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.
Based on our record, CodeSandbox seems to be a lot more popular than Langfuse. While we know about 310 links to CodeSandbox, we've tracked only 11 mentions of 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.
And then there’s evaluation and observability—two things you must consider when your AI app is live. You need to know if the model is doing its job, and why it failed when it didn’t. Tools like LangSmith and LangFuse can help with this, but you’ll need to spend time experimenting with what works best for your stack. - Source: dev.to / 1 day ago
Langfuse is another open-source platform for debugging, analyzing, and iterating on language model applications. It offers tracing, evaluation, and prompt management. While Langfuse offers many capabilities, some (like the Prompt Playground and automated evaluation) are only available in the paid tier for self-hosted users. - Source: dev.to / about 2 months ago
It is reportedly used on websites like Langfuse and Million.dev. - Source: dev.to / 3 months ago
LangFuse is a monitoring and debugging platform for LLM-powered applications. It provides insights into token usage and costs. It can also analyze latency, and the performance of AI interactions. The platform allows debug prompts, and analyzes how they behave in production. - Source: dev.to / 4 months ago
You'll notice there's a lot of prompts in these examples. As you develop your prompts, you'll likely want to iterate and refine them over time. I recommend using tools like Langfuse or Langsmith for prompt management and metrics, making it easier to track performance and make improvements. - Source: dev.to / 4 months ago
CodeSandbox Examples: Check out CodeSandbox for live projects using Shadcn UI. It’s a great way to see the toolkit in action. - Source: dev.to / 3 months ago
I am thankful for a platform like CodeSandbox because it allows me to offload majority of the processing power and memory resources to the cloud. With a local VS Code installed, I can tunnel in via a remote connection to work on my projects, tinker, or do a deep-dive on certain topics; all while ensuring that the RPi 4 still has sufficient resources left to run other things in the background. - Source: dev.to / 3 months ago
To create a new React JS environment in CodeSandbox. Similar domains include js.new, vue.new, etc.,. - Source: dev.to / 5 months ago
I have, it's called Visual Studio Code and I ditched my old native editor(s) for it. I'd even suggest that the fact that it's JS based has significantly changed the tech world because the editor itself will run in a browser so it's here https://godbolt.org/ , and here https://codesandbox.io, and here https://www.postman.com/, and here https://aws.amazon.com/pm/cloud9/ and 100s or 1000s of other sites. - Source: Hacker News / 5 months ago
CodeSandbox for web-first collaborative projects. - Source: dev.to / 6 months ago
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