History

Warning

The next major release of jsonpickle (v3.0.0) will drop support for Python 3.6 and earlier (including Python 2.7).

Note

Users on older Python versions should pin requirements to jsonpickle<3.0.0.

v3.0.0

  • Drop support for CPython<3.7. CPython 3.6 and below have reached EOL and no longer receieve security updates. (#375)

  • Add support for CPython 3.11. (#395) (+396)

  • Remove jsonlib and yajl backends (py2 only)

  • Add include_properties option to the pickler. This should only be used if analyzing generated json outside of Python. (#297) (+387)

  • Allow the classes argument to jsonpickle.decode to be a dict of class name to class object. This lets you decode arbitrary dumps into different classes. (#148) (+392)

  • Fix bug with deserializing numpy.poly1d. (#391)

  • Allow frozen dataclasses to be deserialized. (#240)

  • Fixed a bug where pickling a function could return a None module. (#399)

  • Removed old bytes/quopri and ref decoding abaility from the unpickler. These were last used in jsonpickle<1. Removing them causes a slight speedup in unpickling lists (~5%). (+403)

  • Fixed a bug with namedtuples encoding on CPython 3.11. (#411)

  • When using the sort_keys option for the simplejson backend, jsonpickle now produces correct object references with py/id tags. (#408)

  • Speed up the internal method _restore_tags by ~10%. This should speed up unpickling of almost every object.

v2.2.0

  • Classes with a custom __getitem__() and append() now pickle properly. (#362) (+379)

  • Remove the demjson backend, as demjson hasn’t been maintained for 5 years. (+379)

  • Added new handler for numpy objects when using unpickleable=False. (#381) (+382)

  • Added exception handling for class attributes that can’t be accessed. (#301) (+383)

  • Added a long-requested on_missing attribute to the Unpickler class. This lets you choose behavior for when jsonpickle can’t find a class to deserialize to. (#190) (#193) (+384)

  • Private members of __slots__ are no longer skipped when encoding. Any objects encoded with versions prior to 2.2.0 should still decode properly. (#318) (+385)

v2.1.0

  • Python 3.10 is now officially supported. (+376)

  • Benchmarks were added to aid in optimization efforts. (#350) (+352)

  • is_reducible() was sped up by ~80%. (+353) (+354)

  • _restore_tags() was sped up by ~100%. Unpickling items with a lot of tuples and sets will benefit most. Python 2 users and users deserializing pickles from jsonpickle <= 0.9.6 may see a slight performance decrease if using a lot of bytes, ref, and/or repr objects. (+354)

  • is_iterator() was sped up by ~20% by removing an unnecessary variable assignment. (+354)

  • jsonpickle.decode has a new option, v1_decode to assist in decoding objects created in jsonpickle version 1. (#364)

  • The encode() documentation has been updated to help sklearn users.

  • demjson has been removed from the test suite. (+374)

  • SQLALchemy<1.2 is no longer being tested by jsonpickle. Users of sqlalchemy + jsonpickle can always use 1.2 or 1.3. When jsonpickle v3 is released we will add SQLAlchemy 1.4 to the test suite alongside removal of support for Python 3.5 and earlier.

v2.0.0

  • Major release: the serialized JSON format now preserves dictionary identity, which is a subtle change in the serialized format. (#351)

  • Dictionary identity is now preserved. For example, if the same dictionary appears twice in a list, the reconstituted list will now contain two references to the same dictionary. (#255) (+332)

v1.5.2

  • Patch release to avoid the change in behavior from the preservation of dict identity. The next release will be v2.0.0. (#351)

  • This release does not include the performance improvements from v1.5.1.

  • Pandas DataFrame objects with multilevel columns are now supported. (#346) (+347)

  • Numpy 1.20 is now officially supported. (#336)

  • Python 3.9 is now officially supported. (+348)

  • Achieved a small speedup for _get_flattener by merging type checks. (+349)

v1.5.1

  • The performance of the unpickler was drastically improved by avoiding tag checks for basic Python types. (+340)

  • decode() documentation improvements. (+341)

  • Serialization of Pandas DataFrame objects that contain timedelta64[ns] dtypes are now supported. (+330) (#331)

  • Dictionary identity is now preserved. For example, if the same dictionary appears twice in a list, the reconstituted list will now contain two references to the same dictionary. (#255) (+332)

  • Unit tests were added to ensure that sklearn.tree.DecisionTreeClassifier objects are properly serialized. (#155) (+344)

  • The is_reducible() utility function used by encode() is now 4x faster! Objects that provide __getstate__(), __setstate__(), and __slots__ benefit most from these improvements. (+343)

  • Improved pickler flatten()/encode() performance. (+345)

v1.5.0

  • Previous versions of jsonpickle with make_refs=False would emit null when encountering an object it had already seen when traversing objects. All instances of the object are now serialized. While this is arguably an improvement in the vast majority of scenarios, it is a change in behavior and is thus considered a minor-level change. (#333) (#334) (#337) (+338)

  • Multiple enums are now serialized correctly with make_refs=False. (#235)

v1.4.2

  • Use importlib.metadata from the stdlib on Python 3.8. (+305) (#303)

  • Micro-optimize type checks to use a set for lookups. (+327)

  • Documentation improvements.

v1.4.1

  • Patch release for Python 3.8 importlib_metadata support. (#300)

v1.4

  • Python 3.8 support. (#292)

  • jsonpickle.encode now supports the standard indent and separators arguments, and passes them through to the active JSON backend library. (#183)

  • We now include a custom handler for array.array objects. (#199)

  • Dict key order is preserved when pickling dictionaries on Python3. (#193)

  • Improved serialization of dictionaries with non-string keys. Previously, using an enum that was both the key and a value in a dictionary could end up with incorrect references to other objects. The references are now properly maintained for dicts with object keys that are also referenced in the dict’s values. (#286)

  • Improved serialization of pandas.Series objects. (#287)

v1.3

  • Improved round tripping of default dicts. (+283) (#282)

  • Better support for cyclical references when encoding with unpicklable=False. (+264)

v1.2

  • Simplified JSON representation for __reduce__ values. (+261)

  • Improved Pandas support with new handlers for more Pandas data types. (+256)

  • Prevent stack overflows caused by bugs in user-defined __getstate__ functions which cause infinite recursion. (+260) (#259)

  • Improved support for objects that contain dicts with Integer keys. Previously, jsonpickle could not restore objects that contained dicts with integer keys and provided getstate only. These objects are now handled robustly. (#247).

  • Support for encoding binary data in base85 instead of base64 has been added on Python 3. Base85 produces payloads about 10% smaller than base64, albeit at the cost of lower throughput. For performance and backwards compatibility with Python 2 the pickler uses base64 by default, but it can be configured to use base85 with the new use_base85 argument. (#251).

  • Dynamic SQLAlchemy tables in SQLAlchemy >= 1.3 are now supported. (#254).

v1.1

  • Python 3.7 collections.Iterator deprecation warnings have been fixed. (#229).

  • Improved Pandas support for datetime and complex numbers. (+245)

v1.0

  • NOTE jsonpickle no longer supports Python2.6, or Python3 < 3.4. The officially supported Python versions are now 2.7 and 3.4+.

  • Improved Pandas and Numpy support. (+227)

  • Improved support for pickling iterators. (+216)

  • Better support for the stdlib json module when simplejson is not installed. (+217)

  • jsonpickle will now output python3-style module names when pickling builtins methods or functions. (+223)

  • jsonpickle will always flatten primitives, even when max_depth is reached, which avoids encoding unicode strings into their u'string' representation. (+207) (#180) (#198).

  • Nested classes are now supported on Python 3. (+206) (#176).

  • Better support for older (pre-1.9) versions of numpy (+195).

v0.9.6

  • Better support for SQLAlchemy (#180).

  • Better support for NumPy and SciKit-Learn. (#184).

  • Better support for dict sub-classes (#156).

v0.9.5

  • Better support for objects that implement the reduce protocol. (+170) This backward-incompatible change removes the SimpleReduceHandler. Any projects registering that handler for a particular type should instead remove references to the handler and jsonpickle will now handle those types directly.

v0.9.4

  • Arbitrary byte streams are now better supported. (#143)

  • Better support for NumPy data types. The Python3 NumPy support is especially robust.

  • Fortran-ordered based NumPy arrays are now properly serialized.

v0.9.3

  • UUID objects can now be serialized (#130)

  • Added set_decoder_options method to allow decoder specific options equal to set_encoder_options.

  • Int keys can be encoded directly by e.g. demjson by passing numeric_keys=True and setting its backend options via jsonpickle.set_encoder_options(‘demjson’, strict=False).

  • Newer Numpy versions (v1.10+) are now supported.

v0.9.2

  • Fixes for serializing objects with custom handlers.

  • We now properly serialize deque objects constructed with a maxlen parameter.

  • Test suite fixes

v0.9.1

  • Support datetime objects with FixedOffsets.

v0.9.0

  • Support for Pickle Protocol v4.

  • We now support serializing defaultdict subclasses that use self as their default factory.

  • We now have a decorator syntax for registering custom handlers, and allow custom handlers to register themselves for all subclasses. (+104)

  • We now support serializing types with metaclasses and their instances (e.g., Python 3 enum).

  • We now support serializing bytestrings in both Python 2 and Python 3. In Python 2, the str type is decoded to UTF-8 whenever possible and serialized as a true bytestring elsewise; in Python 3, bytestrings are explicitly encoded/decoded as bytestrings. Unicode strings are always encoded as is in both Python 2 and Python 3.

  • Added support for serializing numpy arrays, dtypes and scalars (see jsonpickle.ext.numpy module).

v0.8.0

  • We now support serializing objects that contain references to module-level functions. (#77)

  • Better Pickle Protocol v2 support. (#78)

  • Support for string __slots__ and iterable __slots__. (#67) (#68)

  • encode() now has a warn option that makes jsonpickle emit warnings when encountering objects that cannot be pickled.

  • A Javascript implementation of jsonpickle is now included in the jsonpickleJS directory.

v0.7.2

  • We now properly serialize classes that inherit from classes that use __slots__ and add additional slots in the derived class.

  • jsonpickle can now serialize objects that implement __getstate__() but not __setstate__(). The result of __getstate__() is returned as-is when doing a round-trip from Python objects to jsonpickle and back.

  • Better support for collections.defaultdict with custom factories.

  • Added support for queue.Queue objects.

v0.7.1

  • Added support for Python 3.4.

  • Added support for posix.stat_result.

v0.7.0

  • Added handles decorator to jsonpickle.handlers.BaseHandler, enabling simple declaration of a handler for a class.

  • __getstate__() and __setstate__() are now honored when pickling objects that subclass dict.

  • jsonpickle can now serialize collections.Counter objects.

  • Object references are properly handled when using integer keys.

  • Object references are now supported when using custom handlers.

  • Decimal objects are supported in Python 3.

  • jsonpickle’s “fallthrough-on-error” behavior can now be disabled.

  • Simpler API for registering custom handlers.

  • A new “safe-mode” is provided which avoids eval(). Backwards-compatible deserialization of repr-serialized objects is disabled in this mode. e.g. decode(string, safe=True)

v0.6.1

  • Python 3.2 support, and additional fixes for Python 3.

v0.6.0

  • Python 3 support!

  • time.struct_time is now serialized using the built-in jsonpickle.handlers.SimpleReduceHandler.

v0.5.0

  • Non-string dictionary keys (e.g. ints, objects) are now supported by passing keys=True to jsonpickle.encode() and jsonpickle.decode().

  • We now support namedtuple, deque, and defaultdict.

  • Datetimes with timezones are now fully supported.

  • Better support for complicated structures e.g. datetime inside dicts.

  • jsonpickle added support for references and cyclical data structures in 0.4.0. This can be disabled by passing make_refs=False to jsonpickle.encode().

0.4.0

  • Switch build from setuptools to distutils

  • Consistent dictionary key ordering

  • Fix areas with improper support for unpicklable=False

  • Added support for cyclical data structures (#16).

  • Experimental support for jsonlib and py-yajl backends.

  • New contributors David K. Hess and Alec Thomas

Warning

To support cyclical data structures (#16), the storage format has been modified. Efforts have been made to ensure backwards-compatibility. jsonpickle 0.4.0 can read data encoded by jsonpickle 0.3.1, but earlier versions of jsonpickle may be unable to read data encoded by jsonpickle 0.4.0.

0.3.1

  • Include tests and docs directories in sdist for distribution packages.

0.3.0

  • List and set subclasses.

  • Objects with module references.

  • Newstyle classes with __slots__.

  • Objects implementing __setstate__() and __getstate__() (follows the pickle protocol).

  • Improved support for Zope objects via pre-fetch.

  • Support for user-defined serialization handlers via the jsonpickle.handlers registry.

  • Removed cjson support per John Millikin’s recommendation.

  • General improvements to style, including PEP 257 compliance and refactored project layout.

  • Steps towards Python 2.3 and Python 3 support.

  • New contributors Dan Buch and Ian Schenck.

  • Thanks also to Kieran Darcy, Eoghan Murray, and Antonin Hildebrand for their assistance!

0.2.0

  • Support for all major Python JSON backends (including json in Python 2.6, simplejson, cjson, and demjson)

  • Handle several datetime objects using the repr() of the objects (Thanks to Antonin Hildebrand).

  • Sphinx documentation

  • Added support for recursive data structures

  • Unicode dict-keys support

  • Support for Google App Engine and Django

  • Tons of additional testing and bug reports (Antonin Hildebrand, Sorin, Roberto Saccon, Faber Fedor, FirePython, and Joose)

0.1.0

  • Added long as basic primitive (thanks Adam Fisk)

  • Prefer python-cjson to simplejson, if available

  • Major API change, use python-cjson’s decode/encode instead of simplejson’s load/loads/dump/dumps

  • Added benchmark.py to compare simplejson and python-cjson

0.0.5

  • Changed prefix of special fields to conform with CouchDB requirements (Thanks Dean Landolt). Break backwards compatibility.

  • Moved to Google Code subversion

  • Fixed unit test imports

0.0.3

  • Convert back to setup.py from pavement.py (issue found by spidaman)

0.0.2

  • Handle feedparser’s FeedParserDict

  • Converted project to Paver

  • Restructured directories

  • Increase test coverage

0.0.1

Initial release