SQLZOO
SQLBolt
Egghead
Codecademy
Tutorialzine
Progate
TutorialsTeacher
ExamTray
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.
SQLZOO LangfuseLangfuse might be a bit more popular than SQLZOO. We know about 28 links to it since March 2021 and only 20 links to SQLZOO. 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://sqlzoo.net/ is one of my faves. Source: almost 5 years ago
Sql Zoo https://sqlzoo.net is great. Starts with really basic queries and gradually moves to more advanced queries and joins. There are tests for each section to help internalize it. Source: almost 5 years ago
Check out sites like https://sqlzoo.net and try out the basics of SQL. And if that grabs your attention head over to youtube or udemy and take some courses. Source: almost 5 years ago
Sqlbolt.com and sqlzoo.net are both fun, fast, and free. Source: almost 5 years ago
What is a good tutorial that can explain everything to me from the start that you have used yourself?There are lots of great tutorials out there, some mentioned already in this post. https://sqlzoo.net was what I started with years ago. If you'd like to start from the beginning, avoiding lectures and instead focusing on exercises, I would suggest https://sixweeksql.com since it targets MS SQL specifically and will... Source: almost 5 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 / 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 / 30 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
SQLBolt - SQLBolt provides a set of interactive lessons and exercises to help you learn SQL
Helicone AI - Open-source LLM Observability for Developers
Egghead - Learn the best JavaScript tools and frameworks from industry pros. Video tutorials for badass web developers.
LangSmith - Build and deploy LLM applications with confidence
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, weโve taught over 45 million people using a tested curriculum and an interactive learning environment.
LangChain - Framework for building applications with LLMs through composability