orchest
Appwrite
Our great sponsors
orchest | Appwrite | |
---|---|---|
44 | 578 | |
4,016 | 40,558 | |
0.2% | 3.5% | |
4.5 | 10.0 | |
10 months ago | about 14 hours ago | |
TypeScript | TypeScript | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
orchest
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Prefect vs other things question
If you’re looking for something with a great UI experience you can check out our open source project called Orchest. It might be what you seek from a simplicity perspective. https://github.com/orchest/orchest
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Airflow's Problem
Argo is pretty amazing if you want to take advantage of the work Kubernetes has done to scale resource efficiently across a cluster of compute nodes.
If you’re looking for something that’s a bit more high level and friendly to expose directly to your data team (data scientists/data engineers/data analysts) you can check out https://github.com/orchest/orchest
You can think of it as a browser UI/workbench for Argo scheduled pipelines. Disclaimer: author of the project
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How are you guys validating your data?
+1 on a lightweight version of GE to more easily make part of an existing pipeline. Would like it for internal use (our data pipelines), but also for our open source users (https://github.com/orchest/orchest).
- Apache Hop 2.0
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I reviewed 50+ open-source MLOps tools. Here’s the result
You might want to add https://github.com/orchest/orchest/ to the Pipeline orchestration category (disclaimer: I work at the company making it)
Appwrite
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Biometric authentication with Passkeys
Appwrite for user management, databases, and serverless functions
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100+ FREE Resources Every Web Developer Must Try
Appwrite: Open-source backend server for web and mobile developers.
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The 2024 Web Hosting Report
Today, this ecosystem is going strong with new providers like Hasura, AppWrite and Supabase powering millions of projects. There are a few reasons people choose this style of hosting, especially if they are more comfortable with frontend development. BaaS lets them set up a database in a secure way, expose some business logic on top of the data, and connect via a dev-friendly SDK from their app or website code to save data easily. These modern tools build a blend of managed database with curated plugins such as authentication, great admin dashboards, and function as a service type capability - all in one package, and often offered as a integrated hosted service.
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Why would you use Backend as a Service (BaaS)?
Appwrite is a backend platform for developing Web, Mobile, and Flutter applications. Built with the open source community and optimized for developer experience in the coding languages you love.
View on GitHub
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2024 Web Development Wish List
Joins - see Future of Queries - MariaDB supports json joins, so definitely possible!
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Show HN: Mutable.ai – Turn your codebase into a Wiki
Wow, looks nice! I almost felt like I could understand Bitcoins code xD
Could you do Appwrite? https://github.com/appwrite/appwrite
I'm not affiliated to them, just wanted to get started hacking it.
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An intro to Appwrite | Building a To-do list with SvelteKit
A to-do list is the playground for experimenting with a new technology, right? It ain't much but it allows you not only to understand the basics but also to get familiar with the docs for any extra 💫 dazzle 💫 that you may want to add. And that's exactly what we'll do with Appwrite!
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Building Your Notion Replica: A Quick Guide (using Next.js, Appwrite, and Shadcn-ui)
Appwrite.io: site | docs
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Appwrite's Hacktoberfest 2023 journey
Security Scans in the CI pipeline using GitLeaks
What are some alternatives?
supabase - The open source Firebase alternative.
Strapi - 🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable and developer-first.
pocketbase - Open Source realtime backend in 1 file
nhost - The Open Source Firebase Alternative with GraphQL.
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
parse-server - Parse Server for Node.js / Express
serverpod - Serverpod is a next-generation app and web server, explicitly built for the Flutter and Dart ecosystem.
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
amplication - 🔥🔥🔥 Open-source backend development platform. Build production-ready services without wasting time on repetitive coding.
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Next.js - The React Framework