datastation-documentation
Redash
datastation-documentation | Redash | |
---|---|---|
3 | 38 | |
3 | 24,994 | |
- | 0.8% | |
0.0 | 9.5 | |
almost 2 years ago | 3 days ago | |
HTML | Python | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" 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
-
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!
-
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...
-
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
Redash
- Redash: Connect to data source, easily visualize, dashboard and share your data
- FLaNK Stack 26 February 2024
- Contribuir con proyectos Open Source
-
Auto reloading Odoo with Docker
It seems like there may be an issue with Watchdog on Apple Silicon.
-
Tool or service for querying and exposing database through API
I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code somewhere, my other service would call this tool e.g. http://microservice/query=1?param1=xx&page=2 and get the results from the DB. These calls are internal only and part of ETL processes, but of course authentication would be required.
-
A PostgreSQL Docker container that automatically upgrades PostgreSQL
Yeah, a lot of the time I'd agree with you.
This container came about for the Redash project (https://github.com/getredash/redash), which has been stuck on PostgreSQL 9.5 (!) for years.
Moving to a new PostgreSQL container version is easy enough for new installations, but rolling that kind of change out to an existing userbase isn't so pretty.
For people familiar with the command line, PostgreSQL, and Docker then no worries.
But a large number of Redash deployments seem to have been done by people not skilled in those things. "We deployed it from the Digital Ocean droplet / AWS image / etc!"
For those situations, something that takes care of the database upgrade process automatically is the better approach. :)
-
Did anyone try Openblocks for multi-tenant client reporting?
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with.
-
Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs.
-
Chartbrew – create live reporting dashboards from APIs, MongoDB, Firestore, etc.
Redash seems to be dead or at least in hibernation. There hasn't been a release in over a year.
https://github.com/getredash/redash/issues/5891
-
Real Time Data Infra Stack
redash