pylite3
Fast, Zero-Copy Python bindings for lite3.
pylite3 provides high-performance access to lite3 formatted data. It follows the lazy-parsing philosophy (similar to pysimdjson or simdjson), allowing you to access specific fields in large documents instantly without paying the cost of full deserialization.
Data is read directly from the underlying memory buffer—Zero Copy.
🚀 Key Features
- Zero-Copy Loading: Creates a proxy object in microseconds, regardless of document size.
- Lazy Access: Values are only materialized to Python objects when you ask for them.
- Memory Safe: Automatically manages the lifetime of the underlying buffer using Python's reference counting.
- Pythonic API: Works like a
dict(keys/values/items) orlist(slicing/indexing), but faster. - Native Hooks: Supports
object_hook,default, and more for custom serialization/deserialization. - Recursive Writers: Includes a
dumps()function to serialize complex nested Python structures intolite3.
⚡ Benchmarks
Comparison vs pysimdjson for initial load time. Because pylite3 is lazy, it returns control to your program immediately.
| Dataset | Size | pysimdjson (Parse) | pylite3 (Lazy) | Speedup |
|---|---|---|---|---|
| canada.json | 2.25 MB | 68,768 µs | 5.7 µs | 12,047x |
| citm_catalog.json | 1.72 MB | 49,471 µs | 3.6 µs | 13,803x |
| twitter.json | 631 KB | 24,189 µs | 2.0 µs | 12,354x |
See Functionality & Performance for more details.
📦 Installation
Requires a C compiler and Python 3.9+.
# Using uv (Recommended)
uv pip install pysimdjson
# Build from source
git clone --recurse-submodules https://github.com/fastserial/pylite3.git
cd pylite3
# If you already cloned without submodules:
git submodule update --init --recursive
uv pip install -e .
🛠 Usage
Reading Data
import pylite3
# Assume 'data' is bytes containing encoded lite3 data
obj = pylite3.loads(data)
# Access fields instantly
print(obj["users"][0]["name"]) # 'John Doe'
# Check types without converting
if obj["metadata"].is_object:
print("Metadata found")
# Iterate object keys (new!)
for key in obj["users"][0]:
print(f"User key: {key}")
# Slicing support (new!)
first_two_users = obj["users"][:2]
# Convert to standard dictionary
user_dict = dict(obj["users"][0]) # or .as_dict()
Writing Data
import pylite3
payload = {
"id": 12345,
"features": ["lazy", "fast"],
"meta": {"version": 2.0}
}
# Serialize to bytes
encoded_bytes = pylite3.dumps(payload)
📚 Documentation
🤝 Contributing
Contributions are welcome! Please check the Makefile for useful development commands.
make install # Install dependencies
make build # Compile extension
make benchmark # Run verification
make test # Run E2E tests
make coverage # Generate coverage report
1 maintainer
Metadata
1 maintainer
Release files for pylite3 0.0.1
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