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Langfuse vs Prisme Analytics

Provides observability for LLM apps, not general web traffic analytics.

Short answer: Pick Langfuse if you want LLM observability & analytics; pick Prisme Analytics if you want privacy-first web analytics. Langfuse has a free plan, paid from $29/month; Prisme Analytics is paid, with a free trial.

Which to pick

Pick Langfuse if you want…

  • LLM observability & analytics
  • A free plan to start with (Hobby)
  • Integrations with Python, TypeScript or Go (on Langfuse's list, not Prisme Analytics')

Pick Prisme Analytics if you want…

  • Privacy-first web analytics
  • Integrations with numpy, pandas or Grafana (on Prisme Analytics' list, not Langfuse's)

Side by side

What it is
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Prisme Analytics:Open source, privacy-focused web analytics with unlimited sites, real-time data and GDPR compliance.
Best for
Langfuse:LLM observability & analytics
Prisme Analytics:Privacy-first web analytics
Who it’s for
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Prisme Analytics:Web developers and product teams needing compliant analytics without vendor lock-in.
Pricing
Langfuse:Freemium
Prisme Analytics:Paid
Starting price
Langfuse:$29/month (Core)
Prisme Analytics:—
Free plan or trial
Langfuse:Free plan (Hobby)
Prisme Analytics:Free trial
Plans
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Prisme Analytics:—
Open source
Langfuse:Yes, 35,097 GitHub stars
Prisme Analytics:Yes, 135 GitHub stars
Works with
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
Prisme Analytics:numpy, pandas, Grafana

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.

Prisme Analytics features

  • Instant real-time analytics. Data is processed instantly and visible in the dashboard without delay.
  • GDPR, CCPA, PECR compliance. Built to meet European privacy regulations, no cookie banner required.
  • Custom events & dashboards. Create arbitrary events and flexible dashboards to track business-specific metrics.
  • Unlimited sites & pageviews. Track any number of websites with no caps on pageviews or events.
  • SQL-enabled API. Access raw data via an API that supports SQL queries for deep analysis.
  • Lightweight script & no-JS tracking. 35-byte image pixel fallback and fast loading script that doesn’t hurt SEO.

Langfuse vs Prisme Analytics FAQ

What is the difference between Langfuse and Prisme Analytics?+

Langfuse: Provides observability for LLM apps, not general web traffic analytics.

Should I use Langfuse or Prisme Analytics?+

Pick Langfuse if you want LLM observability & analytics, a free plan to start with (Hobby) or integrations with Python, TypeScript or Go (on Langfuse's list, not Prisme Analytics'). Pick Prisme Analytics if you want privacy-first web analytics or integrations with numpy, pandas or Grafana (on Prisme Analytics' list, not Langfuse's).

Is Langfuse or Prisme Analytics free?+

Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). Prisme Analytics is paid, with a free trial.

Is Langfuse or Prisme Analytics open source?+

Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and Prisme Analytics (prismelabs/analytics on GitHub, AGPL-3.0 license).

Do Langfuse and Prisme Analytics integrate with the same tools?+

Their integration lists don't overlap: Langfuse lists Python, TypeScript, Go, Java and 10 more; Prisme Analytics lists numpy, pandas and Grafana.

On DevHunt

Langfuse

89 upvotes · Launched on DevHunt on Jan 10, 2023

Prisme Analytics

1 upvote · Launched on DevHunt on Jan 7, 2025

Based on each tool's website and DevHunt data. Details may change; check the official sites.