
PHPCodeChecker
WritePHPOnline.Com
PHPTester.net
Paiza.io
OnlinePHPFunctions
3V4L
PHP Sandbox
Rapid PHP
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.
PHPCodeChecker
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Based on our record, Langfuse should be more popular than PHPCodeChecker. 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.
Agreed -- but one of my original observations was how the syntax checker at https://phpcodechecker.com/ did not flag the "illegal" spaces if PHP 5.6 was selected, but did flag them if 7.4 or 8.1 is selected. This prompted my original question whether something changed from v5 to v7 in terms of white-space interpretation. Source: over 3 years ago
Https://phpcodechecker.com/ // reports errors in your code. Source: about 4 years ago
I used this website: https://phpcodechecker.com/. Source: about 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 / 10 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 / 28 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 / 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 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 2 months ago
WritePHPOnline.Com - WritePHPOnline.Com is an online site that enables you to write code in PHP and view its output.
Helicone AI - Open-source LLM Observability for Developers
PHPTester.net - PHPTester.net gives developers and learners the ability to write their PHP code and get the output online.
LangSmith - Build and deploy LLM applications with confidence
Paiza.io - Paiza.io allows you to write and run code in many languages.
LangChain - Framework for building applications with LLMs through composability