srsly: Modern high-performance serialization utilities for Python

This package bundles some of the best Python serialization libraries into one
standalone package, with a high-level API that makes it easy to write code
that’s correct across platforms and Pythons. This allows us to provide all the
serialization utilities we need in a single binary wheel. Currently supports
JSON, JSONL, MessagePack, Pickle and YAML.

Motivation

Serialization is hard, especially across Python versions and multiple platforms.
After dealing with many subtle bugs over the years (encodings, locales, large
files) our libraries like spaCy and
Prodigy had steadily grown a number of utility functions to
wrap the multiple serialization formats we need to support (especially json,
msgpack and pickle). These wrapping functions ended up duplicated across our
codebases, so we wanted to put them in one place.

At the same time, we noticed that having a lot of small dependencies was making
maintenance harder, and making installation slower. To solve this, we’ve made
srsly standalone, by including the component packages directly within it. This
way we can provide all the serialization utilities we need in a single binary
wheel.

srsly currently includes forks of the following packages:

• ujson
• msgpack
• msgpack-numpy
• cloudpickle
• ruamel.yaml (without unsafe
  implementations!)

Installation

⚠️ Note that v2.x is only compatible with Python 3.6+. For 2.7+
compatibility, use v1.x.

srsly can be installed from pip. Before installing, make sure that your pip,
setuptools and wheel are up to date.

python -m pip install -U pip setuptools wheel
python -m pip install srsly

Or from conda via conda-forge:

conda install -c conda-forge srsly

Alternatively, you can also compile the library from source. You’ll need to make
sure that you have a development environment with a Python distribution
including header files, a compiler (XCode command-line tools on macOS / OS X or
Visual C++ build tools on Windows), pip and git installed.

Install from source:

# clone the repo
git clone https://github.com/explosion/srsly
cd srsly

# create a virtual environment
python -m venv .env
source .env/bin/activate

# update pip
python -m pip install -U pip setuptools wheel

# compile and install from source
python -m pip install .

For developers, install requirements separately and then install in editable
mode without build isolation:

# install in editable mode
python -m pip install -r requirements.txt
python -m pip install --no-build-isolation --editable .

# run test suite
python -m pytest --pyargs srsly

API

JSON

📦 The underlying module is exposed via srsly.ujson. However, we normally
interact with it via the utility functions only.

function srsly.json_dumps

Serialize an object to a JSON string. Falls back to json if sort_keys=True
is used (until it’s fixed in ujson).

data = {"foo": "bar", "baz": 123}
json_string = srsly.json_dumps(data)

Argument	Type	Description
data	-	The JSON-serializable data to output.
indent	int	Number of spaces used to indent JSON. Defaults to 0.
sort_keys	bool	Sort dictionary keys. Defaults to False.
RETURNS	str	The serialized string.

function srsly.json_loads

Deserialize unicode or bytes to a Python object.

data = '{"foo": "bar", "baz": 123}'
obj = srsly.json_loads(data)

Argument	Type	Description
data	str / bytes	The data to deserialize.
RETURNS	-	The deserialized Python object.

function srsly.write_json

Create a JSON file and dump contents or write to standard output.

data = {"foo": "bar", "baz": 123}
srsly.write_json("/path/to/file.json", data)

Argument	Type	Description
path	str / Path	The file path or "-" to write to stdout.
data	-	The JSON-serializable data to output.
indent	int	Number of spaces used to indent JSON. Defaults to 2.

function srsly.read_json

Load JSON from a file or standard input.

data = srsly.read_json("/path/to/file.json")

Argument	Type	Description
path	str / Path	The file path or "-" to read from stdin.
RETURNS	dict / list	The loaded JSON content.

function srsly.write_gzip_json

Create a gzipped JSON file and dump contents.

data = {"foo": "bar", "baz": 123}
srsly.write_gzip_json("/path/to/file.json.gz", data)

Argument	Type	Description
path	str / Path	The file path.
data	-	The JSON-serializable data to output.
indent	int	Number of spaces used to indent JSON. Defaults to 2.

function srsly.write_gzip_jsonl

Create a gzipped JSONL file and dump contents.

data = [{"foo": "bar"}, {"baz": 123}]
srsly.write_gzip_json("/path/to/file.jsonl.gz", data)

Argument	Type	Description
path	str / Path	The file path.
lines	-	The JSON-serializable contents of each line.
append	bool	Whether or not to append to the location. Appending to .gz files is generally not recommended, as it doesn’t allow the algorithm to take advantage of all data when compressing - files may hence be poorly compressed.
append_new_line	bool	Whether or not to write a new line before appending to the file.

function srsly.read_gzip_json

Load gzipped JSON from a file.

data = srsly.read_gzip_json("/path/to/file.json.gz")

Argument	Type	Description
path	str / Path	The file path.
RETURNS	dict / list	The loaded JSON content.

function srsly.read_gzip_jsonl

Load gzipped JSONL from a file.

data = srsly.read_gzip_jsonl("/path/to/file.jsonl.gz")

Argument	Type	Description
path	str / Path	The file path.
RETURNS	dict / list	The loaded JSONL content.

function srsly.write_jsonl

Create a JSONL file (newline-delimited JSON) and dump contents line by line, or
write to standard output.

data = [{"foo": "bar"}, {"baz": 123}]
srsly.write_jsonl("/path/to/file.jsonl", data)

Argument	Type	Description
path	str / Path	The file path or "-" to write to stdout.
lines	iterable	The JSON-serializable lines.
append	bool	Append to an existing file. Will open it in "a" mode and insert a newline before writing lines. Defaults to False.
append_new_line	bool	Defines whether a new line should first be written when appending to an existing file. Defaults to True.

function srsly.read_jsonl

Read a JSONL file (newline-delimited JSON) or from JSONL data from standard
input and yield contents line by line. Blank lines will always be skipped.

data = srsly.read_jsonl("/path/to/file.jsonl")

Argument	Type	Description
path	str / Path	The file path or "-" to read from stdin.
skip	bool	Skip broken lines and don’t raise ValueError. Defaults to False.
YIELDS	-	The loaded JSON contents of each line.

function srsly.is_json_serializable

Check if a Python object is JSON-serializable.

assert srsly.is_json_serializable({"hello": "world"}) is True
assert srsly.is_json_serializable(lambda x: x) is False

Argument	Type	Description
obj	-	The object to check.
RETURNS	bool	Whether the object is JSON-serializable.

msgpack

📦 The underlying module is exposed via srsly.msgpack. However, we normally
interact with it via the utility functions only.

function srsly.msgpack_dumps

Serialize an object to a msgpack byte string.

data = {"foo": "bar", "baz": 123}
msg = srsly.msgpack_dumps(data)

Argument	Type	Description
data	-	The data to serialize.
RETURNS	bytes	The serialized bytes.

function srsly.msgpack_loads

Deserialize msgpack bytes to a Python object.

msg = b"\x82\xa3foo\xa3bar\xa3baz{"
data = srsly.msgpack_loads(msg)

Argument	Type	Description
data	bytes	The data to deserialize.
use_list	bool	Don’t use tuples instead of lists. Can make deserialization slower. Defaults to True.
RETURNS	-	The deserialized Python object.

function srsly.write_msgpack

Create a msgpack file and dump contents.

data = {"foo": "bar", "baz": 123}
srsly.write_msgpack("/path/to/file.msg", data)

Argument	Type	Description
path	str / Path	The file path.
data	-	The data to serialize.

function srsly.read_msgpack

Load a msgpack file.

data = srsly.read_msgpack("/path/to/file.msg")

Argument	Type	Description
path	str / Path	The file path.
use_list	bool	Don’t use tuples instead of lists. Can make deserialization slower. Defaults to True.
RETURNS	-	The loaded and deserialized content.

pickle

📦 The underlying module is exposed via srsly.cloudpickle. However, we
normally interact with it via the utility functions only.

function srsly.pickle_dumps

Serialize a Python object with pickle.

data = {"foo": "bar", "baz": 123}
pickled_data = srsly.pickle_dumps(data)

Argument	Type	Description
data	-	The object to serialize.
protocol	int	Protocol to use. -1 for highest. Defaults to None.
RETURNS	bytes	The serialized object.

function srsly.pickle_loads

Deserialize bytes with pickle.

pickled_data = b"\x80\x04\x95\x19\x00\x00\x00\x00\x00\x00\x00}\x94(\x8c\x03foo\x94\x8c\x03bar\x94\x8c\x03baz\x94K{u."
data = srsly.pickle_loads(pickled_data)

Argument	Type	Description
data	bytes	The data to deserialize.
RETURNS	-	The deserialized Python object.

YAML

📦 The underlying module is exposed via srsly.ruamel_yaml. However, we
normally interact with it via the utility functions only.

function srsly.yaml_dumps

Serialize an object to a YAML string. See the
ruamel.yaml docs
for details on the indentation format.

data = {"foo": "bar", "baz": 123}
yaml_string = srsly.yaml_dumps(data)

Argument	Type	Description
data	-	The JSON-serializable data to output.
indent_mapping	int	Mapping indentation. Defaults to 2.
indent_sequence	int	Sequence indentation. Defaults to 4.
indent_offset	int	Indentation offset. Defaults to 2.
sort_keys	bool	Sort dictionary keys. Defaults to False.
RETURNS	str	The serialized string.

function srsly.yaml_loads

Deserialize unicode or a file object to a Python object.

data = 'foo: bar\nbaz: 123'
obj = srsly.yaml_loads(data)

Argument	Type	Description
data	str / file	The data to deserialize.
RETURNS	-	The deserialized Python object.

function srsly.write_yaml

Create a YAML file and dump contents or write to standard output.

data = {"foo": "bar", "baz": 123}
srsly.write_yaml("/path/to/file.yml", data)

Argument	Type	Description
path	str / Path	The file path or "-" to write to stdout.
data	-	The JSON-serializable data to output.
indent_mapping	int	Mapping indentation. Defaults to 2.
indent_sequence	int	Sequence indentation. Defaults to 4.
indent_offset	int	Indentation offset. Defaults to 2.
sort_keys	bool	Sort dictionary keys. Defaults to False.

function srsly.read_yaml

Load YAML from a file or standard input.

data = srsly.read_yaml("/path/to/file.yml")

Argument	Type	Description
path	str / Path	The file path or "-" to read from stdin.
RETURNS	dict / list	The loaded YAML content.

function srsly.is_yaml_serializable

Check if a Python object is YAML-serializable.

assert srsly.is_yaml_serializable({"hello": "world"}) is True
assert srsly.is_yaml_serializable(lambda x: x) is False

Argument	Type	Description
obj	-	The object to check.
RETURNS	bool	Whether the object is YAML-serializable.