Evidence.dev Reviews and Details

Social recommendations and mentions

• Evidence Has a Free BI Tool as Code — Here's How to Use It

  Evidence is a business intelligence tool that generates polished reports from SQL queries and Markdown. Write SQL, add charts, deploy as a static site. - Source: dev.to / 4 months ago

• Data viz library built with Apache ECharts, Leaflet, and shadcn

  It would be better to link to the main page, https://evidence.dev/, which is titled "Evidence - Business intelligence as code". - Source: Hacker News / over 1 year ago

• 7 Databases in 7 Weeks for 2025

  DuckDB is really having a moment The ecosystem is very active, and they have recently opened up "community extensions" to bring your own functions, data types and connections. A barrier at the moment is that extensions are written in C++, though this limitation should be removed soon. I've been building a lot on top of DuckDB, two of the projects I'm working on are linked in the article: - Evidence... - Source: Hacker News / over 1 year ago

• Show HN: Tenno – Markdown and JavaScript = an Hybrid of Word and Excel

  Reminds me of https://evidence.dev/. - Source: Hacker News / almost 2 years ago

• D3 in Depth

  Https://opensource.com/article/20/4/plot-data-python gives some common options. What kind of plots are you trying to achieve? Interactive? Jupyter notebooks? Reporting? SVG or HTML output? You might also like to look at things like https://evidence.dev. - Source: Hacker News / about 2 years ago

• Show HN: Open-source BI and analytics for engineers

  I'll ask another of the "how is this different" questions - how is this different from https://evidence.dev/ ? Quary seems a little like dbt + Evidence from what I can see. - Source: Hacker News / about 2 years ago

• Ask HN: What's the best charting library for customer-facing dashboards?

  We use echarts at https://evidence.dev and have been quite happy with it. We do a lot of embedded analytics and it's worked well for us. - Source: Hacker News / over 2 years ago

• SQLPage – Building a full web application with nothing but SQL queries [video]

  It’s interesting to me how far you have pushed the SQL language in this framework, such that it truly is “SQL only”. The challenge as I see it with enabling analysts to build websites is that you need to build abstractions to get from familiar (SQL, yaml) - the language of analytics, to new (HTML, CSS, JS) - the language of the web browser As one of the maintainers of Evidence ( - Source: Hacker News / over 2 years ago

• Blazer: Business Intelligence Made Simple

  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 / over 2 years ago

• Is Tableau Dead?

  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 / over 2 years ago

• Apache Superset

  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 / over 2 years ago

• Apache Superset

  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 / over 2 years ago

• A love letter to Apache Echarts

  We used ECharts to build our charting library at Evidence and it’s been a great experience overall (https://evidence.dev. - Source: Hacker News / over 2 years ago

• Observable 2.0, a static site generator for data apps

  The new direction seems very similar to what evidence has been doing for a while https://evidence.dev. - Source: Hacker News / over 2 years ago

• Ask HN: Lessons learned from implementing user-facing analytics / dashboards?

  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 / almost 3 years ago

• Paid user testing

  Looking for testers for our open source data tool (evidence.dev). Source: about 3 years ago

• What would your dream Business Intelligence tool look like?

  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: about 3 years ago

• Ask HN: Open-Source Self-Hosted No-Code Platforms?

  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 / about 3 years ago

• Low hanging fruit projects for business with non-mature data science/analytics?

  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: over 3 years ago