Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
BrowserStack
TestMu AI (Formerly LambdaTest)
Sauce Labs
CrossBrowserTesting
Selenium
browserling
Ghost Inspector
Katalon
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.
BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platformโand at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.
Langfuse BrowserStackBased on our record, Langfuse should be more popular than BrowserStack. It has been mentiond 28 times since March 2021. 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 / 3 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 / 21 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 1 month ago
This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / about 1 year ago
Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 2 years ago
If you go to browserstack.com (a website to test other websites) you can probably to the chatgpt url and sign up there. Source: over 3 years ago
For testing on Mac or iOS, use browserstack.com, you'll spend considerably less using that than you would buying the actual hardware. Source: over 3 years ago
I've seen subscription services such as browserstack.com and lambdatest.com but I believe they cost to get the full range of mac browsers and devices. Source: over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
TestMu AI (Formerly LambdaTest) - Worldโs first full-stack Agentic AI Quality Engineering platform.
LangSmith - Build and deploy LLM applications with confidence
Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.
LangChain - Framework for building applications with LLMs through composability
CrossBrowserTesting - Browser Testing made simple! Run automated, visual, and manual tests on 1500+ real browsers and mobile devices. Test more browsers, in less time.
