Skip to main content

A safe and efficient Python serialization library

Project description

rPickle

A safe and efficient Python serialization library.

Features

  • 🔒 Safe - No arbitrary code execution, unlike pickle
  • Fast - Optimized binary format
  • 📦 Compact - Small serialized size
  • 🔄 Circular references - Handles self-referential structures
  • 🎨 Extensible - Custom type support via extensions

Requirements

  • Python 3.15+ (preview)
  • Python 3.10+ (full)

Installation

pip install rPickle

Quick Start

import rPickle

# Serialize
data = {'name': 'Alice', 'scores': [95, 87, 92]}
packed = rPickle.dumps(data)

# Deserialize
restored = rPickle.loads(packed)
print(restored)  # {'name': 'Alice', 'scores': [95, 87, 92]}

API

Core Function

Function Description
dumps(obj) Serialize object to bytes
loads(data) Deserialize from bytes
dump(obj, file) Serialize to file
load(file) Deserialize from file

Extensions

from datetime import datetime

data = {'created': datetime.now()}
packed = rPickle.dumps(data, extensions=rPickle.ext.datetime_ext)
restored = rPickle.loads(packed, extensions=rPickle.ext.datetime_ext)

Custom Extensions

Add support for your own types using the extensions parameter.

from datetime import datetime

# 1. Define dump function (type → bytes)
def dump_datetime(dt: datetime) -> bytes:
    return dt.timestamp().to_bytes(8, 'little')

# 2. Define load function (bytes → type)
def load_datetime(data: bytes) -> datetime:
    timestamp = int.from_bytes(data, 'little')
    return datetime.fromtimestamp(timestamp)

# 3. Register your extension
my_extensions = rPickle.ext.Extension(typ=datetime, load_func=load_datetime, dump_func=dump_datetime)

# 4. Use it
data = {'created': datetime.now()}
packed = rPickle.dumps(data, extensions=my_extensions)
restored = rPickle.loads(packed, extensions=my_extensions)

Built-in Extensions

rPickle includes some ready-to-use extensions

Supported Types

  • None, bool, int, float, complex, str
  • bytes, bytearray
  • list, tuple, set, frozenset
  • dict, frozendict (Python 3.15+)
  • range, slice
  • Ellipsis, NotImplemented
  • Custom types

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rpickle-0.3.0.tar.gz (10.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rpickle-0.3.0-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file rpickle-0.3.0.tar.gz.

File metadata

  • Download URL: rpickle-0.3.0.tar.gz
  • Upload date:
  • Size: 10.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.5

File hashes

Hashes for rpickle-0.3.0.tar.gz
Algorithm Hash digest
SHA256 2c6f686b9f0a556360e0616c79f27601e02de858077197daa07d5712375d14b0
MD5 9a420fb807b3c6192d14655cb5789c2e
BLAKE2b-256 1210257e5b8e9084fb7b5071ccd06e6cb469339bc8280500d8ec8bda16facfdd

See more details on using hashes here.

File details

Details for the file rpickle-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: rpickle-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.5

File hashes

Hashes for rpickle-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5f797be90cd6e7860cba912c66396ef5356799bfd6b3646f4d50480b171b633d
MD5 8ae01f3997b4b5a051802cc75d313cb5
BLAKE2b-256 449607d82582d8178b8956142db225e424b77af34e27bca7cabd38748a88982b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page