
DataTap
Funnel.io
Workato
Segment
SAP BusinessObjects Predictive Analytics
Xplenty
Google Chart Tools
Chartio
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Humanloop
Braintrust.dev
Openlayer
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.
DataTap
LangfuseDataTap is recommended for marketing professionals, data analysts, and business intelligence teams who need to integrate, manage, and analyze data from diverse sources. It is particularly beneficial for organizations that require a deep understanding of their marketing performance, customer behavior, and other critical business metrics. Additionally, businesses looking to automate repetitive data handling tasks and enhance the accuracy of their data insights would benefit from this platform.
No DataTap videos yet. You could help us improve this page by suggesting one.
Based on our record, Langfuse seems to be a lot more popular than DataTap. While we know about 29 links to Langfuse, we've tracked only 1 mention of DataTap. 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.
We have worked hard on the Lost Pixel Platform - the SaaS version of our tool. We are a small team of two working on it currently, but we already have awesome clients like prisma.io and adverity.com. I would be excited if you try it out and give us the feedback if you will have any! Source: over 3 years ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 3 days ago
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 / about 1 month 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 / 2 months 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 / 2 months 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 / 2 months ago
Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...
Helicone AI - Open-source LLM Observability for Developers
Workato - Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a โCool Vendor in Social Software and Collaborationโ.
LangSmith - Build and deploy LLM applications with confidence
Segment - We make customer data simple.
LangChain - Framework for building applications with LLMs through composability