langfuse
create-t3-app
langfuse | create-t3-app | |
---|---|---|
11 | 183 | |
3,681 | 23,617 | |
30.4% | 3.3% | |
9.9 | 9.2 | |
7 days ago | 2 days ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
langfuse
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/
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How are generative AI companies monitoring their systems in production?
We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.
[1] https://github.com/langfuse/langfuse
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
create-t3-app
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Deploy Full-Stack Next.js T3App with Cognito and Prisma using AWS Lambda
import { unstable_noStore as noStore } from "next/cache"; import Link from "next/link"; import { CreatePost } from "~/app/_components/create-post"; import { getServerAuthSession } from "~/server/auth"; import { api } from "~/trpc/server"; export default async function Home() { noStore(); const hello = await api.post.hello.query({ text: "from tRPC" }); const session = await getServerAuthSession(); return (
Create T3span> App h1>
First Steps →h3>
Just the basics - Everything you need to know to set up your database and authentication. div> Link>Documentation →h3>
Learn more about Create T3 App, the libraries it uses, and how to deploy it.div> Link> div>{hello ? hello.greeting : "Loading tRPC query..."}p>
{session && Logged in as {session.user?.email}span>} p> {session ? "Sign out" : "Sign in"} Link> div> div> div> main> ); } async function CrudShowcase() { const session = await getServerAuthSession(); if (!session?.user) return null; const latestPost = await api.post.getLatest.query(); return (
{latestPost ? (Your most recent post: {latestPost.name}p> ) : (
You have no posts yet.p> )} div> ); }
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Interview with Senior JavaScript Developer 2024 [video]
I thought he was making stuff up - "t3 stack vs t4 stack". But about 2 minutes in, I realized that I'd heard of a few things that he's talking about so I looked it up and they're real!
I think it's possible everything he's saying is true, more or less. LOL
t3: https://create.t3.gg
t4: https://t4stack.com
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Localized tRPC errors
We start with a project that was bootstrapped with create-t3-app. For internationalization we use next-intl and set it up as described in the getting started guide. With this initial project setup we can jump into implementing localized error messages.
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Building an Admin Console With Minimum Code Using React-Admin, Prisma, and Zenstack
I used create-t3-app to scaffold the Next.js app, with TypeScript, Prisma, and "app router" enabled in the options. You can also use create-next-app for the job and install Prisma manually.
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Leaving Everything Behind For Elixir [Theo – t3․gg] [video]
I agree that the quantity of publicly available code isn't the most reliable indicator of someone's seniority.
My issue with this individual arises from the discrepancy between his public claims of significant expertise in the content he produces. He positions himself as a highly experienced developer, attracting a large following of junior developers who take his advice at face value.
I am trying to collect data points supporting his claims of seniority. For instance, his website prominently features a statement that he is the creator of the T3 Stack. However, a review of the contributor statistics for the T3 Stack (https://github.com/t3-oss/create-t3-app/graphs/contributors)... minimal contributions from him, which raises questions about the validity of his claims.
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Ask HN: Which full stack framework (NextJS, Remix, SvelteKit) would you use?
I would recommend - https://create.t3.gg/
It uses the following, which as of late are pretty well know and common, so you can punch in your problems to stackoverflow, google, or chatgpt and get some pretty good answers.
It uses:
Nextjs (React), typescript, trpc (typescript rpc), auth, tailwind, and Prisma (ORM)
Though of course these could go out of fashion tomorrow, but I don't think the essential idea behind these libs and frameworks are that wacky, unique or unordinary.
Prisma ORM, is a little opinionated, and you could swap it out for Drizzle, which is basically typescript side sugared SQL.
TRPC might be also be a little sticky because it is tied to typescript, this is the tradeoff for the buttery smooth coupling for the fullstack experience. I think there exists a typed-rest solution out there, but haven't used it.
Personal anecdata, I used this stack for a little hobby project and it was FUN.
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You don't need to pay for SaaS boilerplates - Open SaaS
Open SaaS was built with Typescript, and because it’s a full-stack app, type safety from the back-end to the front-end can be a real lifesaver. I mean, some opinionated stacks have gotten hugely popular on this basis.
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Building a Local Development Environment: Running a Next.js Full-Stack App with PostgreSQL and Minio S3 Using Docker
Let's start by creating a Next.js application. We will use the T3 stack (TypeScript, TailwindCSS, and Prisma ORM) for this tutorial to skip installing and configuring all the dependencies which is out of the scope of this article. You can find more information about the T3 stack.
- Ask HN: Who wants to be hired? (January 2024)
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Show HN: Build your startup or side project faster with these SaaS templates
https://github.com/t3-oss/create-t3-app
You still would need to add Stripe but there are so many examples publicly available that it should be straight forward
What are some alternatives?
trulens - Evaluation and Tracking for LLM Experiments
vite - Next generation frontend tooling. It's fast!
llama_index - LlamaIndex is a data framework for your LLM applications
next-pwa-contentlayer - Next.js PWA App with `next-i18next` and `Contentlayer`.
langchain - 🦜🔗 Build context-aware reasoning applications
Refine - A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibility.
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
supabase - The open source Firebase alternative.
opentelemetry-instrument-openai-py - OpenTelemetry instrumentation for the OpenAI Python library
turbo - Incremental bundler and build system optimized for JavaScript and TypeScript, written in Rust – including Turbopack and Turborepo.
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.
next-auth - Authentication for the Web.