BatchLoader
:zap: Powerful tool for avoiding N+1 DB or HTTP queries (by exAspArk)
Blazer
Business intelligence made simple (by ankane)
Our great sponsors
| BatchLoader | Blazer | |
|---|---|---|
| 1 | 12 | |
| 924 | 3,335 | |
| - | - | |
| 0.0 | 8.9 | |
| 6 days ago | 13 days ago | |
| Ruby | Ruby | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
BatchLoader
Posts with mentions or reviews of BatchLoader.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-22.
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N+1 problem will never be an issue with N1Loader gem
Interesting, I've just been researching Dataloader implementations for Ruby and have between trying to decide between GraphQL::Dataloader, graphql-batch and BatchLoader. I'll give this a look as well. Can you also make API calls inside the loaders?
Blazer
Posts with mentions or reviews of Blazer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-23.
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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
- 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.
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Keeping the Stakes Low while Breaking Production
We then pasted that into Blazer and started looking at the SQL. As we moved around the massive SQL statement, we saw the culprit. A very narrow range for allowed article’s publication dates.
What are some alternatives?
When comparing BatchLoader and Blazer you can also consider the following projects:
Rails DB - Rails Database Viewer and SQL Query Runner
PgHero - A performance dashboard for Postgres
SecondBase - Seamless second database integration for Rails.
Redis Dashboard - Sinatra app to monitor Redis servers.
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.
Ahoy - Simple, powerful, first-party analytics for Rails
Large Hadron Migrator - Online MySQL schema migrations
ActiveRecord::DataIntegrity - Check data integrity for your ActiveRecord models