Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
sqlize.online
phpize.online
SQL Fiddle
DB Fiddle
Online SQL Editor
db<>fiddle
Rextester
SQLZOO
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.
Langfuse
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Simple way to run SQL and test it in different DB versions.
Based on our record, Langfuse should be more popular than sqlize.online. 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.
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 / 11 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 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
If you want to experiment with ROWS, RANGE, and GROUPS directly, sqlize.online is the easiest place to test queries quickly. If you want a more structured way to study SQL through lessons and practice, I publish that work on sqltest.online. - Source: dev.to / 4 months ago
Elements into fully functional SQL editors. Powered by the SQLize.online engine, it allows users to write and execute SQL against real database instances without leaving your page. Key Features 20+ Database Engines: Supports everything from the classics like MySQL 8.0/9.3, PostgreSQL (14-18), and SQLite 3, to enterprise giants like MS SQL Server (2017-2025) and Oracle 23ai. Ready-to-Use Datasets:... - Source: dev.to / 6 months ago
Just replace 'start_date' and 'end_date' with your desired start and end dates and try it on SQLize.online. - Source: dev.to / almost 3 years ago
If you want to practice creating tables with auto-increment columns and executing SQL statements, you can try using an online SQL editor like SQLize.online, which allows you to create tables, insert data, and run SQL queries on a live database. - Source: dev.to / over 3 years ago
Introducing SQLize.online โ an online SQL playground that has integrated ChatGPT as its virtual assistant. Integrating the chatbot into the platform's API was a relatively easy task, but fine-tuning the chatbot's responses was a different story. It took considerable time and effort to make sure the chatbot's answers were accurate and easy to understand. - Source: dev.to / over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
phpize.online - PHPize.online is a free online environment for quickly running, experimenting with and sharing PHP and SQL code.
LangSmith - Build and deploy LLM applications with confidence
SQL Fiddle - A tool for easy online testing and sharing of database problems and their solutions.
LangChain - Framework for building applications with LLMs through composability
DB Fiddle - An online tool for testing, sharing and collaborating on SQL snippets