DeepDiff is now part of Qluster.

If you're building workflows around data validation and correction, Qluster gives your team a structured way to manage rules, review failures, approve fixes, and reuse decisions—without building the entire system from scratch.

• DeepDiff: Deep Difference of dictionaries, iterables, strings, and ANY other object.
• DeepSearch: Search for objects within other objects.
• DeepHash: Hash any object based on their content.
• Delta: Store the difference of objects and apply them to other objects.
• Extract: Extract an item from a nested Python object using its path.
• commandline: Use DeepDiff from commandline.

Tested on Python 3.10+ and PyPy3.

• Documentation

Please check the ChangeLog file for the detailed information.

DeepDiff 9-1-0

• Added multiprocessing support for DeepDiff: parallel distance computation and parallel subtree diffing with aggregated worker stats, deterministic ordering, and automatic fallback to serial when unsafe (e.g. custom_operators, *_obj_callback, ignore_order_func)
• Added wildcard/glob pattern support for exclude_paths and include_paths thanks to @akshat62
• Reimplemented internal cache for improved performance
• Memoized GlobPathMatcher to remove exponential-time matching cliff
• Comprehensive type-hint corrections across deephash.py, helper.py, delta.py, diff.py, distance.py, path.py, and serialization.py (also fixed real bugs: misplaced paren in path._guess_type call, and len(other.indexes > 1) → len(other.indexes) > 1 in diff._compare_in_order)
• Security: Delta dunder-attribute traversal in check_elem() now raises immediately instead of going through _raise_or_log(), with full-path preflight validation in _get_elements_and_details() so the set_item_added path cannot silently skip malicious dunder paths
• Fixed nested NamedTuple set/frozenset Delta updates dropping the outer container
• Fixed tuple Deltas using iterable opcodes silently doing nothing for insert/delete-only changes
• Fixed Delta with both moved and added iterable items mutating the Delta's own internal diff data
• Fixed crash during path sorting when removing multiple dictionary items with complex keys
• Packaging: added missing files to sdist and removed obsolete MANIFEST.in thanks to @mgorny
• Updated GitHub Actions workflows and dependencies

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 functionalities such as improved json serialization:

pip install "deepdiff[optimize]"

Install optional packages:

• yaml
• tomli (python 3.10 and older) and tomli-w for writing
• clevercsv for more robust CSV parsing
• orjson for speed and memory optimized parsing
• pydantic

https://zepworks.com/deepdiff/current/

Please take a look at the CHANGELOG file.

📣 Please fill out our fast 10-question survey so that we can learn how & why you use DeepDiff, and what improvements we should make. Thank you! 👯

1. Clone the repo

2. Switch to the dev branch

3. Create your own branch

4. Install dependencies

   • Method 1: Use uv to install the dependencies: uv sync --all-extras.
   • Method 2: Use pip: pip install -e ".[cli,coverage,dev,docs,static,test]"

5. Build uv build

1. Please make your PR against the dev branch
2. Please make sure that your PR has tests. Since DeepDiff is used in many sensitive data driven projects, we strive to maintain around 100% test coverage on the code.

Please run pytest --cov=deepdiff --runslow to see the coverage report. Note that the --runslow flag will run some slow tests too. In most cases you only want to run the fast tests which so you won't add the --runslow flag.

Or to see a more user friendly version, please run: pytest --cov=deepdiff --cov-report term-missing --runslow.

Thank you!

Please take a look at the AUTHORS file.