About
This library provides encoding and decoding for the Concise Binary Object Representation (CBOR) (RFC 8949) serialization format. The specification is fully compatible with the original RFC 7049. Read the docs to learn more.
It is implemented in Rust.
Features
Simple API like the json or pickle modules
Support many CBOR tags with stdlib objects
Generic tag decoding
Shared value references including cyclic references
String references compact encoding with repeated strings replaced with indices
Extensible tagged value handling using tag_hook and object_hook on decode and default on encode.
Command-line diagnostic tool (python -m cbor2.tool or just cbor2)
Can convert a CBOR file or stream to JSON (lossy conversion, for diagnostics only)
Can convert a JSON to binary CBOR (with --format=json)
Thorough test suite (Tested on big- and little-endian architectures)
Installation
The simplest way to install the library is with pip:
pip install cbor2
If this fails, see the next section.
Build requirements
If you wish to compile the code yourself, or are installing on a yet unsupported Python version or platform where there are no wheels available, you need the following pre-requisites:
Python >= 3.10 (or PyPy3 3.11+)
Rust toolchain (tested with v1.93.0)
Usage
Command-line Usage
The provided command line tool (cbor2) converts CBOR data in raw binary or base64 encoding into a representation that allows printing as JSON. This is a lossy transformation as each datatype is converted into something that can be represented as a JSON value.
The tool can alternatively be invoked with python -m cbor2.tool.
Usage:
# Pass hexadecimal through xxd.
$ echo a16568656c6c6f65776f726c64 | xxd -r -ps | cbor2 --pretty
{
"hello": "world"
}
# Decode Base64 directly
$ echo ggEC | python -m cbor2.tool --decode
[1, 2]
# Read from a file encoded in Base64
$ python -m cbor2.tool -d tests/examples.cbor.b64
{...}
It can be used in a pipeline with json processing tools like jq to allow syntax coloring, field extraction and more.
CBOR data items concatenated into a sequence can be decoded also:
$ echo ggECggMEggUG | cbor2 -d --sequence [1, 2] [3, 4] [5, 6]
Multiple files can also be sent to a single output file:
$ cbor2 -o all_files.json file1.cbor file2.cbor ... fileN.cbor
To encode a JSON document as binary CBOR, select the JSON input format:
$ cbor2 --format=json -o output.cbor input.json
$ echo '{"hello": "world"}' | python -m cbor2.tool --format=json > output.cbor
Each input file (or standard input, -) must contain one complete JSON value, which may be an object, array or scalar. Multiple input files produce concatenated CBOR items in the given order. Output is raw binary, with no added separators or newlines. JSON is read with Python’s json module, then encoded using the normal cbor2.dump defaults. Diagnostic strings representing CBOR-specific types are encoded as strings; this does not reverse the lossy diagnostic conversion.
The --decode, --pretty, --sort-keys, --sequence and --tag-ignore options apply only to CBOR input and cannot be combined with --format=json.
Security
This library has not been tested against malicious input. In theory it should be as safe as JSON, since unlike pickle the decoder does not execute any code.
1 maintainer
Metadata
1 maintainer
Release files for cbor2 6.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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|---|---|---|---|---|
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Built distributions (wheels)
Total release size: 27.1 MB
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Transparency logSecurity for cbor2 6.3.0
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