neatjson 0.10.8

Pretty-print your JSON with more power than json.dumps provides.

NeatJSON for Python

Pretty-print your JSON in Python with more power than json.dumps provides.

See the main project README for full documentation.

Installation

pip install neatjson

Quick Start

from neatjson import neat_json

data = {"b": 42.005, "a": [42, 17], "longer": True, "str": "yes\nplease"}

# Compact output (default)
print(neat_json(data))
# {"b":42.005,"a":[42,17],"longer":true,"str":"yes\nplease"}

# Sorted keys
print(neat_json(data, sort=True))
# {"a":[42,17],"b":42.005,"longer":true,"str":"yes\nplease"}

# Wrapped with indentation
print(neat_json(data, sort=True, wrap=40))
# {
#   "a":[42,17],
#   "b":42.005,
#   "longer":true,
#   "str":"yes\nplease"
# }

Python-Specific Features

The following Python types are automatically handled:

• Tuples, sets, and frozensets are serialized as JSON arrays
• Other iterables (range, deque, generators, etc.) are serialized as arrays
• namedtuple instances are serialized as JSON objects (using field names as keys)
• dataclasses are serialized as JSON objects
• Enum values are serialized using their .value
• Decimal and Fraction are serialized as JSON numbers
• Objects with a __json__() method will have that method called for serialization

Development

cd python
pip install -e ".[dev]"
pytest