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getStack.dev vs Langfuse

Offers observability for LLM apps, unrelated to technology popularity data

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What it is
getStack.dev:GetStack.dev provides real-time insights into the most popular technologies, libraries, and services across thousands of repositories.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
getStack.dev:Tech popularity analytics
Langfuse:LLM observability & analytics
Who it’s for
getStack.dev:Developers, product managers, and tech researchers tracking tech trends
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
getStack.dev:Free
Langfuse:Freemium
Plans
getStack.dev:—
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
getStack.dev:Yes, 426 GitHub stars
Langfuse:Yes, 35,097 GitHub stars
Works with
getStack.dev:JavaScript, TypeScript, Python, React, Vue.js, Next.js, Docker, GitHub Actions
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
getStack.dev:0
Langfuse:89
Launched on DevHunt
getStack.dev:Jan 2026
Langfuse:Jan 2023

getStack.dev features

  • Technology Trend Dashboard. Shows adoption rates for languages, databases, AI models, and more across 50k+ repos.
  • Weekly Data Refresh. Insights are updated every week with the latest repository data.
  • Category Filters. Browse popularity by categories such as UI frameworks, CI tools, cloud providers, etc.
  • Search Capability. Quickly find specific technologies or repositories using the built-in search.
  • Newsletter Subscription. Receive curated updates on open-source trends via email.
  • Open Data Presentation. All counts and percentages are displayed directly on the site for easy reference.

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.