Firebase
Supabase
Android Studio
AppWrite
Back4App
Xcode
Socket.io
Vercel
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
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.
Firebase
LangfuseBased on our record, Firebase seems to be a lot more popular than Langfuse. While we know about 286 links to Firebase, we've tracked only 28 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.
Back in 2019, Google Firebase was becoming very popular. I was especially interested in the real-time capabilities โ they had just launched Firestore and I wanted to give it a try. I thought it would be fun to build a small tool for my team so we could do proper estimations. - Source: dev.to / about 2 months ago
Then you log into Firebase and see it: The dreaded red box. Your APNs certificates have expired. - Source: dev.to / about 2 months ago
Persistence: Firebase for seamless Google Authentication and session management. - Source: dev.to / 3 months ago
Firebase: Create a Realtime database, LINE Bot can remember your previous conversations, and even answer many interesting questions. - Source: dev.to / about 2 years ago
Firebase/GCP account (for telemetry and deployment). - Source: dev.to / 6 months 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 17 hours 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 / 19 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 / 30 days 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
Supabase - An open source Firebase alternative
Helicone AI - Open-source LLM Observability for Developers
Android Studio - Android development environment based on IntelliJ IDEA
LangSmith - Build and deploy LLM applications with confidence
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
LangChain - Framework for building applications with LLMs through composability