
Google's Python Class
Think Python
The New Boston video series
A Byte of Python
Hackr.io
Learn Python The Hard Way
Corey Schafer Youtube
Udacity - CS101
Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
LangChain
Openlayer
Google's Python Class
Helicone AINo features have been listed yet.
Based on our record, Google's Python Class should be more popular than Helicone AI. It has been mentiond 23 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.
Decided to write this post. I will be studying from: 1)https://developers.google.com/edu/python 2)https://www.py4e.com/ 3)https://realpython.com/. - Source: dev.to / 11 months ago
Https://youtu.be/rfscVS0vtbw Https://developers.google.com/edu/python/. Source: about 3 years ago
The original Google Python crash course was made for people like you in mind! Self paced with exercises set up for you to jump right in. Source: about 3 years ago
Google Education Python Course: https://developers.google.com/edu/python/. Source: over 3 years ago
This is how I started, and was enough to get me started on a large automation project for work: https://developers.google.com/edu/python. Source: over 3 years ago
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / 20 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
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 3 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 4 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
Think Python - Learning Resources
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
LangSmith - Build and deploy LLM applications with confidence
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
Portkey - Build production-grade & reliable AI apps with Portkey