cyscale

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Cython-accelerated SCALE codec library for Substrate-based blockchains (Polkadot, Kusama, Bittensor, etc.), with no external runtime dependencies.

A drop-in replacement for py-scale-codec: same scalecodec module name and public API, but compiled with Cython for improved throughput.

Installation

pip install cyscale

Performance

Benchmarked on Apple M-series (Python 3.13) against py-scale-codec 1.2.12. All timings are µs per call; speedup = py ÷ cy.

Primitives and small types

Benchmark py (µs) cy (µs) speedup
u8 decode 3.01 1.69 1.78×
u16 decode 2.99 1.80 1.66×
u32 decode 3.11 1.83 1.70×
u64 decode 3.09 1.79 1.73×
u128 decode 2.91 1.84 1.58×
Compact decode 9.59 6.90 1.39×
bool decode 2.93 1.61 1.82×
H256 decode 2.93 1.66 1.76×
AccountId decode (SS58 format 42) 11.45 4.31 2.66×
Str decode 12.89 8.58 1.50×
(u32, u64, bool) decode 21.96 8.36 2.63×
u32 encode 2.34 1.50 1.57×
u64 encode 2.33 1.55 1.50×
Compact encode 8.85 6.36 1.39×
H256 encode 2.47 1.42 1.74×

Large payloads

Benchmark py (µs) cy (µs) speedup
Vec decode (64 elements) 224.20 20.88 10.74×
Vec decode (1,024 elements) 3217.32 147.21 21.85×
Vec decode (16,384 elements) 50396.95 2150.86 23.43×
Bytes decode (1 KB) 14.67 9.99 1.47×
Bytes decode (64 KB) 64.15 63.30 1.01×
Bytes decode (512 KB) 379.99 429.74 0.88×
Vec decode (5 events, V10) 301.10 131.81 2.28×
MetadataVersioned decode (V10, 85 KB) 64958.83 35936.30 1.81×
MetadataVersioned decode (V13, 219 KB) 143029.99 81044.60 1.76×
MetadataVersioned decode (V14, 300 KB) 390902.34 185823.12 2.10×
Bittensor metadata + portable registry (254 KB) 443089.47 211343.83 2.10×

Primitives and small types see ~2.0–2.6× speedup. Large metadata decoding sees ~2.1–2.3× speedup — the gain compounds across thousands of recursive decode calls. Raw bulk byte operations (Bytes/Vec<u8>) above ~64 KB are dominated by memcpy and see a reduced ~1.3–1.4× speedup.

AccountId with SS58 encoding shows a 1.87× speedup — the SS58 encoding itself (ss58_encode) is pure Python and limits gains in that path.

batch_decode (cyscale-only API)

batch_decode(type_strings, bytes_list) amortises Python dispatch overhead across a list of decodes. The baseline below is a py-scale-codec decode loop, which is the equivalent operation without this API. Note: bt_decode is excluded from this comparison because it does not perform SS58 encoding — including it without that post-processing step would be unfair.

Benchmark py loop (µs) cy batch (µs) speedup
batch_decode AccountId ×10 116.66 19.36 6.03×
batch_decode AccountId ×100 1159.47 190.19 6.10×
batch_decode AccountId ×1,000 11530.59 1888.99 6.10×
Mixed (AccountId/u32/u128) ×100 599.73 71.42 8.40×

To reproduce, run:

# save a py-scale-codec baseline
python benchmarks/bench.py --save-baseline benchmarks/baseline_py.json

# compare against cy-scale-codec
PYTHONPATH=. python benchmarks/bench.py --compare benchmarks/baseline_py.json

Examples of different types

Type Description Example SCALE decoding value SCALE encoded value
bool Boolean values are encoded using the least significant bit of a single byte. True 0x01
u16 Basic integers are encoded using a fixed-width little-endian (LE) format. 42 0x2a00
Compact A "compact" or general integer encoding is sufficient for encoding large integers (up to 2**536) and is more efficient at encoding most values than the fixed-width version. 1 0x04
Vec A collection of same-typed values is encoded, prefixed with a compact encoding of the number of items, followed by each item's encoding concatenated in turn. [4, 8, 15, 16, 23, 42] 0x18040008000f00100017002a00
str, Bytes Strings are Vectors of bytes (Vec<u8>) containing a valid UTF8 sequence. "Test" 0x1054657374
AccountId An SS58 formatted representation of an account. "5GDyPHLVHcQYPTWfygtPYeogQjyZy7J9fsi4brPhgEFq4pcv" 0xb80269ec...
Enum A fixed number of variants, each mutually exclusive. Encoded as the first byte identifying the index of the variant. {'Int': 8} 0x002a
Struct For structures, values are named but that is irrelevant for the encoding (only order matters). {"votes": [...], "id": 4} 0x04b80269...

License

Apache 2.0 — see LICENSE and NOTICE.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.8.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bdhimes from gravatar.com bdhimes

Credits

Author: BD Himes

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10

Provides Extra

test cython requests

Tags

scale codec polkascan polkadot substrate blockchain kusama cython bittensor

Classifiers

Report project as malware

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