<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# 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**.
[](https://github.com/explosion/srsly/actions/workflows/tests.yml)
[](https://pypi.python.org/pypi/srsly)
[](https://anaconda.org/conda-forge/srsly)
[](https://github.com/explosion/srsly)
[](https://github.com/explosion/wheelwright/releases)
## 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](https://github.com/explosion/spaCy) and
[Prodigy](https://prodi.gy) 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`](https://github.com/esnme/ultrajson)
- [`msgpack`](https://github.com/msgpack/msgpack-python)
- [`msgpack-numpy`](https://github.com/lebedov/msgpack-numpy)
- [`cloudpickle`](https://github.com/cloudpipe/cloudpickle)
- [`ruamel.yaml`](https://github.com/pycontribs/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.
```bash
python -m pip install -U pip setuptools wheel
python -m pip install srsly
```
Or from conda via conda-forge:
```bash
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:
```bash
# 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:
```bash
# 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`).
```python
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.
```python
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.
```python
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.
```python
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.
```python
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.
```python
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.
```python
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.
```python
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.
```python
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`. |
#### <kbd>function</kbd> `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.
```python
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. |
#### <kbd>function</kbd> `srsly.is_json_serializable`
Check if a Python object is JSON-serializable.
```python
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.
#### <kbd>function</kbd> `srsly.msgpack_dumps`
Serialize an object to a msgpack byte string.
```python
data = {"foo": "bar", "baz": 123}
msg = srsly.msgpack_dumps(data)
```
| Argument | Type | Description |
| ----------- | ----- | ---------------------- |
| `data` | - | The data to serialize. |
| **RETURNS** | bytes | The serialized bytes. |
#### <kbd>function</kbd> `srsly.msgpack_loads`
Deserialize msgpack bytes to a Python object.
```python
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. |
#### <kbd>function</kbd> `srsly.write_msgpack`
Create a msgpack file and dump contents.
```python
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. |
#### <kbd>function</kbd> `srsly.read_msgpack`
Load a msgpack file.
```python
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.
#### <kbd>function</kbd> `srsly.pickle_dumps`
Serialize a Python object with pickle.
```python
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. |
#### <kbd>function</kbd> `srsly.pickle_loads`
Deserialize bytes with pickle.
```python
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.
#### <kbd>function</kbd> `srsly.yaml_dumps`
Serialize an object to a YAML string. See the
[`ruamel.yaml` docs](https://yaml.readthedocs.io/en/latest/detail.html?highlight=indentation#indentation-of-block-sequences)
for details on the indentation format.
```python
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. |
#### <kbd>function</kbd> `srsly.yaml_loads`
Deserialize unicode or a file object to a Python object.
```python
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. |
#### <kbd>function</kbd> `srsly.write_yaml`
Create a YAML file and dump contents or write to standard output.
```python
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`. |
#### <kbd>function</kbd> `srsly.read_yaml`
Load YAML from a file or standard input.
```python
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. |
#### <kbd>function</kbd> `srsly.is_yaml_serializable`
Check if a Python object is YAML-serializable.
```python
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. |
Raw data
{
"_id": null,
"home_page": "https://github.com/explosion/srsly",
"name": "srsly",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.14,>=3.9",
"maintainer_email": null,
"keywords": null,
"author": "Explosion",
"author_email": "contact@explosion.ai",
"download_url": "https://files.pythonhosted.org/packages/f5/54/52041112dfa5932ea6696ca54c5ce051a71b551641733ccdf6e2b005cab3/srsly-2.5.0.tar.gz",
"platform": null,
"description": "<a href=\"https://explosion.ai\"><img src=\"https://explosion.ai/assets/img/logo.svg\" width=\"125\" height=\"125\" align=\"right\" /></a>\n\n# srsly: Modern high-performance serialization utilities for Python\n\nThis package bundles some of the best Python serialization libraries into one\nstandalone package, with a high-level API that makes it easy to write code\nthat's correct across platforms and Pythons. This allows us to provide all the\nserialization utilities we need in a single binary wheel. Currently supports\n**JSON**, **JSONL**, **MessagePack**, **Pickle** and **YAML**.\n\n[](https://github.com/explosion/srsly/actions/workflows/tests.yml)\n[](https://pypi.python.org/pypi/srsly)\n[](https://anaconda.org/conda-forge/srsly)\n[](https://github.com/explosion/srsly)\n[](https://github.com/explosion/wheelwright/releases)\n\n## Motivation\n\nSerialization is hard, especially across Python versions and multiple platforms.\nAfter dealing with many subtle bugs over the years (encodings, locales, large\nfiles) our libraries like [spaCy](https://github.com/explosion/spaCy) and\n[Prodigy](https://prodi.gy) had steadily grown a number of utility functions to\nwrap the multiple serialization formats we need to support (especially `json`,\n`msgpack` and `pickle`). These wrapping functions ended up duplicated across our\ncodebases, so we wanted to put them in one place.\n\nAt the same time, we noticed that having a lot of small dependencies was making\nmaintenance harder, and making installation slower. To solve this, we've made\n`srsly` standalone, by including the component packages directly within it. This\nway we can provide all the serialization utilities we need in a single binary\nwheel.\n\n`srsly` currently includes forks of the following packages:\n\n- [`ujson`](https://github.com/esnme/ultrajson)\n- [`msgpack`](https://github.com/msgpack/msgpack-python)\n- [`msgpack-numpy`](https://github.com/lebedov/msgpack-numpy)\n- [`cloudpickle`](https://github.com/cloudpipe/cloudpickle)\n- [`ruamel.yaml`](https://github.com/pycontribs/ruamel-yaml) (without unsafe\n implementations!)\n\n## Installation\n\n> \u26a0\ufe0f Note that `v2.x` is only compatible with **Python 3.6+**. For 2.7+\n> compatibility, use `v1.x`.\n\n`srsly` can be installed from pip. Before installing, make sure that your `pip`,\n`setuptools` and `wheel` are up to date.\n\n```bash\npython -m pip install -U pip setuptools wheel\npython -m pip install srsly\n```\n\nOr from conda via conda-forge:\n\n```bash\nconda install -c conda-forge srsly\n```\n\nAlternatively, you can also compile the library from source. You'll need to make\nsure that you have a development environment with a Python distribution\nincluding header files, a compiler (XCode command-line tools on macOS / OS X or\nVisual C++ build tools on Windows), pip and git installed.\n\nInstall from source:\n\n```bash\n# clone the repo\ngit clone https://github.com/explosion/srsly\ncd srsly\n\n# create a virtual environment\npython -m venv .env\nsource .env/bin/activate\n\n# update pip\npython -m pip install -U pip setuptools wheel\n\n# compile and install from source\npython -m pip install .\n```\n\nFor developers, install requirements separately and then install in editable\nmode without build isolation:\n\n```bash\n# install in editable mode\npython -m pip install -r requirements.txt\npython -m pip install --no-build-isolation --editable .\n\n# run test suite\npython -m pytest --pyargs srsly\n```\n\n## API\n\n### JSON\n\n> \ud83d\udce6 The underlying module is exposed via `srsly.ujson`. However, we normally\n> interact with it via the utility functions only.\n\n#### <kbd>function</kbd> `srsly.json_dumps`\n\nSerialize an object to a JSON string. Falls back to `json` if `sort_keys=True`\nis used (until it's fixed in `ujson`).\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\njson_string = srsly.json_dumps(data)\n```\n\n| Argument | Type | Description |\n| ----------- | ---- | ------------------------------------------------------ |\n| `data` | - | The JSON-serializable data to output. |\n| `indent` | int | Number of spaces used to indent JSON. Defaults to `0`. |\n| `sort_keys` | bool | Sort dictionary keys. Defaults to `False`. |\n| **RETURNS** | str | The serialized string. |\n\n#### <kbd>function</kbd> `srsly.json_loads`\n\nDeserialize unicode or bytes to a Python object.\n\n```python\ndata = '{\"foo\": \"bar\", \"baz\": 123}'\nobj = srsly.json_loads(data)\n```\n\n| Argument | Type | Description |\n| ----------- | ----------- | ------------------------------- |\n| `data` | str / bytes | The data to deserialize. |\n| **RETURNS** | - | The deserialized Python object. |\n\n#### <kbd>function</kbd> `srsly.write_json`\n\nCreate a JSON file and dump contents or write to standard output.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\nsrsly.write_json(\"/path/to/file.json\", data)\n```\n\n| Argument | Type | Description |\n| -------- | ------------ | ------------------------------------------------------ |\n| `path` | str / `Path` | The file path or `\"-\"` to write to stdout. |\n| `data` | - | The JSON-serializable data to output. |\n| `indent` | int | Number of spaces used to indent JSON. Defaults to `2`. |\n\n#### <kbd>function</kbd> `srsly.read_json`\n\nLoad JSON from a file or standard input.\n\n```python\ndata = srsly.read_json(\"/path/to/file.json\")\n```\n\n| Argument | Type | Description |\n| ----------- | ------------ | ------------------------------------------ |\n| `path` | str / `Path` | The file path or `\"-\"` to read from stdin. |\n| **RETURNS** | dict / list | The loaded JSON content. |\n\n#### <kbd>function</kbd> `srsly.write_gzip_json`\n\nCreate a gzipped JSON file and dump contents.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\nsrsly.write_gzip_json(\"/path/to/file.json.gz\", data)\n```\n\n| Argument | Type | Description |\n| -------- | ------------ | ------------------------------------------------------ |\n| `path` | str / `Path` | The file path. |\n| `data` | - | The JSON-serializable data to output. |\n| `indent` | int | Number of spaces used to indent JSON. Defaults to `2`. |\n\n#### <kbd>function</kbd> `srsly.write_gzip_jsonl`\n\nCreate a gzipped JSONL file and dump contents.\n\n```python\ndata = [{\"foo\": \"bar\"}, {\"baz\": 123}]\nsrsly.write_gzip_json(\"/path/to/file.jsonl.gz\", data)\n```\n\n| Argument | Type | Description |\n| ----------------- | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `path` | str / `Path` | The file path. |\n| `lines` | - | The JSON-serializable contents of each line. |\n| `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. |\n| `append_new_line` | bool | Whether or not to write a new line before appending to the file. |\n\n#### <kbd>function</kbd> `srsly.read_gzip_json`\n\nLoad gzipped JSON from a file.\n\n```python\ndata = srsly.read_gzip_json(\"/path/to/file.json.gz\")\n```\n\n| Argument | Type | Description |\n| ----------- | ------------ | ------------------------ |\n| `path` | str / `Path` | The file path. |\n| **RETURNS** | dict / list | The loaded JSON content. |\n\n#### <kbd>function</kbd> `srsly.read_gzip_jsonl`\n\nLoad gzipped JSONL from a file.\n\n```python\ndata = srsly.read_gzip_jsonl(\"/path/to/file.jsonl.gz\")\n```\n\n| Argument | Type | Description |\n| ----------- | ------------ | ------------------------- |\n| `path` | str / `Path` | The file path. |\n| **RETURNS** | dict / list | The loaded JSONL content. |\n\n#### <kbd>function</kbd> `srsly.write_jsonl`\n\nCreate a JSONL file (newline-delimited JSON) and dump contents line by line, or\nwrite to standard output.\n\n```python\ndata = [{\"foo\": \"bar\"}, {\"baz\": 123}]\nsrsly.write_jsonl(\"/path/to/file.jsonl\", data)\n```\n\n| Argument | Type | Description |\n| ----------------- | ------------ | ---------------------------------------------------------------------------------------------------------------------- |\n| `path` | str / `Path` | The file path or `\"-\"` to write to stdout. |\n| `lines` | iterable | The JSON-serializable lines. |\n| `append` | bool | Append to an existing file. Will open it in `\"a\"` mode and insert a newline before writing lines. Defaults to `False`. |\n| `append_new_line` | bool | Defines whether a new line should first be written when appending to an existing file. Defaults to `True`. |\n\n#### <kbd>function</kbd> `srsly.read_jsonl`\n\nRead a JSONL file (newline-delimited JSON) or from JSONL data from standard\ninput and yield contents line by line. Blank lines will always be skipped.\n\n```python\ndata = srsly.read_jsonl(\"/path/to/file.jsonl\")\n```\n\n| Argument | Type | Description |\n| ---------- | ---------- | -------------------------------------------------------------------- |\n| `path` | str / Path | The file path or `\"-\"` to read from stdin. |\n| `skip` | bool | Skip broken lines and don't raise `ValueError`. Defaults to `False`. |\n| **YIELDS** | - | The loaded JSON contents of each line. |\n\n#### <kbd>function</kbd> `srsly.is_json_serializable`\n\nCheck if a Python object is JSON-serializable.\n\n```python\nassert srsly.is_json_serializable({\"hello\": \"world\"}) is True\nassert srsly.is_json_serializable(lambda x: x) is False\n```\n\n| Argument | Type | Description |\n| ----------- | ---- | ---------------------------------------- |\n| `obj` | - | The object to check. |\n| **RETURNS** | bool | Whether the object is JSON-serializable. |\n\n### msgpack\n\n> \ud83d\udce6 The underlying module is exposed via `srsly.msgpack`. 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Defaults to `True`. |\n| **RETURNS** | - | The deserialized Python object. |\n\n#### <kbd>function</kbd> `srsly.write_msgpack`\n\nCreate a msgpack file and dump contents.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\nsrsly.write_msgpack(\"/path/to/file.msg\", data)\n```\n\n| Argument | Type | Description |\n| -------- | ------------ | ---------------------- |\n| `path` | str / `Path` | The file path. |\n| `data` | - | The data to serialize. |\n\n#### <kbd>function</kbd> `srsly.read_msgpack`\n\nLoad a msgpack file.\n\n```python\ndata = srsly.read_msgpack(\"/path/to/file.msg\")\n```\n\n| Argument | Type | Description |\n| ----------- | ------------ | --------------------------------------------------------------------------------------- |\n| `path` | str / `Path` | The file path. |\n| `use_list` | bool | Don't use tuples instead of lists. Can make deserialization slower. Defaults to `True`. |\n| **RETURNS** | - | The loaded and deserialized content. |\n\n### pickle\n\n> \ud83d\udce6 The underlying module is exposed via `srsly.cloudpickle`. However, we\n> normally interact with it via the utility functions only.\n\n#### <kbd>function</kbd> `srsly.pickle_dumps`\n\nSerialize a Python object with pickle.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\npickled_data = srsly.pickle_dumps(data)\n```\n\n| Argument | Type | Description |\n| ----------- | ----- | ------------------------------------------------------ |\n| `data` | - | The object to serialize. |\n| `protocol` | int | Protocol to use. `-1` for highest. Defaults to `None`. |\n| **RETURNS** | bytes | The serialized object. |\n\n#### <kbd>function</kbd> `srsly.pickle_loads`\n\nDeserialize bytes with pickle.\n\n```python\npickled_data = b\"\\x80\\x04\\x95\\x19\\x00\\x00\\x00\\x00\\x00\\x00\\x00}\\x94(\\x8c\\x03foo\\x94\\x8c\\x03bar\\x94\\x8c\\x03baz\\x94K{u.\"\ndata = srsly.pickle_loads(pickled_data)\n```\n\n| Argument | Type | Description |\n| ----------- | ----- | ------------------------------- |\n| `data` | bytes | The data to deserialize. |\n| **RETURNS** | - | The deserialized Python object. |\n\n### YAML\n\n> \ud83d\udce6 The underlying module is exposed via `srsly.ruamel_yaml`. However, we\n> normally interact with it via the utility functions only.\n\n#### <kbd>function</kbd> `srsly.yaml_dumps`\n\nSerialize an object to a YAML string. See the\n[`ruamel.yaml` docs](https://yaml.readthedocs.io/en/latest/detail.html?highlight=indentation#indentation-of-block-sequences)\nfor details on the indentation format.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\nyaml_string = srsly.yaml_dumps(data)\n```\n\n| Argument | Type | Description |\n| ----------------- | ---- | ------------------------------------------ |\n| `data` | - | The JSON-serializable data to output. |\n| `indent_mapping` | int | Mapping indentation. Defaults to `2`. |\n| `indent_sequence` | int | Sequence indentation. Defaults to `4`. |\n| `indent_offset` | int | Indentation offset. Defaults to `2`. |\n| `sort_keys` | bool | Sort dictionary keys. Defaults to `False`. |\n| **RETURNS** | str | The serialized string. |\n\n#### <kbd>function</kbd> `srsly.yaml_loads`\n\nDeserialize unicode or a file object to a Python object.\n\n```python\ndata = 'foo: bar\\nbaz: 123'\nobj = srsly.yaml_loads(data)\n```\n\n| Argument | Type | Description |\n| ----------- | ---------- | ------------------------------- |\n| `data` | str / file | The data to deserialize. |\n| **RETURNS** | - | The deserialized Python object. |\n\n#### <kbd>function</kbd> `srsly.write_yaml`\n\nCreate a YAML file and dump contents or write to standard output.\n\n```python\ndata = {\"foo\": \"bar\", \"baz\": 123}\nsrsly.write_yaml(\"/path/to/file.yml\", data)\n```\n\n| Argument | Type | Description |\n| ----------------- | ------------ | ------------------------------------------ |\n| `path` | str / `Path` | The file path or `\"-\"` to write to stdout. |\n| `data` | - | The JSON-serializable data to output. |\n| `indent_mapping` | int | Mapping indentation. 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