DeepDiff 6.3.0 documentation!


The DeepDiff library includes the following modules:

  • DeepDiff For Deep Difference of 2 objects. DeepDiff

    It return the deep Difference of python objects. It can also be used to take the distance between objects. Deep Distance

  • DeepSearch Search for objects within other objects. DeepSearch

  • DeepHash Hash any object based on their content even if they are not “hashable” in Python’s eyes. DeepHash

  • Delta Delta of objects that can be applied to other objects. Imagine git commits but for structured data. Delta

  • Extract For extracting a path from an object Extract

  • Commandline Most of the above functionality is also available via the commandline module Command Line

What is New

DeepDiff 6-3-0

DeepDiff 6-2-0

  • Major improvement in the diff report for lists when items are all hashable and the order of items is important.


Tutorials can be found on Zepworks blog


Install from PyPi:

pip install deepdiff

If you want to use DeepDiff from commandline:

pip install "deepdiff[cli]"

If you want to improve the performance of DeepDiff with certain processes such as json serialization:

pip install "deepdiff[optimize]"

Read about DeepDiff optimizations at Optimizations

>>> from deepdiff import DeepDiff  # For Deep Difference of 2 objects
>>> from deepdiff import grep, DeepSearch  # For finding if item exists in an object
>>> from deepdiff import DeepHash  # For hashing objects based on their contents
>>> from deepdiff import Delta  # For creating delta of objects that can be applied later to other objects.
>>> from deepdiff import extract  # For extracting a path from an object


if you want to use DeepDiff via commandline, make sure to run:: pip install “deepdiff[cli]”

Then you can access the commands via:

  • DeepDiff

$ deep diff --help
  • Delta

$ deep patch --help
  • grep

$ deep grep --help
  • extract

$ deep extract --help

int, string, unicode, dictionary, list, tuple, set, frozenset, OrderedDict, NamedTuple, Numpy, custom objects and more!


Indices and tables