What does HackerNews think of evidence?

I'm working on an OSS BI tool focused on a document form factor. Might be of interest to you. https://github.com/evidence-dev/evidence

> This is because Power BI tracks usage metrics and almost all dashboards are completely unused.

This is what I term the “dirty secret of BI” - for most organisations, most dashboards are unused, except by the teams creating them.

This is because reports need to be useful to be used, and most are not. In my opinion useful means one of:

1) Aiding people with actual decision making power to make decisions

2) Improving the ability of “front line” staff to complete their day to day tasks better

PowerBI and similar tools are poorly suited to the above because 1) requires mgmt to understand the data they are looking at, which is difficult without context in a grid of charts, and 2) requires a thoughtfully designed, fast UX that is basically impossible to deliver in a dashboard.

I’m now working on an open source BI tool, Evidence.dev (https://github.com/evidence-dev/evidence) which is targeted at these two use cases. It enables you to add context to data inline, design the UX for the use case, and is just fast.

Previous discussions on HN:

https://news.ycombinator.com/item?id=35645464 (97 comments)

https://news.ycombinator.com/item?id=28304781 (91 comments)

Out of interest, what exactly do people use Grafana for? Is it always monitoring infrastructure/ systems or is it more general purpose than that? What is special about it?

I come previously ran an analytics team and I work on an open source BI tool (https://github.com/evidence-dev/evidence) but I have never actually used grafana or come across it when talking to other "business analytics" folks. Everyone in my world is just using tableau or looker or jupyter notebooks.

I helped build the analytics group at a PE fund, and this really fits with my experience.

Good decision support is where most of the value is, and it’s about building things that draw conclusions, not just throwing the data over the fence with 50 filters and expecting the end consumer to do the actual analysis.

I now work on an open source, code-based BI tool called Evidence, which incorporates a lot of these ideas, and might be of interest to people in this thread.

https://github.com/evidence-dev/evidence

Previous discussions on HN:

https://news.ycombinator.com/item?id=28304781 - 91 comments

https://news.ycombinator.com/item?id=35645464 - 97 comments

Superset and metabase are definitely the OSS leaders.

I work on an open source code-based BI tool called Evidence, which might be of interest to you.

It's effectively a static site generator aimed at building automated reports and analysis.

https://github.com/evidence-dev/evidence

Previous discussions on HN:

https://news.ycombinator.com/item?id=28304781 - 91 comments

https://news.ycombinator.com/item?id=35645464 - 97 comments

Yes, since the data pipeline is universal, there can be multiple options on the UI, such as https://github.com/evidence-dev/evidence, which can regularly build static reports using SQL and data from the database through GitHub Actions.