Serpent is a simple serialization library based on ast.literal_eval.

Because it only serializes literals and recreates the objects using ast.literal_eval(), the serialized data is safe to transport to other machines (over the network for instance) and de-serialize it there.

There is also a Java and a .NET (C#) implementation available. This allows for easy data transfer between the various ecosystems. You can get the full source distribution, a Java .jar file, and a .NET assembly dll. The java library can be obtained from Maven central (groupid net.razorvine artifactid serpent), and the .NET assembly can be obtained from Nuget.org (package Razorvine.Serpent).

API

• ser_bytes = serpent.dumps(obj, indent=False, module_in_classname=False): # serialize obj tree to bytes
• obj = serpent.loads(ser_bytes) # deserialize bytes back into object tree
• You can use ast.literal_eval yourself to deserialize, but serpent.deserialize works around a few corner cases. See source for details.

Serpent is more sophisticated than a simple repr() + literal_eval():

• it serializes directly to bytes (utf-8 encoded), instead of a string, so it can immediately be saved to a file or sent over a socket
• it encodes byte-types as base-64 instead of inefficient escaping notation that repr would use (this does mean you have to base-64 decode these strings manually on the receiving side to get your bytes back. You can use the serpent.tobytes utility function for this.)
• it contains a few custom serializers for several additional Python types such as uuid, datetime, array and decimal
• it tries to serialize unrecognised types as a dict (you can control this with getstate on your own types)
• it can create a pretty-printed (indented) output for readability purposes
• it outputs the keys of sets and dicts in alphabetical order (when pretty-printing)
• it works around a few quirks of ast.literal_eval() on the various Python implementations

Serpent allows comments in the serialized data (because it is just Python source code). Serpent can't serialize object graphs (when an object refers to itself); it will then crash with a ValueError pointing out the problem.

Works with Python 3 recent versions.

FAQ

• Why not use XML? Answer: because XML.
• Why not use JSON? Answer: because JSON is quite limited in the number of datatypes it supports, and you can't use comments in a JSON file.
• Why not use pickle? Answer: because pickle has security problems.
• Why not use repr()/ast.literal_eval()? See above; serpent is a superset of this and provides more convenience. Serpent provides automatic serialization mappings for types other than the builtin primitive types. repr() can't serialize these to literals that ast.literal_eval() understands.
• Why not a binary format? Answer: because binary isn't readable by humans.
• But I don't care about readability. Answer: doesn't matter, ast.literal_eval() wants a literal string, so that is what we produce.
• But I want better performance. Answer: ok, maybe you shouldn't use serpent in this case. Find an efficient binary protocol (protobuf?)
• Why only Python, Java and C#/.NET, but no bindings for insert-favorite-language-here? Answer: I don't speak that language. Maybe you could port serpent yourself?
• Where is the source? It's on Github: https://github.com/irmen/Serpent
• Can I use it everywhere? Sure, as long as you keep the copyright and disclaimer somewhere. See the LICENSE file.

Demo

.. code:: python

-- coding: utf-8 --

import ast import uuid import datetime import pprint import serpent

class DemoClass: def init(self): self.i=42 self.b=False

data = { "names": ["Harry", "Sally", "Peter"], "big": 2**200, "colorset": { "red", "green" }, "id": uuid.uuid4(), "timestamp": datetime.datetime.now(), "class": DemoClass(), "unicode": "€" }

serialize it

ser = serpent.dumps(data, indent=True) open("data.serpent", "wb").write(ser)

print("Serialized form:") print(ser.decode("utf-8"))

read it back

data = serpent.load(open("data.serpent", "rb")) print("Data:") pprint.pprint(data)

you can also use ast.literal_eval if you like

ser_string = open("data.serpent", "r", encoding="utf-8").read() data2 = ast.literal_eval(ser_string)

assert data2==data

When you run this it prints:

.. code:: python

Serialized form:

serpent utf-8 python3.2

{ 'big': 1606938044258990275541962092341162602522202993782792835301376, 'class': { 'class': 'DemoClass', 'b': False, 'i': 42 }, 'colorset': { 'green', 'red' }, 'id': 'e461378a-201d-4844-8119-7c1570d9d186', 'names': [ 'Harry', 'Sally', 'Peter' ], 'timestamp': '2013-04-02T00:23:00.924000', 'unicode': '€' } Data: {'big': 1606938044258990275541962092341162602522202993782792835301376, 'class': {'class': 'DemoClass', 'b': False, 'i': 42}, 'colorset': {'green', 'red'}, 'id': 'e461378a-201d-4844-8119-7c1570d9d186', 'names': ['Harry', 'Sally', 'Peter'], 'timestamp': '2013-04-02T00:23:00.924000', 'unicode': '€'}