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.). - Source: Hacker News / 2 months ago
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. Source: 8 months ago
If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 8 months ago
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... - Source: dev.to / 9 months ago
For charting, I use superset. It is a good solution if you have a server, but a bit difficult to install. You can use hledger2psql to convert the journal to a database and you can use the docker-compose file included to install with one command. Source: 11 months ago
There are other viz tools out there, such as Tableau, Quicksight, Looker, Qlikview, and many others in the commercial space. On the open source side, there are some options; Apache Superset is one. Source: 11 months ago
Perhaps try a BI tool like Tableau, power BI or https://superset.apache.org/. Source: about 1 year ago
You can use superset[0]. Its a Flask app that can connect to databases, read csv, json and create good plots [0] https://superset.apache.org/. - Source: Hacker News / about 1 year ago
Very cool! Anyone know how this compares to Apache Superset? https://superset.apache.org/. - Source: Hacker News / about 1 year ago
Just don't let the folks at Apache hear you, or they'd be very upset. Source: about 1 year ago
The chosen app for visualizing data at our data warehouse is Apache Superset it is an incredible tool considering it is free, and from my experience it has most of the features we can find the famous and paid Power BI. In addition, Superset is also ready for streaming needs and is cluster scalable. - Source: dev.to / about 1 year ago
Check out Apache Superset: https://superset.apache.org/ Originally from Airbnb. Very powerful and flexible OS frontend BI tool. - Source: Hacker News / about 1 year ago
Depending on what they need to do, software like https://www.dataiku.com/ (if you want ml) or https://superset.apache.org/ (if you want exploratory datavisualisations) can work for you. Source: about 1 year ago
I use it to develop software that is used by thousands of people and hundreds of companies. Source: over 1 year ago
In addition to metabase there are redash[0] and apache superset[1]. They are more or less similar to metabase with some different quirks. You can also visualize quite a bit of data in grafana[2] as well. [0] https://redash.io/ [1] https://superset.apache.org/ [2] https://github.com/grafana/grafana. - Source: Hacker News / over 1 year ago
An open-source alternative is Apache Superset. If you don't want to run it you can sign up for a free instance at Preset. Source: over 1 year ago
Unless there is something specific you need from tableau, can you start off with something like Superset? https://superset.apache.org/. Source: over 1 year ago
Many data workers are complaining about the fierce competition in the data area. Fortunately, the situation seems to be improving. Data analysts had to manually analyze distribution charts for deep insights, but now they can use smart machine learning models to automate this process. Traditional data analysis and modeling skills have been gradually becoming easy. For instance, Power BI or Tableau allow users to... - Source: dev.to / over 1 year ago
(there were still some Flask Application Builder Admin Views last time I checked) But Superset is frontend and backend (sqlalchemy, pandas),so integration would be different. https://superset.apache.org/. - Source: Hacker News / over 1 year ago
Something like this superset would do https://superset.apache.org/. Source: over 1 year ago
Exactly! Use spark only prepare data for dashboards. Then you can use any visualisation tool like https://superset.apache.org/ which is free. Source: almost 2 years ago
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