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Dev tools · June 23, 2020

DeepDiff 5 is Here: Delta, Deep Distance of any Python objects and more

Delta, Deep Distance, Numpy Support, granular results when ignoring the order and many optimizations are introduced! The Delta objects are like git commits but for structured data. Deep Distance is the distance between 2 objects. It is inspired by Levenshtein Distance

DeepDiff 5 is Here: Delta, Deep Distance of any Python objects and more launched on June 23, 2020 with 21 votes, #924 of 4,317 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.

Visit zepworks.com ↗Alternativestop 21% of June 2020

In plain words

DeepDiff is a Python development tool for comparing objects and data structures. It identifies differences between Python objects, calculates deep distance measurements, and generates deltas showing what changed. The tool is designed for developers who need to analyze or track modifications in complex data. It handles various Python object types and provides detailed comparison results for debugging and testing purposes.

written from the facts on this page · September 2026

From the sources

DeepDiff Delta is a directed delta that when applied to t1 can yield t2 where delta is the difference between t1 and t2. The Delta objects are like git commits but for structured data. You can convert the diff results into Delta objects, store the deltas, and later apply to other objects. >>> from deepdiff import DeepDiff , Delta >>> import numpy as np >>> t1 = np . array ([ 1 , 2 , 3 , 5 ]) >>> t2 = np . array ([ 2 , 2 , 7 , 5 ]) >>> diff = DeepDiff ( t1 , t2 ) >>> delta = Delta ( diff ) >>> delta + t1 array ([ 2 , 2 , 7 , 5 ]) >>> delta + t2 == t2 array ([ True , True , True , True ]) There is way more to Delta from serialization for storing Delta to other details. Deep Distance is the…from zepworks.com

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