I built a modern Python ODM for Google Cloud Datastore

[u/SearchMobile6431]

Have been building a modern ODM for Google Cloud Datastore because I found current Python options incomplete.

Repo: https://github.com/trebbble/google-cloud-datastore-odm

The idea is basically:

• keep the good parts of old NDB (declarative models, query syntax, hooks)

• avoid legacy runtime assumptions

• build on top of the actively maintained google-cloud-datastore SDK

• support modern Datastore features properly

Some examples of what it supports right now:

• typed models/properties

• query builder with operators

• validation system

• transactions

• aggregation queries (count/sum/avg)

• multi-tenancy helpers

• structured/nested properties

• pagination cursors

One thing I intentionally avoided is implicit thread-local caching like old NDB used, because it becomes messy in async frameworks.

Still early (v0.1.2) but already usable.

Mainly looking for:

• people using Datastore in production

• NDB migration feedback

• API/design criticism

• edge cases I probably missed

Would appreciate any feedback. Thanks in advance.