pg_background VS pg_cron

Compare pg_background vs pg_cron and see what are their differences.

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pg_background pg_cron
2 20
130 2,545
- 3.9%
5.1 6.1
6 months ago 5 days ago
C C
GNU General Public License v3.0 only PostgreSQL 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.

pg_background

Posts with mentions or reviews of pg_background. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-18.

pg_cron

Posts with mentions or reviews of pg_cron. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-09.

What are some alternatives?

When comparing pg_background and pg_cron you can also consider the following projects:

pg_timetable - pg_timetable: Advanced scheduling for PostgreSQL

postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

pg_dbms_job

Spring Boot - Spring Boot

docker-pg-cron - Dockerfile with extension pg_cron

Express - Fast, unopinionated, minimalist web framework for node.

TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.

redroid-doc - redroid (Remote-Android) is a multi-arch, GPU enabled, Android in Cloud solution. Track issues / docs here

Visual Studio Code - Visual Studio Code

machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more