
Assertible
HttpMaster
API Fortress
Hoppscotch
Request inspector
CurlHub.io
Advanced REST Client (ARC)
MockServer
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.
Assertible
LangfuseBased on our record, Langfuse seems to be a lot more popular than Assertible. While we know about 32 links to Langfuse, we've tracked only 1 mention of Assertible. 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.
Assertible.com — Automated API testing and monitoring. Free plans for teams and individuals. - Source: dev.to / about 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 / 9 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 12 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 / 17 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 / 30 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 — step by step. - Source: dev.to / 2 months ago
HttpMaster - HttpMaster is a professional software tool for testing and debugging HTTP applications, primarily aimed at REST API applications and web services.
Helicone AI - Open-source LLM Observability for Developers
API Fortress - API performance, accuracy, and uptime testing. Without code.
LangSmith - Build and deploy LLM applications with confidence
Hoppscotch - Open source API development ecosystem
LangChain - Framework for building applications with LLMs through composability