orchest
n8n
Our great sponsors
orchest | n8n | |
---|---|---|
44 | 296 | |
4,020 | 40,455 | |
0.2% | 3.5% | |
4.5 | 10.0 | |
11 months ago | 7 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | Apache 2.0 with Commons Clause |
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
-
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
-
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/
-
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
-
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?
-
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
-
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
-
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
-
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
n8n
- Dify, a visual workflow to build/test LLM applications
-
Helm 101: Creating Helm Charts
A startup, "DevOps Solutions" adopts Helm to streamline their Kubernetes deployments. You're a consultant tasked with creating a basic Helm Chart for n8n. It should be customizable for different environments using values.
- IFTTT is killing its pay-what-you-want Legacy Pro plan
-
A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023
n8n.io - a powerful workflow automation tool
-
Open Source alternatives to tools you Pay for
N8N - Open Source Alternative to Zapier
- Ask YC: tracking events platform and no-code workflow
-
Your privacy is optional
N8N - anything that I would have used Zapier or IFTTT for I now use N8N. It is a bit harder to use but more powerful.
-
To whoever uses Supabase as their backend: what's your full no-code / low-code stack?
I'm using Weweb as my front end and Supabase as my back end. I'm also looking into n8n.io to run some of the backend logic that I'm either unsure how to code myself within Supabase or unsure if Supabase can perform those back-end tasks and workflows. Curious what stack or tools other Supabase users are using?
-
Show HN: Keep – GitHub Actions for your monitoring tools
This is similar to something I saw before: https://n8n.io
- FLaNK Stack Weekly 28 August 2023
What are some alternatives?
docker-airflow - Docker Apache Airflow
Node RED - Low-code programming for event-driven applications
hookdeck-cli - Manage your Hookdeck workspaces, connections, transformations, filters, and more with the Hookdeck CLI
Huginn - Create agents that monitor and act on your behalf. Your agents are standing by!
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
ExpansionCards - Reference designs and documentation to create Expansion Cards for the Framework Laptop
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.