decile
dagster
decile | dagster | |
---|---|---|
26 | 46 | |
129 | 10,274 | |
-0.8% | 2.7% | |
10.0 | 10.0 | |
over 1 year ago | 2 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
decile
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Looking for a way to share BI within my company
We have a lightweight tool for teams to share SQL queries: https://decile.app
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ChatGPT a fantastic Co-Pilot for any BI Developer - Senior or Junior Level
Big part of what we are building at https://decile.app
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My customer wants to self host
https://decile.app was the app - in case you wonder
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Do you have to memorise all syntax to learn SQL?
One of the reasons I think AI assisted querying is going to be big. We have an AI enabled learning program, feel free to sign up: https://decile.app
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Are there other SQL GUIs with the "in-editor results" feature, aside from JetBrains IDEs?
It’s something we’ve been thinking of building into our app: https://decile.app
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Who does your Support?
We are building a product (https://decile.app) that can help with the former
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Letting users white list my IP
I have a NextJS SaaS app deployed on Vercel (https://decile.app).
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Should a SaaS be open source?
Like others have said it depends on your customer and target market. We have a data product (https://decile.app) and chose open source.
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Long shot: do you have examples of Professional Level SQL Code to help reorient a former SQL expert?
We'd love to have you try our platform: https://decile.app
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Which deployment provider for your SaaS?
Using Vercel for https://decile.app and very happy
dagster
- Experience with Dagster.io?
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Dagster tutorials
My recommendation is to continue on with the tutorial, then look at one of the larger example projects especially the ones named “project_”, and you should understand most of it. Of what you don't understand and you're curious about, look into the relevant concept page for the functions in the docs.
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The Dagster Master Plan
I found this example that helped me - https://github.com/dagster-io/dagster/tree/master/examples/project_fully_featured/project_fully_featured
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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The Why and How of Dagster User Code Deployment Automation
In Helm terms: there are 2 charts, namely the system: dagster/dagster (values.yaml), and the user code: dagster/dagster-user-deployments (values.yaml). Note that you have to set dagster-user-deployments.enabled: true in the dagster/dagster values-yaml to enable this.
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Best Orchestration Tool to run dbt projects?
Dagster seemed really cool when I looked into it as an alternative to airflow. I especially like the software defined assets and built-in lineage which I haven't seen in any other tool. However it seems it does not support RBAC which is a pretty big issue if you want a self-service type of architecture, see https://github.com/dagster-io/dagster/issues/2219. It does seem like it's available in their hosted version, but I wanted to run it myself on k8s.
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dbt Cloud Alternatives?
Dagster? https://dagster.io
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What's the best thing/library you learned this year ?
One that I haven't seen on here yet: dagster
- Anyone have an example of a project where a handful of the more popular Python tools are used? (E.g. airbyte, airflow, dbt, and pandas)
- Can we take a moment to appreciate how much of dataengineering is open source?
What are some alternatives?
metabase-school - A Metabase-integrated, real-time collaborative tool for writing SQL
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
flyctl - Command line tools for fly.io services
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
MLflow - Open source platform for the machine learning lifecycle
meltano
OpenLineage - An Open Standard for lineage metadata collection
streamlit - Streamlit — A faster way to build and share data apps.