superset
django-project-template
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| superset | django-project-template | |
|---|---|---|
| 137 | 4 | |
| 58,576 | 160 | |
| 3.1% | - | |
| 9.9 | 2.8 | |
| 6 days ago | 9 months ago | |
| TypeScript | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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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.
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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.
django-project-template
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How I made Python/Django Apps deploy themselves
Here's my template: https://github.com/skorokithakis/django-project-template
I use Dokku for production and Docker Compose for local development. This template is basically clone-and-go.
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What Django *Project* template do you use?
Haha, this is an example: https://github.com/skorokithakis/django-project-template
- Ask HN: Best (Low-/No-Code) Solution for Simple Web-Based Database Front Ends
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Apache Hive - Apache Hive
lottie-web - Render After Effects animations natively on Web, Android and iOS, and React Native. http://airbnb.io/lottie/
lightdash - Self-serve BI to 10x your data team ⚡️
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
Voyager - Voyager - The Missing Laravel Admin
react-admin - A frontend Framework for building data-driven applications running on top of REST/GraphQL APIs, using TypeScript, React and Material Design
xataface - Framework for building data-driven web applications in PHP and MySQL