orchest
Baserow
Our great sponsors
orchest | Baserow | |
---|---|---|
44 | 45 | |
4,020 | - | |
0.2% | - | |
4.5 | - | |
11 months ago | - | |
TypeScript | Python,JavaScript | |
Apache License 2.0 | MIT |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
Baserow
- Retool Database
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10 open-source alternatives to run your businesses
4. Baserow - 1.5k ⭐️
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Just released Baserow 1.15 with timezone support, today() & now() formula functions, personal views and more - open-source Airtable alternative.
GitLab repository: https://gitlab.com/bramw/baserow.
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Baserow for Developers: January Developer Digest
💬 Follow us at @baserow on Twitter for staying in the known of all company updates and news. ⌨️ Join the Baserow community forum to chat with other developers and the Baserow team. ⭐️ Star Baserow on GitLab to show your appreciation of our work.
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🎉 Just released Baserow 1.14 with the audit log, Baserow role based permissions & more…!
Check out the full roundup: https://baserow.io/blog/1-14-release-of-baserow. Test out Baserow 1.14: https://baserow.io. GitLab repository: Bram Wiepjes / baserow · GitLab.
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Open Source Django Projects for Study
Baserow
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Use cookies and sessions (not JWTs) for authentication
I'd also written an article on token authentication for django: https://www.spapas.net/2021/08/25/django-token-rest-auth/ using the REST Framework's TokenAuthentication.
This is simplest thing for most cases.
The session authentication that is proposed in the article is also great but has two problems:
* It will be hacky to implement for mobile apps (it should be possible but would not be something I'd like to do, I had tried in the past and remember that I needed to jump to a lot of hoops to "pick" that session cookie)
* The cookies can't be shared between different domains (cookies be shared the same domain or between a parent and child domain, i.e api.example.com can set/get cookies from .example.com).
So you can use the SessionAuthnentication if your frontend and backend share their domain and you know that your API won't ever be used for mobiles apps. On all other cases use TokenAuthentication.
I don't have experience with JWT Authentication, however I know it can be done and is used be various apps f.e baserow: https://gitlab.com/bramw/baserow/-/blob/develop/backend/src/...
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Can you (developers who've worked professionally with Djano) share a Django project Dockerfile and docker-compose files with what you consider best practices?
Feel free to dig into https://gitlab.com/bramw/baserow repository, e.g. https://gitlab.com/bramw/baserow/-/blob/develop/backend/Dockerfile... There are docker compose files too.
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Check out Baserow 1.13 with role-based access control and SSO + support us on Product Hunt 🚀 - Open Source Airtable alternative
Great idea! I've created an issue for it on the backlog https://gitlab.com/bramw/baserow/-/issues/1399.
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🔥 We’ve just released 1.13.1 with direct support for enterprise, hiding form view fields via query parameters, and many other things.
Here is the full scoop on all new things: https://gitlab.com/bramw/baserow/-/releases/1.13.1.
What are some alternatives?
docker-airflow - Docker Apache Airflow
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
hookdeck-cli - Manage your Hookdeck workspaces, connections, transformations, filters, and more with the Hookdeck CLI
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
seatable - SeaTable: easy like a spreadsheet, powerful like a database. Unlimited rows in a single base.
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
Node RED - Low-code programming for event-driven applications
superset - Apache Superset is a Data Visualization and Data Exploration Platform