btoon for Python
Python bindings for BTOON, a compact binary serialization format: MessagePack plus a columnar encoding for lists of uniform dicts, with timestamps, arbitrary-size integers, float vectors and optional compression/signing. It runs on the C++ reference implementation (btoon-core) and implements spec 0.2.
pip install btoon
Quick start
import btoon
rows = [{"id": i, "name": f"user{i}", "email": f"u{i}@example.com", "active": i % 2 == 0} for i in range(1000)]
data = btoon.encode(rows) # bytes; tables are stored column by column
assert btoon.decode(data) == rows
packed = btoon.encode(rows, compress=True) # zlib envelope, detected on decode
signed = btoon.encode(rows, hmac_key=b"32 bytes of secret key material!")
btoon.decode(signed, hmac_key=b"32 bytes of secret key material!")
Why
For record-shaped data the column layout skips repeating keys. Measured with Python 3.13
on an Apple M4 Max, 10,000 records (id, name, email, age, score, active), best
of 7:
| Size | Encode | Decode | |
|---|---|---|---|
json |
1,138 KB | 4.16 ms | 3.68 ms |
msgpack 1.2 (C extension) |
767 KB | 1.81 ms | 3.20 ms |
btoon |
447 KB | 0.77 ms | 3.15 ms |
For data that isn't tabular (nested and irregular), BTOON is byte-for-byte canonical MessagePack, and its speed is close to msgpack's: 2.54 ms encode / 4.95 ms decode vs 2.42 / 4.32 ms on a comparable dataset. Sizes and timings depend on your data. Measure with your own.
Types
| Python → BTOON → Python | Notes |
|---|---|
None, bool, float, str |
float is always float64; NaN, ±inf and -0.0 are kept |
int |
Any size. Outside 64 bits it uses the bigint extension. |
bytes, bytearray, memoryview → bytes |
|
list, tuple → list |
Lists of dicts with identical keys go tabular automatically when that is smaller |
dict (str keys) → dict |
Keys are written in sorted (UTF-8 byte) order |
datetime → aware datetime |
Naive values are taken as UTC. Decoding has microsecond precision. |
btoon.Timestamp |
Nanosecond precision and an optional UTC offset. decode(..., timestamps="object") |
array.array('f'/'d'), 1-D float32/float64 numpy arrays → array.array |
Packed float vectors, e.g. embeddings. Use vectors="list" or "numpy" to change the result type. |
btoon.ExtType(code, data) |
Any other extension type. Codes -1 to -6 and -10 are BTOON's own types, written from the types above: encoding them raw raises BtoonError (invalid_argument). |
Other objects raise TypeError unless you pass default= (like json.dumps):
btoon.encode(obj, default=lambda o: o.__dict__)
Self-referencing structures raise btoon.BtoonError(code="max_depth") instead of
crashing.
Options
btoon.encode(obj, *, compress=False, compression="zlib", auto_tabular=True,
max_depth=128, hmac_key=None, default=None)
btoon.decode(data, *, strict=True, max_depth=128, max_decompressed_size=64 * 2**20,
max_values=2**20, auto_decompress=True, hmac_key=None,
timestamps="datetime", vectors="array")
btoon.compression_available("zstd") # zlib is always available
max_depth is at most 1000. hmac_key=None means no key. An empty key raises
BtoonTypeError (code invalid_argument) instead of turning signing or verification off.
Untrusted input
decode is safe on hostile bytes. It is bounds-checked and depth-limited, it never
allocates more than the input justifies, it caps decompression, and in strict mode it
rejects invalid UTF-8, duplicate keys and trailing data. Map keys and column names must be
valid UTF-8 even with strict=False.
Two limits bound the memory a document can claim (spec §7.1):
max_decompressed_size(64 MiB by default) caps what a compression envelope expands to, and the column-name bytes a table copies into its rows (rows × total name length).max_values(2**20 = 1,048,576 by default) caps how many values a document decodes to. The top-level value, every list item and dict value, and every table row and cell count once. Dict keys don't count.
Going over either raises size_limit. Raise them to decode bigger documents, and keep the
defaults (or lower them) for untrusted input. Every failure raises btoon.BtoonError (a
ValueError) whose .code is one of the spec's error codes:
try:
btoon.decode(payload, max_depth=32, max_decompressed_size=4 << 20, max_values=100_000)
except btoon.BtoonError as e:
print(e.code, e) # e.g. "truncated unexpected end of input (at byte 7)"
Parsing during decode, and compression and signing during encode, run with the GIL
released, so other threads keep running. Converting to and from Python objects holds
the GIL.
Interoperability
Output with auto_tabular=False is canonical MessagePack. Any MessagePack library can
read it, and btoon.decode reads any MessagePack whose map keys are strings, including
MessagePack timestamps. With tabular encoding on, generic MessagePack decoders see each
table as an opaque extension (type -10). The same bytes decode identically in the
Node.js,
JavaScript,
Go and
PHP libraries.
Building from source
git clone --recursive https://github.com/BTOON-project/btoon-python
cd btoon-python
pip install ".[test]" && pytest
You need a C++20 compiler and CMake ≥ 3.20 (pip fetches scikit-build-core and pybind11).
zlib comes from the system, except on Windows, where it is compiled in. When developing
next to a btoon-core checkout, the build picks up ../btoon-core automatically if
core/ is empty. You can also point it elsewhere with BTOON_CORE_DIR=/path/to/btoon-core.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for btoon 0.2.0
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Attestation for btoon-0.2.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 13, 2026.
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