
React Native UI Kitten
NativeBase
React Native Paper by Callstack
React Native Elements
React Native Starter
React Native Paper
React Native Firebase
WithFrame
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
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.
React Native UI Kitten
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Based on our record, Langfuse should be more popular than React Native UI Kitten. It has been mentiond 28 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.
Https://akveo.github.io/react-native-ui-kitten/ is a good alternative, I especially like their demo app, I can just refer a client to that and ask them what screens they like. Source: over 3 years ago
React Native UI Kitten is a React Native implementation of the Eva Design system. It offers a set of general-purpose UI components styled in the same way to take care of visual appearance. There are a lot of standalone components available as well. - Source: dev.to / over 3 years ago
UI Kitten: UI Kitten is a React Native framework for creating stunning cross-platform mobile applications. It is based on Eva Design System and provides a set of general purpose UI components styled in a similar way. - Source: dev.to / almost 4 years ago
In the application we built for the client we had two modal instances, the filtering modal (that used the native modal) and an alert modal (where we used UI Kitten's modal). We like the native modal because it offer's us the possibility of deciding how it transitions and it's easier to set it up fullscreen. - Source: dev.to / over 4 years ago
Image source: https://akveo.github.io/react-native-ui-kitten/ React Native UI Kitten โ a React Native implementation of the Eva Design system. It offers a set of about 20 general-purpose components styled in the same way to take care of visual appearance. There are a lot of standalone components available as well. The library is based on Eva Design System, containing a set of general-purpose UI components styled... - Source: dev.to / over 4 years 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 / 16 days 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 / about 1 month 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 / about 1 month 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 2 months 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 2 months ago
NativeBase - Experience the awesomeness of React Native without the pain
Helicone AI - Open-source LLM Observability for Developers
React Native Paper by Callstack - Material Design for React Native (Android & iOS)
LangSmith - Build and deploy LLM applications with confidence
React Native Elements - Cross-platform React Native UI Toolkit
LangChain - Framework for building applications with LLMs through composability