
Troops
Zapier
Any.DO
Simple Poll
QlikSense
Obie.ai
Clari
Zoom.ai
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
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.
Troops
LangfuseTroops.ai is recommended for sales teams, customer service teams, and any organization using Salesforce that wants to improve communication efficiency and data accessibility through Slack or Microsoft Teams. It's particularly useful for teams wanting to automate routine tasks and focus more on strategic activities.
Based on our record, Langfuse seems to be a lot more popular than Troops. While we know about 32 links to Langfuse, we've tracked only 1 mention of Troops. 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.
Take a look at http://troops.ai/ - they are building more product. Source: almost 5 years ago
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 1 day ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blobโmodel, tokens, temperatureโwhich the code passes straight to the LLM. - Source: dev.to / 5 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 10 days 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 / 22 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 / 2 months ago
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Helicone AI - Open-source LLM Observability for Developers
Any.DO - The #1 task management app used by over 11 million people globally, Any.do is your free mobile and online task manager for Android, iPhone, Web and more.
LangSmith - Build and deploy LLM applications with confidence
Simple Poll - The easiest way to create polls in Slack
LangChain - Framework for building applications with LLMs through composability