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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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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.

<kbd>function</kbd> 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