AOaorth·Jul 30, 2026
I've never heard of that Superset. I've used the Apache business analytics one though: https://github.com/apache/superset. Unfortunate name collision...
In Superlogicalapache
superset
Python2016–2026
apache / superset
superset
Apache Superset is a Data Visualization and Data Exploration Platform
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43Mentions
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What it is
Apache Superset is a Data Visualization and Data Exploration Platform
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year43 dated mentions
Observed mentions: 2016-03-31 18:27:37 UTC to 2026-07-30 03:57:58 UTC.
* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 9 | 4 | 5 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 12 | 3 | 9 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 4 | 0 | 4 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 7 | 6 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 2 | 1 | 1 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 5 | 0 | 5 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 2 | 0 | 2 |
What Hacker News says
43 sourcesWe live in this era when folks can vibecode entire startups without ever making a simple Google Search.
https://github.com/apache/superset
In Launch HN: Superset (YC P26) – IDE for the agents eraApache Superset 6.0 (Dashboards, Reports)
2 points · Open discussionReposting from a comment of mine about 60 days ago:
I recently ran a little shootout between Superset, Metabase, and Lightdash — all open source with hosted options. All have nontrivial weaknesses but I ended up picking Lightdash.
Superset is the best of them at data visualization but I honestly found it almost useless for self-serve BI by business users if you have existing star schema. 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 f
Read the rest
rontend, 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.
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
In Apache SupersetMaybe you can't say who, but I'm sure curious. Add yourself to this page if you can: https://github.com/apache/superset/blob/master/RESOURCES/INT...
In Apache SupersetHad 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
https://preset.io/blog/
Superset source code is ver
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y 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.
Our main approach to visualisation is to start with eChart and simple Reactjs wrapping and spin off Superset on subdomain for power users, and later see which one works better. Same look gives a very pleasant experience.
I recently ran a little shootout between Superset, Metabase, and Lightdash — all open source with hosted options. 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 if you have existing star schema. 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 inspir
Read the rest
ation 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.
Or like not being able to delete a user without running some SQL:
https://github.com/apache/superset/issues/13345
Almost instantly run into this issue setting up a test instance of Superset. And the issue has been around for years.
In Yandex open sourced it's BI tool DataLensApache Superset Is a Data Visualization and Data Exploration Platform
2 points · Open discussionProposal for Embeddable Dashboards in Apache Superset
1 points · Open discussionBetter off changing the link to https://github.com/apache/superset so that people actually know what it is
In Apache Superset 1.1Apache Superset – A Data Visualization and Data Exploration Platform
3 points · Open discussionApache Superset Is a Data Visualization and Data Exploration Platform
2 points · Open discussionShowing the 15 most recent of 43 sources. Enable JavaScript to search and browse every indexed mention.