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Observ is a Python port of Vue.js' computed properties and watchers. It is event loop/framework agnostic and has only one pure-python dependency (patchdiff) so it can be used in any project targeting Python >= 3.9.
Observ provides the following two benefits for stateful applications:
from observ import reactive, computed, watch
state = reactive(state)
Observe nested structures of dicts, lists, tuples and sets. Returns an observable proxy that wraps the state input object.
watcher = watch(func, callback, deep=False, immediate=False)
React to changes in the state accessed in func
with callback(old_value, new_value)
. Returns a watcher object. del
elete it to disable the callback.
wrapped_func = computed(func)
Define computed state based on observable state with func
and recompute lazily. Returns a wrapped copy of the function which only recomputes the output if any of the state it depends on becomes dirty. Can be used as a function decorator.
Note: The API has evolved and become more powerful since the original creation of this README. Track issue #10 to follow updates to observ's documentation.
Install observ with pip/pipenv/poetry/uv:
pip install observ
Check out examples/observe_qt.py
for a simple example using observ.
Check out examples/store_with_undo_redo.py
for a simple example using the included undo/redo-capable Store abstraction.
Observ keeps references to the object passed to the reactive
in order to keep track of dependencies and proxies for that object. When the object that is passed into reactive
is not managed by other code, then observ should cleanup its references automatically when the proxy is destroyed. However, if there is another reference to the original object, then observ will only release its own reference when the garbage collector is run and all other references to the object are gone. For this reason, the best practise is to keep no references to the raw data, and instead work with the reactive proxies only.
FAQs
Reactive state management for Python
We found that observ demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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