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
The new direction seems very similar to what evidence has been doing for a while https://evidence.dev. - Source: Hacker News / 13 days ago
I spent 5 years leading a data team which produced reports for hundreds of users. In our team’s experience, the most important factor in getting engagement from users is including the right context directly within the report - definitions, caveats, annotations, narrative. This pre-empts a lot of questions about the report, but more importantly builds trust in what the data is showing (vs having a user self-serve,... - Source: Hacker News / 5 months ago
Looking for testers for our open source data tool (evidence.dev). Source: 9 months ago
I actually quit my job to pursue this question exactly - I wanted to deliver publication-quality report outputs, and I wanted to be able to define everything in code so I could version control and test the reports. I also wanted it to be open source. That's why I'm part of the team building evidence.dev! Source: 10 months ago
The solution really depends on what sort of problems you are trying to solve and who your customers are. There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/ For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience).... - Source: Hacker News / 10 months ago
If this sounds like the situation at your company, I'd recommend taking a look at a free open source project called evidence.dev - it's a way to build data products that are easy for businesspeople to use. You can set up a drill-down structure using pages so people can click through to find the details they need about customers/suppliers/etc (example here). If you're using Python, you can drop your outputs into a... Source: 10 months ago
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