Jugglingdb vs peewee: What are the differences?
Developers describe Jugglingdb as "Multi-database ORM: redis, mongodb, mysql, sqlite, postgres, neo4j, memory". JugglingDB(3) is cross-db ORM for nodejs, providing common interface to access most popular database formats. Currently supported are: mysql, sqlite3, postgres, couchdb, mongodb, redis, neo4j and js-memory-storage (yep, self-written engine for test-usage only). Jugglingdb also works on client-side (using WebService and Memory adapters), which allows to write rich client-side apps talking to server using JSON API. On the other hand, peewee is detailed as "A small, expressive ORM -- supports postgresql, mysql and sqlite". A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.
Jugglingdb and peewee belong to "Object Relational Mapper (ORM)" category of the tech stack.
Jugglingdb and peewee are both open source tools. It seems that peewee with 6.64K GitHub stars and 1.1K forks on GitHub has more adoption than Jugglingdb with 1.99K GitHub stars and 268 GitHub forks.
What is Jugglingdb?
What is peewee?
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Why do developers choose Jugglingdb?
What are the cons of using Jugglingdb?
What are the cons of using peewee?
What companies use Jugglingdb?
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What tools integrate with Jugglingdb?
model_to_dict is a function in the "playhouse" extension, which automagically converts a model into a Python dictionary. In other words; you can easily convert data from complex SQL queries straight to JSON.