
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Lua
Python
C++
Java
Trillian
JavaScript
TigerText Essentials
TigerFlow
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.
LangfuseLangfuse might be a bit more popular than Lua. We know about 32 links to it since March 2021 and only 23 links to Lua. 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 is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 9 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 12 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 17 days 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 / 30 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 — step by step. - Source: dev.to / 2 months ago
I would start at https://lua.org/ I'm creating a set of libraries to make Lua into a (still lightweight) application language https://github.com/civboot/civlua. - Source: Hacker News / over 2 years ago
Lua means 'Moon' in Portuguese, as it is also their logo: https://lua.org. - Source: Hacker News / over 2 years ago
The official lua website is a pretty good place to go! As well as lua users & tutorials point has a really good tutorial for lua too! The official site may be hard to understand at time (it was for me at least) but that’s why I gave you the other two. they’ll explain it simpler/better than the official site may sometimes. Hope this helps! Source: over 3 years ago
1) Who Should Sign Up? - People with no, little, or intermediate skills in programming or PICO-8. 2) What Will We Cover? - Fantasy Console Paradigm: The Full Overview of What PICO-8 can do. - Lua and the uses of its modified API within PICO-8. Programming, 101. 3) What to Expect - A full game all your own! - Brought together in a 4-8 classes, in live teaching sessions in which you can interact with... Source: over 3 years ago
I have tried a few thins but no luck and found nothing on the web, also looks as if lua.org main forums no longer exist. Source: over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
LangSmith - Build and deploy LLM applications with confidence
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
LangChain - Framework for building applications with LLMs through composability
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible