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Langfuse VS H2O LLM Studio

Compare Langfuse VS H2O LLM Studio and see what are their differences

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Langfuse logo Langfuse

Open source tracing and analytics for LLM applications

H2O LLM Studio logo H2O LLM Studio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs - GitHub - h2oai/h2o-llmstudio: H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
  • Langfuse Landing page
    Landing page //
    2023-08-20
  • H2O LLM Studio Landing page
    Landing page //
    2023-07-28

Langfuse videos

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Langfuse in two minutes

H2O LLM Studio videos

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Category Popularity

0-100% (relative to Langfuse and H2O LLM Studio)

Langfuse

H2O LLM Studio

Productivity
91 91%
Productivity
9% 9
Developer Tools
0 0%
Developer Tools
100% 100
Help Desk
100 100%
Help Desk
0% 0
Utilities
0 0%
Utilities
100% 100

User comments

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Social recommendations and mentions

Based on our record, Langfuse should be more popular than H2O LLM Studio. It has been mentiond 3 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.

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 / about 1 month 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 / 9 months ago

H2O LLM Studio mentions (1)

  • building LLM model to answer question
    Vector databases are probably a good place to start, though you've already tried LlamaIndex. You might want to try https://github.com/h2oai/h2o-llmstudio and https://github.com/h2oai/h2ogpt. Source: about 1 year ago

What are some alternatives?

When comparing Langfuse and H2O LLM Studio, you can also consider the following products

LangSmith - Build and deploy LLM applications with confidence

PromptLayer - The first platform built for prompt engineers

Superpowered AI - Knowledge Base as a Service for LLM Applications

cheat.sh - The only cheat sheet you need Unified access to the best community driven documentation

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

Humanloop - Train state-of-the-art language AI in the browser

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