Python IPLD
This project aims to speed up The AT Protocol SDK by using Rust for the heavy lifting. Only atproto related parts are implemented first.
Code snippet:
import libipld
# CID
print(libipld.decode_cid('bafyreig7jbijxpn4lfhvnvyuwf5u5jyhd7begxwyiqe7ingwxycjdqjjoa'))
# Output: {'hash': {'size': 32, 'code': 18, 'digest': b'\xdfHP\x9b\xbd\xbcYOV\xd7\x14\xb1{N\xa7\x07\x1f\xc2C^\xd8D\t\xf44\xd6\xbe\x04\x91\xc1)p'}, 'version': 1, 'codec': 113}
print(libipld.encode_cid(bytes.fromhex('01711220b6811a1d7f8c1791da6d1b4f136dc0e22679eafeaa58d64d7e2faad5890e9d9c')))
# Output: bafyreifwqenb274mc6i5u3i3j4jw3qhcez46v7vkldle27rpvlkysdu5tq
# DAG-CBOR
print(libipld.decode_dag_cbor(b'\xa2aa\x0cabfhello!'))
# Output: {'a': 12, 'b': 'hello!'}
print(libipld.encode_dag_cbor({'a': 12, 'b': 'hello!'}))
# Output: b'\xa2aa\x0cabfhello!'
# multibase
print(libipld.decode_multibase('ueWVzIG1hbmkgIQ'))
# Output: ('u', b'yes mani !')
print(libipld.encode_multibase('u', b'yes mani !'))
# Output: ueWVzIG1hbmkgIQ
Features
🔗 CID (Content Identifier) Operations
decode_cid(data: str | bytes) -> dict[str, Any]- Decode CIDs from string representation (e.g.,'bafy...') or raw bytes into structured data containing version, codec, and hash informationencode_cid(data: str | bytes) -> str- Encode CID raw bytes to string representation, or return string CIDs as-is
📦 DAG-CBOR (Directed Acyclic Graph CBOR) Operations
decode_dag_cbor(data: bytes) -> Any- Decode DAG-CBOR binary data into Python objects (dicts, lists, primitives)decode_dag_cbor_multi(data: bytes) -> list[Any]- Decode multiple concatenated DAG-CBOR objects from a single byte streamencode_dag_cbor(data: Any) -> bytes- Encode Python objects into DAG-CBOR binary format
🌐 Multibase Operations
decode_multibase(data: str) -> tuple[str, bytes]- Decode multibase-encoded strings, returning the base identifier and decoded dataencode_multibase(code: str, data: str | bytes) -> str- Encode data using specified multibase encoding (e.g.'u'for base64url)
🚗 CAR (Content Addressable Archives) Operations
decode_car(data: bytes) -> tuple[dict[str, Any], dict[bytes, dict[str, Any]]]- Decode CAR files into header metadata and a mapping of CID bytes to block data
Error handling
Every function raises ValueError for input it cannot decode or encode. The message starts with the failing operation (for example Failed to read CAR block.) followed by the reason.
The DAG-CBOR and CAR functions additionally raise RecursionError when the data is nested deeper than sys.getrecursionlimit().
Inputs are validated strictly against the specifications. There is no option to skip validation or accept partially broken data. Data produced by third-party encoders is not always valid, so consumers of untrusted input (for example the AT Protocol firehose) should be prepared to catch ValueError per message and skip it.
import libipld
try:
header, blocks = libipld.decode_car(data)
except ValueError as e:
print(f'skipping malformed CAR: {e}')
except RecursionError:
print('skipping CAR with excessively nested block')
Passing a value of the wrong type, such as a str where bytes is expected, raises TypeError.
Requirements
- Python 3.8 or higher.
Prebuilt wheels are published for CPython 3.8-3.15, free-threaded CPython 3.14t and 3.15t, and PyPy 3.11.
Installing
You can install or upgrade libipld via
pip install -U libipld
Performance
Benchmarks against cbrrr (C), py-ipld-dag (Python wrapper over Rust-backed cbor2) and dag_cbor (pure Python), measured on the four classic nativejson-benchmark fixtures (round-tripped through DAG-CBOR). Bars are operations/second relative to pure-Python dag_cbor; higher is better.
Measured on Apple M1, macOS 27, CPython 3.14.0, libipld installed from PyPI (PGO + LTO wheel).
Deserialization
Serialization
Reproduce locally:
cd benchmark && ./run.sh
See benchmark/README.md for details.
Changelog
See CHANGES.md for release notes.
Contributing
Contributions of all sizes are welcome. See CONTRIBUTING.md for setup, build, test, and benchmarking workflow.
License
MIT – see LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for libipld 3.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| libipld-3.5.0.tar.gz | 4.6 MB | Details |
Built distributions (wheels)
Total release size: 43.5 MB
Release files / libipld-3.5.0.tar.gz
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| Tags | Source |
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