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.
dot_files
Posts with mentions or reviews of dot_files.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-21.
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Mongodb aggregation pipeline with examples
I am assuming you have MongoDB installed on your system or you are using Mongo Atlas. You can my use my docker file for quick setup. I am using MongoDB Compass to write aggregation pipelines. Compass is graphical tool from MongoDB. You are free to use whatever you like. Compass has some very nice features like exporting pipeline to your preferred programming language, import pipeline, saving pipeline for later usage.
blog_data
Posts with mentions or reviews of blog_data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-21.
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Mongodb aggregation pipeline with examples
Before we start writing writing aggregation pipelines, I want to show you fields inside different collections. I have 2 collections in my fairbnb database. You can get database data from here.