Blazer
DatabaseConsistency
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| Blazer | DatabaseConsistency | |
|---|---|---|
| 17 | 8 | |
| 4,367 | 978 | |
| - | - | |
| 7.4 | 7.5 | |
| about 1 month ago | 4 months 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.
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
DatabaseConsistency
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Uniqueness validation does not work since the beginning of Ruby on Rails.
DatabaseConsistency is a tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
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Many of us can face issues working with ActiveRecord due to its inconsistency with the database schema. That's why I have built database_consistency, which can help you avoid the most common issues and improve your application's performance.
Yes, the gem supports flexible configuration and slow start with TODO generation.
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Enhanced ActiveRecord preloading
Described issues may be found with DatabaseConsistency.
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N+1 problem will never be an issue with N1Loader gem
Don't know Database Consistency or Factory Trace which can help you to improve your code? Check them out too!
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Rails application boilerplate for fast MVP development
add database_consistency
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Any decent packages that enforce database constraints to match application validation?
When coding with ruby I used to use https://github.com/djezzzl/database_consistency
What are some alternatives?
Rails DB - Rails Database Viewer and SQL Query Runner
QueryTrack - Find time-consuming database queries for ActiveRecord-based Rails Apps
PgHero - A performance dashboard for Postgres
DatabaseValidations - Database validations for ActiveRecord
Redis Dashboard - Sinatra app to monitor Redis servers.
Scenic - Versioned database views for Rails
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries
SecondBase - Seamless second database integration for Rails.
Foreigner - Adds foreign key helpers to migrations and correctly dumps foreign keys to schema.rb
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.
Database Cleaner - Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.