Polo
Blazer
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| Polo | Blazer | |
|---|---|---|
| 2 | 17 | |
| 766 | 4,351 | |
| 0.0% | - | |
| 0.0 | 7.4 | |
| 6 months ago | 23 days ago | |
| Ruby | 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.
Polo
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Greenmask: PostgreSQL Dump and Obfuscation Tool
This is a Rails tool I use: https://github.com/IFTTT/polo — it works well.
- Creating seed data from an existing DB
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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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.
- Oldie question - latest tools?
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How to let users run scripts on their data?
There is nothing wrong with it. In Ruby on Rails, for example, you can use a gem for such a case https://github.com/ankane/blazer
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Cookie-based tracking is dead
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries.
What are some alternatives?
Rails DB - Rails Database Viewer and SQL Query Runner
PgHero - A performance dashboard for Postgres
Redis Dashboard - Sinatra app to monitor Redis servers.
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
SecondBase - Seamless second database integration for Rails.
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.
Scenic - Versioned database views for Rails
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries
Squasher - Squasher - squash your old migrations in a single command
Ahoy - Simple, powerful, first-party analytics for Rails
Foreigner - Adds foreign key helpers to migrations and correctly dumps foreign keys to schema.rb