shinyapps-package-dependencies
superset
shinyapps-package-dependencies | superset | |
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8 | 137 | |
76 | 58,852 | |
- | 1.5% | |
5.9 | 9.9 | |
30 days ago | 7 days ago | |
R | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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shinyapps-package-dependencies
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Scientists Developed a Tool to Reveal Who's at Risk of Burnout, and It's Free
https://www.shinyapps.io
Pricing page mentions something about 'active hours', and if you're on 'free' or 'starter' tier, no more users can use the app until next month. Their pricing page doesn't mention anything about 'concurrent' users, but that error message might just be a legacy holdover?
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Deploying a Shiny app as self-contained application?
Docker would potentially be an option. Look at https://github.com/rocker-org/rocker-versioned. There is also https://www.shinyapps.io/ if you would rather not host the app locally.
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Facet wrap in excel 🤡
https://www.shinyapps.io is fairly simple to implement. (The actual shiny less so )
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R microservices - deploying R script to the cloud? Does this even exist?
Yes. The lowest-effort path is going to be a subscription to shinyapps, which comes with basic authentication and some control over compute/memory allocation.
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Offline Shiny App
My experience was that it was unreliable. Bit sluggish, and sometimes the app would not start and I would have to restart computer and hope it would work. But I thought I would mention it as an option since it fit your description. Is there a reason why you cannot deploy it to https://www.shinyapps.io/ ?
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Build a website with R
R Shiny is the way. https://www.shinyapps.io/
- Does anyone have experience with live dashboards?
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Push Button Publishing for Shiny Apps
Keep in mind that Shinyapps.io is a managed service and comes with some limitations regarding dependencies: required R packages need to be able to run on Ubuntu Linux and cannot rely on graphical display only (Tcl/Tk). Installing packages from Bioconductor needs the repositories set by setRepositories(). If a package has missing system dependencies, you can find available system packages here, or file an issue here.
superset
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Apache Superset
Superset is absolutely phenomenal. I really hope Microsoft eventually releases all of their customizations they made to it internally to the OS community someday.
https://www.youtube.com/watch?v=RY0SSvSUkMA
https://github.com/apache/superset/discussions/20094
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A modern data stack for startups
I recently ran a little shootout between Superset, Metabase, and Lightdash. All have nontrivial weaknesses but I ended up picking Lightdash.
Superset the best of them at _data visualization_ but I honestly found it almost useless for self-serve _BI_ by business users. This issue on how to do joins in Superset (with stalebot making a mess XD) is everything difficult about Superset for BI in a nutshell. https://github.com/apache/superset/issues/8645
Metabase is pretty great and it's definitely the right choice for a startup looking to get low cost BI set up. It still has a very table centric view, but feels built for _BI_ rather than visualization alone.
Lightdash has significant warts (YAML, pivoting being done in the frontend, no symmetric aggregates) but the Looker inspiration is obvious and it makes it easy to present _groups of tables_ to business users ready to rock. I liked Looker before Google acquired it. My business users are comfortable with star and snowflake schemas (not that they know those words) and it was easy to drop Lightdash on top of our existing data warehouse.
- FLaNK Stack Weekly for 20 Nov 2023
- Hiding tokens retrieved via API from the html source?
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Yandex open sourced it's BI tool DataLens
Or like not being able to delete a user without running some SQL:
https://github.com/apache/superset/issues/13345
Almostl instantly run into this issue setting up a test instance of Superset. And the issue has been around for years.
- Apache Superset Is a Data Visualization and Data Exploration Platform
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Apache Superset: Installing locally is easy using the makefile
Are you interested in trying out Superset, but you're intimidated by the local setup process? Worry not! Superset needs some initial setup to install locally, but I've got a streamlined way to get started - using the makefile! This file contains a set of scripts to simplify the setup process.
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More public SQL-queryable databases?
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding.
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How useful is SQL for managers?
if they don't want to pay for powerbi, can try something like https://superset.apache.org/
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Real-time data analytics with Apache Superset, Redpanda, and RisingWave
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.
What are some alternatives?
electron-quick-start - Clone to try a simple Electron app
streamlit - Streamlit — A faster way to build and share data apps.
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
DesktopDeployR - A framework for deploying self-contained R-based applications to the desktop
Apache Hive - Apache Hive
shinyproxy-hello
lightdash - Self-serve BI to 10x your data team ⚡️
RInno - How to install local shiny apps
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
rocker-versioned - Run current & prior versions of R using docker
django-project-template - The Django project template I use, for installation with django-admin.