nutter
Redash
nutter | Redash | |
---|---|---|
2 | 38 | |
262 | 25,020 | |
2.3% | 0.9% | |
0.0 | 9.5 | |
24 days ago | 5 days ago | |
Python | Python | |
MIT License | 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.
nutter
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How much object orienteered do you use in your projects? Bonus points for integration and unit tests
From my experience OO gives you much more flexibility in designing your pipeline but you're risking to make the project way more complicated. The worst example I have seen is the Nutter library (https://github.com/microsoft/nutter), which uses endless classes that are all nested in each other. I once had a bug when using it, and it was a huge pain in the ass to understand what's going on when the code is executed. It is a very good example of what can go wrong when you're overusing OO. However, in one project, I carefully created few classes, just out of curiosity, and I was very impressed how it helped me to organize/structure my code. A functions hase a clear dedicated use, but a good class is like a Swiss army knife with an solid set of functionalities. If you know how to use it in a smart way, you are likely to increase the quality of your code, but the contrary is also very likely, especially when the team members are not ready for it.
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How do you test your pipelines?
- https://github.com/microsoft/nutter
Redash
- Redash: Connect to data source, easily visualize, dashboard and share your data
- FLaNK Stack 26 February 2024
- Contribuir con proyectos Open Source
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Auto reloading Odoo with Docker
It seems like there may be an issue with Watchdog on Apple Silicon.
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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.
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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. :)
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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.
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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.
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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
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Real Time Data Infra Stack
redash
What are some alternatives?
cicd-templates - Manage your Databricks deployments and CI with code.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
dbt-databricks - A dbt adapter for Databricks.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
azure-devops-python-api - Azure DevOps Python API
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
terraform-provider-azuredevops - Terraform Azure DevOps provider
bokeh - Interactive Data Visualization in the browser, from Python
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
Druid - Apache Druid: a high performance real-time analytics database.