superset
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superset | Baserow | |
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137 | 45 | |
57,792 | - | |
2.4% | - | |
9.9 | - | |
5 days ago | - | |
TypeScript | Python,JavaScript | |
Apache License 2.0 | MIT |
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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
Had a very good experience with Superset.
Superset allowed us to replace Tableau and not looking back
Took me a while figure out how to embed it into my app using Superset Embedded SDK.
Superset Embedded SDK - "Embedded SDK allows you to embed dashboards from Superset into your own app, using your app's authentication. Embedding is done by inserting an iframe, containing a Superset page, into the host application."
https://github.com/apache/superset/tree/master/superset-embe...
Superset is based on very high quality and well maintained chart library eChart
https://echarts.apache.org/examples/en/#chart-type-linesG
Community Roadmap
https://github.com/apache/superset/projects?query=is%3Aopen
Huge respect to Preset.io and its team for contributing to the project and keep it in a great shape
Superset source code is very easy to read and understand, and as a result it's possible to implement some advanced caching techniques reduce the load on charts.
No BI is perfect.
Watching Superset for years gives me confidence the project will work as supposed down the road, and eventually some of its packages can be reusable for all kind of visualizations and data hacking.
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
Do you have any thoughts on Superset? Did you consider it as a candidate?
For anyone who doesn't know: https://superset.apache.org/
(There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.)
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
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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.
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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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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.
Baserow
- Retool Database
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10 open-source alternatives to run your businesses
4. Baserow - 1.5k ⭐️
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Open Source Django Projects for Study
Baserow
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Can you (developers who've worked professionally with Djano) share a Django project Dockerfile and docker-compose files with what you consider best practices?
Feel free to dig into https://gitlab.com/bramw/baserow repository, e.g. https://gitlab.com/bramw/baserow/-/blob/develop/backend/Dockerfile... There are docker compose files too.
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💥 The AMA has started 💥 Put your questions in the comments under this post!
If I understand correctly, you're building a Baserow plugin and you're introducing a new view type. In this new view type, you want to use one of the existing view types like grid, gallery, etc. You could look at for example importing the GridView component and provide the correct parameters to render the data, although it will probably need some additional changes for it to work properly. https://gitlab.com/bramw/baserow/-/blob/develop/web-frontend/modules/database/components/view/grid/GridView.vue
This is unfortunately not yet possible at the moment. We do expect to release these filters in version 1.12 (next release). You can track the progress here: https://gitlab.com/bramw/baserow/-/issues/1093.
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Gitlab is splitting their main and ci Postgres databases
Is anyone also experiencing problems with purchasing additional CI minutes? I bought extra minutes yesterday and this morning, but they've not been added to my account. Before this worked instantly. It's blocking some of the development processes for us because the pipelines don't run right now, we've ran out of minutes. I'm curious whether it's related to splitting the database.
If anyone from GitLab is reading this, it's for the public repository of Baserow https://gitlab.com/bramw/baserow. Help would be much appreciated.
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Any guides on how to selfhost Baserow?
curl -o .env https://gitlab.com/bramw/baserow/-/blob/master/.env.example
We hope to get official arm images published for the next release. For now if you are able to build your own images on the arm machine itself then the steps at https://gitlab.com/bramw/baserow/-/issues/925 should get Baserow running for you.
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Just released Baserow 1.10 with multiple cell paste, undo-redo, coloring of rows and much more! - Open source Airtable alternative
GitLab repository: https://gitlab.com/bramw/baserow
What are some alternatives?
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
streamlit - Streamlit — A faster way to build and share data apps.
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
Apache Hive - Apache Hive
lightdash - Open source BI for teams that move fast ⚡️
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
django-project-template - The Django project template I use, for installation with django-admin.
react-admin - A frontend Framework for building data-driven applications running on top of REST/GraphQL APIs, using TypeScript, React and Material Design
seatable - SeaTable: easy like a spreadsheet, powerful like a database. Unlimited rows in a single base.
nifi - Apache NiFi