Metadata-Version: 2.1
Name: serialzy
Version: 1.0.0
Author: ʎzy developers
License: LICENSE
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS

[![Pypi version](https://img.shields.io/pypi/v/serialzy)](https://pypi.org/project/serialzy/)
[![Tests](https://github.com/lambdazy/serialzy/actions/workflows/tests.yaml/badge.svg)](https://github.com/lambda-zy/lzy/actions/workflows/tests.yaml)
[![Python tests coverage](https://gist.githubusercontent.com/mrMakaronka/74a3e00f914bb55c0f3582a7d48e3bcd/raw/main-coverage.svg)](https://github.com/lambdazy/lzy/tree/master/pylzy/tests)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/serialzy.svg)](https://pypi.org/project/serialzy/)

# serialzy

Serialzy is a library for python objects serialization into portable and interoperable data formats (if possible).

### Example

Suppose you have a catboost model:

```python
from catboost import CatBoostClassifier

model = CatBoostClassifier()
model.fit(...)
```

Firstly you should find a proper serializer for the catboost model type or the corresponding data format:

```python
from serialzy.registry import DefaultSerializerRegistry

registry = DefaultSerializerRegistry()
serializer = registry.find_serializer_by_type(type(model)) # registry.find_serializer_by_data_format("cbm")
```

Serializers have several properties:

```python
serializer.available()      # can be used in the current environment
serializer.requirements()   # libraries needed to be installed to use this serializer
serializer.stable()         # has portable data format
```

Serializers can provide data format and schema for a type:

```python
serializer.data_format()
serializer.schema(type(model))
```

Serialization:

```python
with open('model.cbm', 'wb') as file:
    serializer.serialize(model, file)
```

Deserialization:

```python
with open('result', 'rb') as file:
    deserialized_obj = serializer.deserialize(file)
```

### List of supported libraries for stable serialization:

| Library                                     | Types                                                                                                                                                                                                                                                                                                                | Data format                                                                                                   | 
|---------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|
| Python std lib                              | int, str, float, bool, None                                                                                                                                                                                                                                                                                          | [string representation](https://github.com/lambdazy/serialzy/blob/main/serialzy/serializers/primitive.py)                                                                                     |
| Python std lib                              | List, Tuple                                                                                                                                                                                                                                                                                                          | [custom format](https://github.com/lambdazy/serialzy/blob/main/serialzy/serializers/sequence.py)              |
| [CatBoost](https://catboost.ai)             | [CatBoostRegressor](https://catboost.ai/en/docs/concepts/python-reference_catboostregressor), [CatBoostClassifier](https://catboost.ai/en/docs/concepts/python-reference_catboostclassifier), [CatBoostRanker](https://catboost.ai/en/docs/concepts/python-reference_catboostranker)                                 | [cbm](https://catboost.ai/en/docs/concepts/python-reference_catboost_save_model)                              |
| [CatBoost](https://catboost.ai)             | [Pool](https://catboost.ai/en/docs/concepts/python-reference_pool)                                                                                                                                                                                                                                                   | [quantized pool](https://catboost.ai/en/docs/concepts/python-reference_pool_save)                             |
| [Tensorflow.Keras](https://keras.io)        | [Sequential](https://keras.io/guides/sequential_model/), [Model](https://keras.io/api/models/model/) with subclasses                                                                                                                                                                                                 | [tf_keras](https://keras.io/api/models/model_saving_apis/)                                                    |
| [Tensorflow](https://www.tensorflow.org)    | [Checkpoint](https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint), [Module](https://www.tensorflow.org/api_docs/python/tf/Module) with subclasses                                                                                                                                                         | [tf_pure](https://www.tensorflow.org/api_docs/python/tf/saved_model)                                          |
| [LightGBM](https://lightgbm.readthedocs.io) | [LGBMClassifier](https://lightgbm.readthedocs.io/en/v3.3.2/pythonapi/lightgbm.LGBMClassifier.html), [LGBMRegressor](https://lightgbm.readthedocs.io/en/v3.3.2/pythonapi/lightgbm.LGBMRegressor.html), [LGBMRanker](https://lightgbm.readthedocs.io/en/v3.3.2/pythonapi/lightgbm.LGBMRanker.html)                     | [lgbm](https://lightgbm.readthedocs.io/en/v3.3.2/pythonapi/lightgbm.Booster.html#lightgbm.Booster.save_model) |
| [XGBoost](https://lightgbm.readthedocs.io)  | [XGBClassifier](https://xgboost.readthedocs.io/en/latest/python/python_api.html#module-xgboost.sklearn), [XGBRegressor](https://xgboost.readthedocs.io/en/latest/python/python_api.html#module-xgboost.sklearn), [XGBRanker](https://xgboost.readthedocs.io/en/latest/python/python_api.html#module-xgboost.sklearn) | [xgb](https://xgboost.readthedocs.io/en/latest/python/python_intro.html#training)                             |
| [Torch](https://pytorch.org)                | [Module](https://pytorch.org/docs/stable/notes/modules.html) with subclasses                                                                                                                                                                                                                                         | [pt](https://pytorch.org/docs/stable/generated/torch.jit.save.html#torch.jit.save)                            |
