superset
Strapi
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superset | Strapi | |
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137 | 458 | |
58,737 | 59,941 | |
3.4% | 1.5% | |
9.9 | 10.0 | |
6 days ago | 1 day ago | |
TypeScript | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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.
Strapi
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How to Build an AI FAQ System with Strapi, LangChain & OpenAI
Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database.
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Ask HN: Best OSS SQL Query Builder in Any Language
https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed.
They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental understanding of the data model and SQL
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Headless CMS: Directus vs Payload vs Strapi in 2024
As of April 2024, Strapi's GitHub repository has garnered 59.7k stars and 7.5k forks, showcasing its widespread adoption. The project has also secured a substantial $45+ million in funding, cementing its position as a prominent player in the headless CMS space.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
const pages = await client.GET("/pages", { params: { query: { filters: { // @ts-ignore - openapi generated from strapi results in Record // https://github.com/strapi/strapi/issues/19644 path: { $eq: path, }, }, // @ts-ignore populate: { blocks: { populate: "*" }, }, }, }, });
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Forgot password flow with Strapi and NextAuth
On a side note. Where do all these endpoints come from? Strapi is open source. We can read the source code. All these endpoint come from the Users and permissions plugin. So, if we go to Strapi on github and browse around the files a bit eventually you will find the auth.js file that contains all of the routes. You can also find the Strapi controllers in there if you're interested.
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The Mechanics of Silicon Valley Pump and Dump Schemes
Strapi
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Open-Source Headless CMS in 2024
Strapi: The Code Anarchist
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Integrate Strapi on Nuxt
Strapi - Open source Node.js Headless CMS π
- Posthog is closing their Slack community in favor of forum
- Setup containerized Application in AWS ECS - Part 3/3
What are some alternatives?
streamlit - Streamlit β A faster way to build and share data apps.
Appwrite - Build like a team of hundreds_
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
KeystoneJS - The most powerful headless CMS for Node.js β built with GraphQL and React
Apache Hive - Apache Hive
AdminJS - AdminJS is an admin panel for apps written in node.js
lightdash - Self-serve BI to 10x your data team β‘οΈ
Ghost - Independent technology for modern publishing, memberships, subscriptions and newsletters.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
ApostropheCMS - A full-featured, open-source content management framework built with Node.js that empowers organizations by combining in-context editing and headless architecture in a full-stack JS environment.
django-project-template - The Django project template I use, for installation with django-admin.
Directus - The Modern Data Stack π° β Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.