fastsimdjson

A Python binding for simdjson that parses JSON into native Python objects (dict, list, str, int, float, bool, None). It is intended as a faster drop-in for orjson.loads / json.loads.

import fastsimdjson
fastsimdjson.loads(b'{"a": [1, 2.5, "x", true, null]}')

loads accepts bytes, bytearray, memoryview and str. Invalid input raises fastsimdjson.JSONDecodeError, a subclass of json.JSONDecodeError. When simdjson rejects a document, the same input is parsed with json.loads. If that succeeds, loads returns its value. If it raises JSONDecodeError, the exception is re-raised with Python's message and byte position. Any other exception from json.loads propagates. release() frees the simdjson parser and the string caches kept by the calling thread.

How it works

1. simdjson's DOM parser (with runtime CPU dispatch: AVX-512, AVX2, SSE4.2, ...) validates the document and builds its tape. Each thread keeps its own parser and reuses it across calls; release() deletes that parser and drops the thread's cached strings. The document is parsed in place. When the 64 bytes simdjson would read past the end cross a page boundary, the unpadded DOM parser is used instead of copying the buffer.
2. A tape walker creates the Python objects directly:
   • lists are allocated at their final size (simdjson records element counts); scalars are handled inline in the array/object loops;
   • dicts are presized and filled with _PyDict_SetItem_KnownHash;
   • object keys go through a direct-mapped cache (ASCII keys of up to 64 bytes), so repeated keys reuse one str object whose hash is already computed. Short ASCII string values (up to 16 bytes) have their own cache. Both caches belong to the calling thread;
   • strings are built with PyUnicode_New plus a copy. Non-ASCII UTF-8, which simdjson has already validated, is transcoded without revalidation: scalar code for short strings, simdutf for long ones;
   • on builds that use the GIL, the cyclic GC is paused while objects are built.
3. Integers that do not fit in 64 bits stay on the tape as digit strings and become exact Python ints (orjson turns them into floats).

NaN, Infinity, and -Infinity parse as floats, matching json.loads. simdjson is built with SIMDJSON_ENABLE_NAN_INF, so any capitalization of nan, inf, and infinity is also accepted (Python's parser only allows the three spellings above). A number that overflows a double becomes inf, via json.loads, because simdjson still rejects it. An unpaired surrogate escape ("\ud800") is also rejected by simdjson; json.loads accepts it, so loads returns that string. A leading UTF-8 BOM is accepted.

Build and test

Python 3.10 or newer, and a C++17 compiler (clang or GCC). The simdjson 5.0.1 and simdutf 9.2.1 amalgamations are already in vendor/.

pip:

python3 -m venv .venv
. .venv/bin/activate
python -m pip install -U pip setuptools
python -m pip install -e ".[test]"
pytest tests

uv:

uv venv
. .venv/bin/activate
uv pip install -e ".[test]"
pytest tests

Either one builds the extension and makes import fastsimdjson work in the virtualenv. uv uses the setuptools build requirement from pyproject.toml, so it does not need a separate setuptools install for this path.

To compile the extension in the tree instead, install setuptools and pytest into the same virtualenv, then:

python -m pip install setuptools pytest
python setup.py build_ext --inplace
PYTHONPATH=src python -m pytest tests

uv pip install setuptools pytest
python setup.py build_ext --inplace
PYTHONPATH=src python -m pytest tests

Recent setuptools copies the .so next to src/fastsimdjson.cpp, which is why PYTHONPATH=src is required for the in-place build.

tests/test_loads.py compares loads with json.loads on types and key order. It covers scalars, integers past 64 bits, UTF-8 strings at every length from 0 to 199, the key cache, random documents, rejected input, deep nesting, padding at a page boundary, a saturated array count, reference counts, and release of a parser that has grown past 64 MB. The corpus test is skipped until simdjson-data is checked out beside the project:

git clone --depth 1 https://github.com/simdjson/simdjson-data.git
pytest tests
# or: JSONDIR=/path/to/jsonexamples pytest tests

The suite builds an ~80 MB document and a list of 16,777,221 integers, so give it some RAM.

To time loads against json.loads and orjson on those files:

python -m pip install -e ".[bench]"
python bench.py

uv pip install -e ".[bench]"
python bench.py

Benchmarks

Full materialization of simdjson-data on an Intel Xeon Gold 6548N, pinned to one core. Python 3.12.13, GCC, json.loads, orjson 3.12.0, yyjson 4.0.6, cysimdjson 26.27 (simdjson 3.8.0, AVX-512), pysimdjson 7.0.2 (icelake, AVX-512). Times are microseconds, the best of several runs. Speedup is orjson time / fastsimdjson time.

cysimdjson is JSONParser.parse(data).export() and pysimdjson is Parser.parse(data, recursive=True). yyjson.loads is Document.as_obj. fastsimdjson, json.loads, cysimdjson, and pysimdjson matched orjson on every file, including types and key order.

Geomean speedup of fastsimdjson: 3.38× over json.loads, 1.27× over orjson, 1.39× over yyjson, 1.83× over cysimdjson, and 1.79× over pysimdjson. It was the fastest on 21 files. numbers.json, a flat array of floats, is the loss against orjson (0.95×): the time is simdjson's float parser plus allocating Python floats. json.loads is slowest on every file; the gap is largest on canada.json (about 5.8×).

yyjson 4.0.6 returns non-ASCII strings as the raw UTF-8 bytes stored in a Latin-1 str. Twelve files therefore do not match orjson (the twitter files, citm_catalog, gsoc-2018, github_events, random, repeat, semanticscholar-corpus, and update-center). Those yyjson times skip a real UTF-8 decode. fastsimdjson is still ahead on the ten files where the values match.

Limitations

• Only loads is implemented; there is no dumps.
• The simdjson parser and the key and string caches are thread-local. release() frees the parser and the cached strings retained by the calling thread. A parser that grows past 64 MB is freed on its own at the end of that call; its caches stay. A thread that exits without release() leaves its cached strings behind. The module is marked free-threading compatible (Py_MOD_GIL_NOT_USED on Python 3.13 and newer), so importing it on a free-threaded build does not re-enable the GIL. Subinterpreters are not supported. On a free-threaded build, bytearray and memoryview inputs are copied before parsing.
• A document simdjson rejects is reparsed with json.loads. loads returns that value when json.loads accepts it, which is how overflow to infinity is handled. An exception is raised only when json.loads also fails. JSONDecodeError is re-raised as fastsimdjson.JSONDecodeError with the same message, document, and position. Any other exception propagates.