PayloopPayloop
CommunityVoicesToolsDiscoverLeaderboardReportsBlog
Save Up to 65% on AI
Powered by Payloop — LLM Cost Intelligence
Tools/Langfuse/vs Evidently AI
Langfuse

Langfuse

observability
vs
Evidently AI

Evidently AI

observability

Langfuse vs Evidently AI — Comparison

15 integrations1 features870,710 npm/wkMerger / Acquisition
Pain: 2/10015 integrations8 featuresSeed
The Bottom Line

Langfuse and Evidently AI are both observability tools focusing on LLM applications, but they cater to slightly different needs. Langfuse offers deep tracing and debugging for production environments with a significant community presence (24,100 GitHub stars, 870,710 npm downloads/week), while Evidently AI is appreciated for its cost-free model and privacy-friendly offline capabilities (7,420 GitHub stars).

Best for

Langfuse is the better choice when detailed LLM tracing, debugging, and integration with cloud services like AWS and OpenAI are required, especially for larger teams looking for robust community support.

Best for

Evidently AI is the better choice when free, local-driven monitoring and privacy are prioritized, ideal for smaller teams focusing on internal compliance and model testing without significant up-front investment.

Key Differences

  • 1.Langfuse has a higher community engagement with 24,100 GitHub stars compared to Evidently AI's 7,420.
  • 2.Evidently AI offers a free usage model which is generally well-received for budget-conscious teams, contrasted with Langfuse's subscription-based tiers starting at $29/month.
  • 3.Langfuse supports integrations with platforms like OpenAI, AWS, and Microsoft Azure, expanding its tool compatibility in production environments.
  • 4.Evidently AI's differentiator is its ability to run offline, providing enhanced privacy and data control versus Langfuse's cloud-first approach.
  • 5.Langfuse is suitable for debugging multi-agent systems and optimizing LLM workflows, whereas Evidently AI focuses on data drift detection and maintaining model reliability.

Verdict

Langfuse suits larger teams prioritizing detailed performance insights and comprehensive tool integrations in cloud environments. Evidently AI is ideal for smaller organizations needing a cost-efficient, offline monitoring solution that maintains privacy. The choice primarily depends on the team's budget and privacy requirements.

Overview
What each tool does and who it's for

Langfuse

Traces, evals, prompt management and metrics to debug and improve your LLM application.

Langfuse is recognized for its capability to effectively track LLM calls, providing visibility into AI operations which is crucial for production environments. However, some users have raised concerns about its lack of understanding of agent topology and potential interoperability limitations with other tracing formats. There isn't much specific sentiment mentioned about pricing, but there seems to be an implication that it's a paid solution compared to some open-source alternatives. Overall, Langfuse is appreciated as a valuable tool for observability in AI, though it faces some competition from both paid and open-source tools offering varied features.

Evidently AI

Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Built on open-so

"Evidently AI" is highlighted in social mentions as a locally run, free AI tool designed to streamline repetitive tasks such as re-explaining project details, which users find useful. Its main strength is its ability to operate completely offline, enhancing privacy and control for users. Key complaints or detailed criticisms are not prominent in the mentions provided, suggesting either limited exposure or generally positive reception. Overall, the sentiment appears favorable, especially among users looking for a free and local AI assistant solution. Pricing sentiment is positive due to its free usage model.

Key Metrics
—
Mentions (30d)
35
24,100
GitHub Stars
7,420
2,434
GitHub Forks
829
870,710
npm Downloads/wk
—
19,249,322
PyPI Downloads/mo
—
Mention Velocity
How discussion volume is trending week-over-week

Langfuse

-50% vs last week

Evidently AI

-88% vs last week
Where People Discuss
Mention distribution across platforms

Langfuse

Reddit
47%
YouTube
33%
Hacker News
13%
Dev.to
7%

Evidently AI

Reddit
95%
YouTube
5%
Community Sentiment
How developers feel about each tool based on mentions and reviews

Langfuse

27% positive73% neutral0% negative

Evidently AI

11% positive85% neutral4% negative
Pricing

Langfuse

subscription + tiered

Pricing found: $29 / month, $8/100k, $199 / month, $8/100k, $300/mo

Evidently AI

subscription + tiered

Pricing found: $80 /month, $10, $1

Use Cases
When to use each tool

Langfuse (8)

Monitoring LLM performance in productionTracking API usage and costsAnalyzing user interactions with LLMsIdentifying bottlenecks in LLM workflowsDebugging multi-agent systemsOptimizing LLM response timesConducting A/B testing on LLM outputsCollecting feedback for LLM improvements

Evidently AI (6)

Monitoring the performance of machine learning models in productionDetecting data drift to ensure model reliabilityAutomating regression tests for model updatesVisualizing model performance metrics over timeIntegrating observability into DevOps workflowsEnsuring compliance with AI safety regulations
Features

Only in Langfuse (1)

Gain deep visibility into your traces

Only in Evidently AI (8)

Real-time model performance monitoringData drift detection and alertsAutomated testing of model updatesCustomizable dashboards for visual insightsIntegration with CI/CD pipelinesSupport for multiple model typesVersion control for model performanceUser-friendly interface for non-technical users
Integrations

Only in Langfuse (15)

OpenAIAWS LambdaClickhouseSlackZapierGitHubGoogle Cloud PlatformMicrosoft AzureJiraTrelloNotionDatadogSentryPrometheusGrafana

Only in Evidently AI (15)

AWS S3Google Cloud StorageAzure Blob StorageKubernetesJupyter NotebooksSlack for notificationsGitHub for version controlTableau for data visualizationPrometheus for monitoringGrafana for dashboardingApache Kafka for data streamingTensorFlow for model trainingPyTorch for model trainingMLflow for model managementAirflow for workflow orchestration
Developer Ecosystem
18
GitHub Repos
10
828
GitHub Followers
319
20
npm Packages
—
22
HuggingFace Models
2
Pain Points
Top complaints from reviews and social mentions

Langfuse

cost tracking (2)surprise bill (1)cost monitoring (1)usage monitoring (1)token usage (1)

Evidently AI

cost tracking (1)API bill (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

Langfuse

cost tracking (2)surprise bill (1)cost monitoring (1)usage monitoring (1)token usage (1)

Evidently AI

cost tracking (1)API bill (1)
Latest Videos
Recent uploads from official YouTube channels

Langfuse

Langfuse Context: All things MCP with Adam Jones (Tech Lead at Anthropic)

Langfuse Context: All things MCP with Adam Jones (Tech Lead at Anthropic)

Jan 6, 2026

Continuous Evaluation, Monitoring, and Operations of AI Agents with AWS Bedrock AgentCore & Langfuse

Continuous Evaluation, Monitoring, and Operations of AI Agents with AWS Bedrock AgentCore & Langfuse

Nov 25, 2025

Collect User Feedback of your LLM Agent in Langfuse

Collect User Feedback of your LLM Agent in Langfuse

Nov 14, 2025

Langfuse Launch Week Day 6: Dataset Schema Enforcement & Folders

Langfuse Launch Week Day 6: Dataset Schema Enforcement & Folders

Nov 8, 2025

Evidently AI

Open-source LLM tracing, evals and prompt optimization with Evidently

Open-source LLM tracing, evals and prompt optimization with Evidently

Nov 27, 2025

8. Tutorial: Adversarial testing for LLM applications

8. Tutorial: Adversarial testing for LLM applications

May 25, 2025

7. Tutorial: Building and evaluating an AI agent

7. Tutorial: Building and evaluating an AI agent

May 22, 2025

6.2. Tutorial: Building and evaluating a RAG system

6.2. Tutorial: Building and evaluating a RAG system

May 21, 2025

Product Screenshots

Langfuse

Langfuse screenshot 1Langfuse screenshot 2

Evidently AI

Evidently AI screenshot 1Evidently AI screenshot 2Evidently AI screenshot 3Evidently AI screenshot 4
What People Talk About
Most discussed topics from community mentions

Langfuse

pricing3
api3
model selection3
agents3
cost optimization3
scalability2
open source2
streaming2

Evidently AI

model selection19
open source15
api15
support14
streaming13
accuracy12
deployment11
agents11
Top Community Mentions
Highest-engagement mentions from the community

Langfuse

OpenTelemetry just standardized LLM tracing. Here's what it actually looks like in code.

Every LLM tool invents its own tracing format. Langfuse has one. Helicone has one. Arize has one. If...

Dev.toby vola-treblaneutral source

Evidently AI

Evidently AI AI

Evidently AI AI

YouTubeneutral source
Company Intel
information technology & services
Industry
information technology & services
19
Employees
5
$4.1M
Funding
$0.1M
Merger / Acquisition
Stage
Seed
Supported Languages & Categories

Shared (4)

AI/MLDevOpsAnalyticsDeveloper Tools

Only in Langfuse (1)

Security
Frequently Asked Questions
Is Langfuse or Evidently AI better for monitoring AI application performance in production?▼

Langfuse is better suited for monitoring AI application performance in production due to its detailed tracing and metrics capabilities.

How does Langfuse pricing compare to Evidently AI?▼

Langfuse operates on a subscription model starting at $29/month, while Evidently AI offers a free usage model, making it more cost-effective for small-scale deployments.

Which has better community support, Langfuse or Evidently AI?▼

Langfuse has a stronger community presence with 24,100 GitHub stars and 870,710 npm downloads/week, indicating more active community support compared to Evidently AI.

Can Langfuse and Evidently AI be used together?▼

While Langfuse and Evidently AI have different strengths, they can potentially be used together by integrating their unique features, such as tracing and privacy control, to enhance monitoring capabilities.

Which is easier to get started with, Langfuse or Evidently AI?▼

Evidently AI is likely easier to get started with for teams seeking a straightforward deployment due to its user-friendly interface and free model.

View Langfuse Profile View Evidently AI Profile