Gallery VS Langfuse
Compare Gallery VS Langfuse and see what are their differences
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Gallery
Piwigo.org
Lychee by Electerious
PhotoPrism.app
Bestfolios
jAlbum
LibrePhotos
Chevereto
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Portkey
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.
Gallery LangfuseBased on our record, Langfuse seems to be a lot more popular than Gallery. While we know about 29 links to Langfuse, we've tracked only 1 mention of Gallery. 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.
Gallery but dunno if it's still developed. I think the OS patches will still be current though. http://galleryproject.org/. Source: almost 5 years 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 / 7 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 โ step by step. - Source: dev.to / about 2 months 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 / 2 months 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 / 2 months 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 / 3 months ago
Piwigo.org - Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.
Helicone AI - Open-source LLM Observability for Developers
Lychee by Electerious - Lychee is an open-source, free software program for self-hosted photo management. It can be installed on the user's own server or website. The software permits the uploading and management of photos and also makes sharing photos very easy.
LangSmith - Build and deploy LLM applications with confidence
PhotoPrism.app - PhotoPrismยฎ is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
LangChain - Framework for building applications with LLMs through composability