Software Alternatives, Accelerators & Startups

Dify.AI VS Langfuse

Compare Dify.AI VS Langfuse and see what are their differences

Dify.AI logo Dify.AI

Open-source platform for LLMOps,Define your AI-native Apps

Langfuse logo Langfuse

Open source tracing and analytics for LLM applications
  • Dify.AI Landing page
    Landing page //
    2023-08-26
  • Langfuse Landing page
    Landing page //
    2023-08-20

Dify.AI videos

Dify.AI Review: The Future of LLMOps Platforms | AffordHunt

More videos:

  • Tutorial - Dify.AI tutorial for beginners:Create an AI app with a dataset within minutes

Langfuse videos

Langfuse in two minutes

Category Popularity

0-100% (relative to Dify.AI and Langfuse)
Productivity
26 26%
74% 74
Utilities
100 100%
0% 0
Help Desk
22 22%
78% 78
AI
30 30%
70% 70

User comments

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Social recommendations and mentions

Langfuse might be a bit more popular than Dify.AI. We know about 3 links to it since March 2021 and only 3 links to Dify.AI. 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.

Dify.AI mentions (3)

  • GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
    Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and... - Source: dev.to / 4 months ago
  • Which LLM framework(s) do you use in production and why?
    If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides. Source: 6 months ago
  • New Discoveries in No-Code AI App Building with ChatGPT
    As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills! Source: 9 months ago

Langfuse mentions (3)

  • Building an Email Assistant Application with Burr
    Using the Burr UI to monitor is not the only way. You can integrate your own by leveraging lifecycle hooks, enabling you to log data in a custom format to, say, datadog, langsmith, or langfuse. - Source: dev.to / 26 days ago
  • Ask HN: Who is hiring? (November 2023)
    Langfuse (YC W23) | https://langfuse.com | Full-Time | Berlin, Germany | on-site | LLM Observability and Analytics Langfuse is open source [1] observability and analytics tool for LLM applications — think Amplitude and Datadog for LLM apps. Our users use Langfuse to understand what happens in production and use our insights to improve their applications. We have built a number of... - Source: Hacker News / 7 months ago
  • LLM Analytics 101 - How to Improve your LLM app
    Langfuse makes tracing and analyzing LLM applications accessible. It is an open-source project under MIT license. - Source: dev.to / 8 months ago

What are some alternatives?

When comparing Dify.AI and Langfuse, you can also consider the following products

Vectara Neural Search - Neural search as a service API with breakthrough relevance

LangSmith - Build and deploy LLM applications with confidence

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

Superpowered AI - Knowledge Base as a Service for LLM Applications

Prompts - Build a better writing habit

Sibyl AI - The Worlds First AI Spiritual Guide and Metaphysical LLM