notebook | Blazer | |
---|---|---|
2 | 17 | |
4 | 4,379 | |
- | - | |
3.0 | 7.2 | |
about 1 year ago | about 1 month ago | |
TypeScript | Ruby | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
notebook
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Evidence – Business Intelligence as Code
How about something like [`input`](magic-link)? I came up with this for https://codeberg.org/macchiato ( though it's not yet implemented in the new project, just in the predecessor, https://github.com/ResourcesCo/notebook ). The backquotes differentiate from non-magic links. (I tried badges, but they aligned weirdly.)
You could use [`data.mrr`](https://evidence.dev/md/value) or any other internal DSL you can come up with.
Another thing you could do is just decide against MDX the format and keep the style and transform inline codeblocks that match.
That you said Markdown to me says you aren't on board with using an incompatible syntax.
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Markdown, Asciidoc, or reStructuredText – a tale of docs-as-code
Markdown can literally be code. RMarkdown is this. Before I learned of RMarkdown I had written something to extract code blocks with filenames that are visible in the rendered page (since hiding it at the end of the first triple backquote codefence isn't great for visibility). I'm currently working on a notebook tool. https://github.com/ResourcesCo/macchiato/blob/main/scripts/m... https://github.com/ResourcesCo/notebook
Blazer
- Blazer: Business Intelligence Made Simple
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Is Tableau Dead?
I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer.
https://github.com/ankane/blazer
No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures.
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BI vs custom queries in app
As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved.
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Evidence – Business Intelligence as Code
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.
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Italian watchdog bans use of Google Analytics
I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer
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My project: railstart app
blazer
- dashboard framework
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Using Scientist to Refactor Critical Ruby on Rails Code
The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original.
- A Ruby-Powered Business Intelligence Tool
- Out of the Box CRUD Management Framework
What are some alternatives?
eleventy-plugin-asciidoc - Eleventy plugin to add support for AsciiDoc.
Rails DB - Rails Database Viewer and SQL Query Runner
jupysql - Better SQL in Jupyter. 📊
PgHero - A performance dashboard for Postgres
examples - TensorFlow examples
Redis Dashboard - Sinatra app to monitor Redis servers.
iommi - Your first pick for a django power cord
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora
SecondBase - Seamless second database integration for Rails.
djot - A light markup language
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.