qlustered/deepdiff

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2524 stars · 276 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DeepDiff is a Python library for deep comparison, search, and hashing of arbitrary Python objects, including nested dictionaries and iterables. It also provides Delta objects that capture differences and can be applied to reconstruct or update other objects, plus a command-line interface.

Use cases

• compare two nested dictionaries or JSON structures in tests
• find where a value is located inside a deeply nested Python object
• hash unhashable Python objects based on their content
• store and apply diffs between data snapshots like git commits for structured data
• extract a value from a nested object by path
• track changes in API responses or configuration data
• calculate distance between Python objects

When to choose

• you need to diff deeply nested or arbitrarily typed Python objects
• you want content-based hashing for objects Python considers unhashable
• you need to serialize and replay changes between object states
• you are writing tests that assert deep equality with readable reports

When to avoid

• you only need simple flat equality checks built into Python
• you need to diff non-Python data formats like binary files or images
• you need a general-purpose version control system rather than object deltas

Facets

library · maturity active

serialization developer-tools testing data-science developer-tools data-science testing python cli cross-platform deep-diff deep-hash delta object-comparison nested-objects deep-search data-validation change-tracking automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="qlustered/deepdiff")