datastation-documentation
awesome-business-intelligence
datastation-documentation | awesome-business-intelligence | |
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3 | 1 | |
3 | 1,957 | |
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0.0 | 0.0 | |
almost 2 years ago | 6 months ago | |
HTML | ||
GNU General Public License v3.0 or later | MIT 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.
datastation-documentation
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Show HN: DataStation – App to easily query, script, and visualize data
Hey folks! I quit my job at Oracle almost a year ago now to build DataStation. It's an app I've wanted as an engineering manager for years now.
DataStation helps you query a variety of data sources (conventional SQL like PostgreSQL and MySQL, non-SQL like Prometheus or Elasticsearch), files and HTTP APIs. It is not a SQL layer on top of these various APIs like FDW in Postgres or Apache Calcite. For Prometheus you query with PromQL. For Elasticsearch you query with Lucene. And for SQL databases you query with their SQL dialect.
DataStation is made of panels (other apps might call them cells) that each produce a result. Panels can refer to other panels. These allow you to build workflows that cross the boundary of a particular datasource. For example you might have some data in a CSV a product manager gave you and the bulk of your data is in PostgreSQL. DataStation helps you pull together these data sets and script them.
DataStation is mainly a desktop app today where the end result is that you export graph SVGS or HTML tables or markdown tables or just a CSV file. All this data stays on your laptop so it's as easy to use in a corporate environment as any existing SQL IDE or Jupyter Notebook.
In the last year it's reached 1.5k stars on Github, over 1000 unique users and currently on-average about 40 fairly active users per month (defined as having opened the app more than a few times).
DataStation is primarily an Electron app but the code that evaluates panels is written in Go.
You can find a ton of tutorials on how to interact with supported databases on the DataStation website: https://datastation.multiprocess.io/docs/.
Looking forward to your feedback!
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Ask HN: Tools to visualize data in SQL database?
There are primarily a bunch of tutorials for getting started [0] (these are up to date) and some old videos (not up to date) [1].
[0] https://datastation.multiprocess.io/docs/
[1] https://www.youtube.com/channel/UCGOQFKonPUVo5LgxQDW26yg/vid...
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Ask HN: What are you using for public documentation these days?
A markdown generator embeds markdown from a Github repo into the marketing site. This way the marketing site is kept private while anyone can easily contribute to docs.
Docs are kept in separate folders for each release.
https://github.com/multiprocessio/datastation-documentation
awesome-business-intelligence
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Ask HN: Tools to visualize data in SQL database?
Someone recently posted this list to a similar question:
https://github.com/thenaturalist/awesome-business-intelligen...
From this I picked Metabase and found it to be pretty good.
What are some alternatives?
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
AdventureWorks-Analytics - Analyzing Manufacturing and Inventory Operations of the AdventureWorks Database using Power BI
franchise - 🍟 a notebook sql client. what you get when have a lot of sequels.
Motor Admin - Deploy a no-code admin panel for your application in less than a minute. Stop wasting time on custom internal tools and focus on the actual product. Motor Admin allows to launch a custom admin panel for any application.