Langfuse VS Sensor Tower
Compare Langfuse VS Sensor Tower and see what are their differences
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Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Sensor Tower
appfigures
App Annie
Mobile Action
App Radar
42matters
Flurry
Apptica
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Langfuse Sensor TowerSensor Tower might be a bit more popular than Langfuse. We know about 30 links to it since March 2021 and only 28 links to Langfuse. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 5 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / 24 days ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
The hype around AI shows no signs of slowing down and continues to attract attention from publishers, developers, anyone creating mobile applications for their business, and those with a keen interest. This fact is proved by the latest report, State of AI, which analyzed current trends in 2025, released by Sensor Tower, the leading source of mobile app insights. If you havenโt had time to look through the report,... - Source: dev.to / 10 months ago
I was optimistically hoping some of the MV3 changes would result in Chrome webstore policy enforcement being standardized, but that hasn't happened. Sensor Tower (https://sensortower.com/) makes a lot of popular extensions, like StayFocusd https://www.stayfocusd.com/. They seem to resell ad data (in violation of [1]?) and ship likely obfuscated code [2] (in violation of [3]?), but there's no enforcement or even... - Source: Hacker News / over 1 year ago
Yes, and they will be right. Just look at its revenue (sensortower.com) through the many fiascos. Source: about 4 years ago
(source: https://sensortower.com/). Source: about 4 years ago
Ya I checked out data.ai and sensortower.com. Both give pretty good overview data. But I think you're right, premium may be required for any in depth user information. Source: about 4 years ago
Helicone AI - Open-source LLM Observability for Developers
appfigures - Cross-platform app store analytics for all of your mobile apps.
LangSmith - Build and deploy LLM applications with confidence
App Annie - App Annie is a marketing analytics tool available for apps of all kinds. With App Annie, you can track sales, traffic, and a variety of other factors pertinent to monitoring an app's trajectory.
LangChain - Framework for building applications with LLMs through composability
Mobile Action - Mobile Data Intelligence & Actionable Insights.