover provides cloud-native observability but lacks built-in LLM prompt management and evaluation features.
Side by side
- What it is
- groundcover:Groundcover provides full-stack cloud observability with logs, metrics, traces and Kubernetes events in a single platform.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- groundcover:Full-stack observability with BYOC architecture
- Langfuse:LLM observability & analytics
- Who it’s for
- groundcover:Site reliability engineers, DevOps teams and cloud engineers needing unified observability.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- groundcover:Freemium
- Langfuse:Freemium
- Plans
- groundcover:Free $0 · Pro $30 per host, per month · Enterprise $35 per host, per month · On Premise $50 per host, per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- groundcover:—
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- groundcover:OpenTelemetry, Kubernetes, AWS, Google Cloud Platform, Microsoft Azure, Slack, Linear, RUM
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
groundcover features
- BYOC Architecture. Deploys inside your VPC so all telemetry stays private and secure.
- eBPF Sensor. Zero-instrumentation data collection across infrastructure, apps and AI workloads.
- Agent Mode. AI-driven assistant that runs queries, builds dashboards and automates actions.
- Plain-language Explorer. Search and investigate data using natural language without query syntax.
- AI Observability. Dedicated view for LLM calls and agent pipelines with cost and performance metrics.
- Integrated Alerts & Workflows. Monitors, Slack and Linear connectors route alerts and create tickets automatically.
- Cost-predictable Pricing. Per-host pricing based on average Kubernetes nodes, no ingestion fees.
- Multi-cloud Support. Runs on AWS, GCP and Azure marketplaces with optional on-prem deployment.
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.
groundcover vs Langfuse FAQ
Is groundcover or Langfuse free?+
groundcover has a free plan and paid plans. Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Is groundcover or Langfuse open source?+
Langfuse is open source (langfuse/langfuse on GitHub). DevHunt has no public source repository on record for groundcover.
Do groundcover and Langfuse integrate with the same tools?+
Their integration lists don't overlap: groundcover lists OpenTelemetry, Kubernetes, AWS, Google Cloud Platform and 4 more; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
groundcover
39 upvotes · Launched on DevHunt on Feb 6, 2024
Based on each tool's website and DevHunt data. Details may change; check the official sites.