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Website | evidence.dev |
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Website | superset.apache.org |
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Based on our record, Apache Superset should be more popular than Evidence.dev. It has been mentiond 51 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dataclips was my first experiences writing SQL. Writing code was a markedly better DX that building dashboards in Tableau, which is why I'm now working on https://evidence.dev - a SSG for creating data from SQL and markdown Previous HN discussions:. - Source: Hacker News / about 21 hours ago
I'm one of the founders of Evidence (https://evidence.dev) - would be great to hear about your experience. Reaching out now! - Source: Hacker News / 1 day ago
Full fledged BI tools like Superset and Metabase are amazing for their intended use cases. But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. So if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be... - Source: Hacker News / 2 days ago
We use ECharts in our open source BI tool (Evidence) and it's a great library. Has helped us build a declarative syntax for viz which can be version controlled (https://evidence.dev). - Source: Hacker News / 2 days ago
We used ECharts to build our charting library at Evidence and it’s been a great experience overall (https://evidence.dev. - Source: Hacker News / 14 days ago
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
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