orchest
Appwrite
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orchest | Appwrite | |
---|---|---|
44 | 581 | |
4,020 | 41,016 | |
0.2% | 3.5% | |
4.5 | 10.0 | |
11 months ago | 1 day 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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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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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).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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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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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
Appwrite
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How I use Appwrite Databases with Pinia to build my own habit tracker
If you haven't tried Appwrite, make sure you give it a spin. It's a open source backend that packs authentication, databases, storage, serverless functions, and all kinds of utilities in a neat API. Appwrite can be self-hosted, or you can use Appwrite Cloud starting with a generous free plan.
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Exploring Appwrite: A Comprehensive Guide
What is Appwrite? Appwrite is an open-source backend server that abstracts the complexity of backend development, allowing developers to focus on building their applications. It provides a wide range of services including databases, storage, functions, and authentication, all designed to work seamlessly together. This integration simplifies the development process, reducing the need for extensive configuration and integration work.
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11 Planetscale alternatives with free tiers
Appwrite is an open source BaaS platform that provides services like serverless functions, serverless databases, user authentication, and messaging. Since its release, it has quickly become a popular choice for building websites and applications.
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Biometric authentication with Passkeys
Appwrite for user management, databases, and serverless functions
- Appwrite
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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)?
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.
What are some alternatives?
docker-airflow - Docker Apache Airflow
supabase - The open source Firebase alternative.
hookdeck-cli - Manage your Hookdeck workspaces, connections, transformations, filters, and more with the Hookdeck CLI
Strapi - 🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable and developer-first.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
pocketbase - Open Source realtime backend in 1 file
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
nhost - The Open Source Firebase Alternative with GraphQL.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
Node RED - Low-code programming for event-driven applications
parse-server - Parse Server for Node.js / Express