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onix is a Rust rewrite of Python DeepDiff's core: byte-compatible output, 37-4588x faster, with ignore_order support included. Install it as deepdiff-rs, a drop-in DeepDiff class for Python, or run the diff engine as the onix command-line tool.

deepdiff-rs reads live Python objects (or JSON) and produces the exact same report DeepDiff does at verbose_level=2, so it slots into code that already parses DeepDiff output while running dramatically faster on large or deeply nested inputs.

Status (September 2026): deepdiff-rs 0.x is live on PyPI (Python 3.9+, wheels for Linux x86_64/aarch64, macOS arm64/x86_64, and Windows x64, plus an sdist); the onix CLI builds from source, and nothing is on crates.io yet. Ordered and ignore_order diffing are complete, differentially tested against real DeepDiff 9.1.0, and benchmarked. It is 0.x, not stable or 1.0: the API may still change before 1.0.

Table of contents

Install

Python (the deepdiff-rs package, import name deepdiff_rs):

pip install deepdiff-rs

From source:

cd crates/onix-py
uv tool install maturin              # the build tool (skip if already installed)
uv sync --group test                 # creates .venv, installs pytest + pinned deepdiff
uv run --group test maturin develop --release

CLI (the onix binary), from a clean clone:

cargo install --path crates/onix-cli

Library crate (onix-core), a path dependency only (it sets publish = false):

[dependencies]
onix-core = { path = "crates/onix-core" }

Quickstart

The drop-in DeepDiff class, on live Python objects:

from deepdiff_rs import DeepDiff

diff = DeepDiff({"a": 1}, {"a": 2})
if diff:
    print(diff.to_json())   # byte-compatible with DeepDiff(...).to_json() at verbose_level=2
    print(diff.to_dict())   # the same report as a native Python dict
{"values_changed":{"root['a']":{"new_value":2,"old_value":1}}}
{'values_changed': {"root['a']": {'new_value': 2, 'old_value': 1}}}

diff_json, the fast path when you already have JSON text (it parses, diffs, and serializes entirely in Rust, with no Python-object conversion):

from deepdiff_rs import diff_json

print(diff_json('{"a": 1}', '{"a": 2}'))
{"values_changed":{"root['a']":{"new_value":2,"old_value":1}}}

The onix CLI, diffing two JSON files (compact JSON to stdout, {} for no differences):

$ echo '{"a": 1}' > left.json
$ echo '{"a": 2}' > right.json
$ onix diff left.json right.json
{"values_changed":{"root['a']":{"new_value":2,"old_value":1}}}

Pass --ignore-order to compare every list by value instead of by position, mirroring DeepDiff(..., ignore_order=True).

Known limitations

  • Only the core diff is implemented: exclude_paths, significant_digits, custom operators, verbose_level != 2, and delta/patch are not (yet) supported.
  • Supported value types are None, bool, int, float, str, dict (with str keys), list, tuple, set, frozenset, datetime.datetime, and datetime.date; a set/frozenset member may be any of these except a list, dict or set, matching Python's own hashability rule, transitively through whatever the member nests. ints must fit in i64/u64, floats must be finite, and anything else — time, timedelta, a non-str dict key, a custom object, an arbitrary-precision int, or a non-finite float — raises TypeError/ValueError naming the exact path it was found at. The Datetimes and Sets bullets below cover the deliberate divergences for those two types. See crates/onix-py/src/convert.rs and tests/golden/README.md.
  • A subclass of a supported type (a tuple, set or frozenset subclass including namedtuple, a datetime/date subclass such as pandas' Timestamp) raises TypeError rather than being diffed as its base type, because DeepDiff reports each value's own type name. A type_changes entry's old_type/new_type are type names in to_dict(), where DeepDiff returns the type objects. Both are described in tests/golden/README.md.
  • Datetimes compare by instant, with a naive value read as UTC, matching DeepDiff. A changed pair is reported normalized to UTC (to_json() renders ...+00:00, to_dict() returns UTC-aware datetimes); everywhere else a datetime keeps its raw value. Three deliberate departures: to_json() renders a date as YYYY-MM-DD where DeepDiff's own to_json() raises TypeError (a documented superset); a zoneinfo/pytz tzinfo comes back from to_dict() as a fixed-offset datetime.timezone carrying the offset it was in force at, not the original zone object; and a set holding both a naive and an aware value at one instant reports both as members, where DeepDiff's own digest cache can report only one (see crates/onix-py/src/convert.rs). Comparing two datetimes whose UTC form would leave year 1..=9999 raises ValueError naming the path, where DeepDiff raises OverflowError; under ignore_order DeepDiff's hasher normalizes every datetime and so raises for such a value even when it is only added, removed, or shuffled, where onix hashes by instant and reports it normally (see tests/golden/README.md). truncate_datetime, time and timedelta are not supported. The normalized-versus-raw split is documented in tests/golden/README.md.
  • Sets are diffed deterministically, where DeepDiff's own answers depend on the order the running process happens to iterate a set in (hash order, and PYTHONHASHSEED-dependent for str members) or on how its digest cache/computation handles a tuple, frozenset, or calendar member independently of Python's own ==. Each consequence — entry order, which member of an equality class is reported, set-versus-sequence coercion, and a tuple/frozenset member's own (positional, not order-/repetition-insensitive) matching rule — is shown with both tools' output in tests/golden/README.md's "Set iteration order" section. A report holding a frozenset value also serializes to JSON here, where DeepDiff's own to_json() raises TypeError — a superset, not a difference in the findings.
  • A str containing a lone (unpaired) surrogate code point (e.g. '\udc80', legal in Python but not encodable as UTF-8) raises ValueError naming the exact path on either side, before the two values are ever compared — including a pair DeepDiff would call equal and report as no change, since DeepDiff's scalar equality is plain Python == and never hits the encoding problem; DeepDiff does report a plain change for a differing pair, and crashes with an unhandled UnicodeEncodeError if such a string is ever hashed (a set/frozenset member). See tests/golden/README.md's "Known DeepDiff quirks" section.
  • A str inside a tuple or frozenset set item is rendered with Python's repr(), which escapes every non-printable character; onix escapes those below U+0100 (the complete set in that range) and passes higher non-printable code points through literally, since escaping them would mean carrying a Unicode category table. Exact for all of ASCII and all printable text. See crates/onix-core/src/path.rs.
  • Adversarially deep input raises MaxDepthError instead of crashing: the default max_depth is 512 and the hard ceiling is MAX_DEPTH_CEILING (20,000). See crates/onix-py/src/guard.rs.
  • ignore_order pairing is O(N^2) in unpaired elements per side and carries a polynomial cost in both time and memory with input depth; it has no max_passes/max_diffs cutoff, so bound the size and depth of untrusted input yourself. See crates/onix-core/src/ignore_order/mod.rs.
  • Output is byte-identical to DeepDiff except for the cases listed above and two path-rendering quirks; tests/golden/README.md enumerates every accepted exception, including integers past 2^53 (the limit of exact f64 representation) inside ordered scalar lists and ignore_order pairing among naive datetimes, which DeepDiff ranks using the process's local timezone while onix reads a naive value as UTC everywhere.

Performance

Two committed, regenerable reports back the numbers below; every figure here is copied verbatim from them.

The Python bindings against real deepdiff on live Python objects, the number a real caller pays (source: crates/onix-py/benchmarks/bench_bindings.py, macOS 26.5.1, Apple M5 Max, median of 11 isolated subprocess runs per side, run on 2026-09-04):

Shape deepdiff deepdiff_rs Speedup
ignore_order, 10k shuffled ints, ~5% mutated (live objects) 3164.29ms 89.08ms 35.52x
  peak RSS 228.4 MB 141.5 MB 1.61x
  CPU seconds 3.162 s 0.089 s 35.50x
Heterogeneous API-payload records, n=20,000 (live objects) 3451.01ms 151.84ms 22.73x
  peak RSS 118.1 MB 147.7 MB 0.80x
  CPU seconds 3.449 s 0.152 s 22.73x
Typed records (datetime/tuple/set fields), n=10,000 (live objects) 792.96ms 47.87ms 16.57x
  peak RSS 60.2 MB 62.1 MB 0.97x
  CPU seconds 0.792 s 0.048 s 16.56x
Same typed-records shape, ignore_order (live objects) 60483.86ms 1272.04ms 47.55x
  peak RSS 112.1 MB 1005.6 MB 0.11x
  CPU seconds 60.452 s 1.271 s 47.55x
Same ignore_order shape, via diff_json (JSON-string path) 3168.05ms 86.95ms 36.44x
  peak RSS 228.7 MB 142.3 MB 1.61x
  CPU seconds 3.166 s 0.087 s 36.46x
Same API-payload shape, via diff_json (JSON-string path) 4568.00ms 85.37ms 53.51x
  peak RSS 139.5 MB 140.9 MB 0.99x
  CPU seconds 4.566 s 0.085 s 53.50x
Same API-payload shape, both tools reading two JSON files from disk 4565.46ms 89.43ms 51.05x
  peak RSS 139.5 MB 141.0 MB 0.99x
  CPU seconds 4.564 s 0.089 s 51.03x

The engine's own diff-only time and peak resident memory against pinned deepdiff 9.1.0 (source: perf/RESULTS.md, same machine, median over tier-appropriate runs, diff time excluding process startup and JSON parsing on both sides):

Fixture onix diff-only (median, min-max) deepdiff diff-only (median, min-max) Speedup onix peak RSS deepdiff peak RSS Memory ratio ≥5x threshold
flat_dict_10k 3.093 ms (3.020 ms-3.153 ms) 143.691 ms (140.322 ms-145.891 ms) 46.46x 5.72 MB 39.46 MB 6.90x
flat_dict_100k 38.354 ms (37.963 ms-38.916 ms) 1.596 s (1.584 s-1.686 s) 41.60x 40.53 MB 110.95 MB 2.74x
flat_dict_1m 450.356 ms (449.689 ms-467.911 ms) 16.936 s (16.889 s-17.154 s) 37.60x 478.10 MB 753.75 MB 1.58x
flat_list_100k 81.787 ms (78.266 ms-89.593 ms) 4.798 s (4.746 s-4.828 s) 58.67x 38.16 MB 155.11 MB 4.06x
nested_uniform_d6_b10 208.770 ms (208.269 ms-209.842 ms) 71.500 s (71.498 s-72.875 s) 342.48x 224.58 MB 908.33 MB 4.04x
api_payloads 160.667 ms (153.309 ms-171.032 ms) 94.138 s (93.625 s-94.669 s) 585.92x 269.39 MB 544.98 MB 2.02x
deep_narrow_d120 0.027 ms (0.026 ms-0.028 ms) 123.792 ms (123.234 ms-124.809 ms) 4588.45x 2.18 MB 41.08 MB 18.85x
startup_trivial 0.001 ms (0.001 ms-0.001 ms) 0.181 ms (0.174 ms-0.207 ms) 177.24x 2.18 MB 32.69 MB 15.00x
ignore_order_10k 80.965 ms (80.117 ms-83.510 ms) 13.010 s (12.900 s-13.023 s) 160.68x 108.82 MB 345.41 MB 3.17x
identical_1m 6.996 ms (6.114 ms-7.731 ms) 15.853 s (15.773 s-16.021 s) 2266.18x 315.39 MB 503.28 MB 1.60x

Both reports carry their full methodology, fairness rules, and the reproduce command. perf/RESULTS.md is an upper bound (JSON parsed straight into the engine, no Python-object conversion); the bindings table is the product-surface number. Regenerate them with perf/run_bench.sh and crates/onix-py/benchmarks/bench_bindings.py (see CONTRIBUTING.md).

Reference

Python API. The public surface is DeepDiff, diff_json, MaxDepthError, and MAX_DEPTH_CEILING.

  • DeepDiff(t1, t2, ignore_order=False, max_depth=None): diffs two live Python objects of supported value types — None, bool, int, float, str, dict (with str keys), list, tuple, set, frozenset, datetime.datetime, and datetime.date (see Known limitations for the exact restrictions and exclusions); .to_json() returns the DeepDiff-compatible JSON string, .to_dict() the same report as a dict — with Python types preserved, so a value the diff found in a tuple, set or frozenset comes back as one and a datetime/date comes back as a real datetime/date — and the instance is falsy when there is no difference. The set_item_added/set_item_removed categories are lists of path strings, each ending in the item itself (root['a'][2], root['x'], root[(1, 2)]).
  • diff_json(a, b, ignore_order=False, max_depth=None) -> str: diffs two JSON strings entirely in Rust and returns the report as a JSON string.
  • MaxDepthError (a ValueError subclass) is raised when input exceeds max_depth; MAX_DEPTH_CEILING (20,000) is the hard upper bound on max_depth.

CLI. onix diff <a.json> <b.json> [--max-depth N] [--ignore-order] [--timing] reads both files as JSON and prints a compact, single-line DeepDiff-compatible report to stdout ({} when there is no difference).

  • --max-depth N overrides the recursion-depth bound (default: the ONIX_MAX_DEPTH environment variable if set, else 512).
  • --ignore-order compares every list by hash-based matching instead of by position, mirroring DeepDiff(..., ignore_order=True).
  • --timing prints one line of JSON ({"parse_ns": N, "diff_ns": N}) to stderr.

Exit codes:

Code Meaning
0 Diff computed successfully (whether or not the report is empty; differences are carried in the stdout JSON, not the exit code).
1 Usage error (missing/unknown subcommand, wrong argument count, unknown flag, non-numeric --max-depth); details and a usage line go to stderr.
2 I/O error (e.g. a missing input file) or a JSON-parse error on either input.
3 max_depth exceeded; the path that tripped the bound goes to stderr.

Layout

crates/onix-core   # the diff engine (library, no I/O)
crates/onix-cli    # the `onix` binary (thin CLI over the core)
crates/onix-py     # PyO3 bindings, published as `deepdiff-rs`
scripts/           # gen_goldens.py: regenerates tests/golden/ from real DeepDiff
tests/golden       # DeepDiff-generated expected outputs (the compatibility corpus)
perf/              # cross-language benchmark harness and RESULTS.md

Contributing

Issues and pull requests are welcome. Open an issue to report a bug, a DeepDiff divergence (include both inputs and the report each engine produces), or a question. Building from source, the quality gates, the golden corpus, benchmarking, mutation testing, and publishing are all in CONTRIBUTING.md.

License

MIT: see LICENSE.

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