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Tools/WhyLabs vs Langfuse
WhyLabs

WhyLabs

observability
vs
Langfuse

Langfuse

observability

WhyLabs vs Langfuse — Comparison

Overview
What each tool does and who it's for

WhyLabs

After an incredible journey, we are closing this chapter of our story. WhyLabs, Inc. is discontinuing operations. It's been a privilege to define the AI Observability category together with our trailblazing customers and our extraordinary team. While WhyLabs as a company is ending, the importance of tools that enable responsible AI adoption is ever growing. We believe that the standards and technologies in this space will continue to evolve, and we are proud to have contributed to advancing the field of responsible AI operations through open source: Beyond our software, we hope the thousands of people who participated in the Robust and Responsible AI community will continue to spread best practices throughout the AI industry. We extend our sincere gratitude to everyone who made this journey possible - from our investors who supported our vision from day zero, customers who entrusted us with their AI systems, to our visionary team who made WhyLabs possible, partners who collaborated with us, and to our family and friends who supported us throughout. Together we were able to inch the world closer to a more responsible adoption of AI technology!

Langfuse

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

Based on the available social mentions, Langfuse appears to be a well-recognized player in the LLM observability and tracing space, often mentioned alongside other established tools like Helicone and Arize. Users appreciate that it provides LLM call tracking capabilities, but some developers note limitations - specifically that it doesn't fully understand agent topology, tool calls, and handoffs in multi-agent systems. The tool seems to face competition from both cloud-only paid solutions like LangSmith and newer open-source alternatives that aim to address its perceived gaps. Overall, Langfuse is viewed as a solid option for basic LLM monitoring, though the market appears to be evolving toward more comprehensive agent observability solutions.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
2,804
GitHub Stars
24,100
134
GitHub Forks
2,434
—
npm Downloads/wk
870,710
—
PyPI Downloads/mo
16,482,738
Community Sentiment
How developers feel about each tool based on mentions and reviews

WhyLabs

0% positive100% neutral0% negative

Langfuse

0% positive100% neutral0% negative
Pricing

WhyLabs

tiered

Langfuse

subscription + tiered

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

Developer Ecosystem
40
GitHub Repos
18
184
GitHub Followers
828
2
npm Packages
20
—
HuggingFace Models
22
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

WhyLabs

No data yet

Langfuse

cost tracking (2)token usage (1)
Product Screenshots

WhyLabs

No screenshots

Langfuse

Langfuse screenshot 1
Company Intel
information technology & services
Industry
information technology & services
54
Employees
15
$14.0M
Funding
$4.1M
Merger / Acquisition
Stage
Merger / Acquisition
Supported Languages & Categories

WhyLabs

AI/MLDeveloper Tools

Langfuse

AI/MLSecurityDeveloper Tools
View WhyLabs Profile View Langfuse Profile