evidence

> Not sure the language you choose matters as much as making the API usable by a wide audience. Fully agree with this, and having typeset my masters thesis and later my resume using LaTeX, I think that the “authoring experience” is definitely the place to focus on improving, LaTeX just takes too damn long to get something good. If you’re interested in the “markup to document publishing” space, you might also be interested in the open-source report publishing tool I’m now working on, Evidence.dev (https://github.com/evidence-dev/evidence). It’s similarly based on markdown, though uses code fences to execute code, HTML style tags for charts and components, and {…} for JavaScript, i.e. --- title: Lorem Ipsum description: dolor sit amet, consectetur adipiscing elit --- ```sql petal_vs_sepal SELECT petal_length,

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://gi

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.

If you are interested in this, you might be interested in the code-based BI tool I'm working on, Evidence (https://github.com/evidence-dev/evidence) The experience is a bit more: Start writing code -> GitHub copilot autocompletes -> Dashboard GIF of it in action: https://twitter.com/evidence_dev/status/1631477155229237248 Previous discussions on HN: https://news.ycombinator.com/item?id=28304781 - 91 comments https://news.ycombinator.com/item?id=35645464 - 97 comments

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

If you are interested in this, but would prefer to define reports with a markup language (and SQL), 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

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.

And it's Open Source: https://github.com/evidence-dev/evidence I'd also highly recommend Blazer https://github.com/ankane/blazer if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects.