cyscale

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

Originally a drop-in replacement for py-scale-codec — same scalecodec module name, compiled with Cython — cyscale has since diverged and is no longer drop-in compatible: its decode paths produce plain Python values (int/str/bool/dict/list/tuple/None) directly instead of building ScaleType object trees. See Compatibility with py-scale-codec.

Installation

pip install cyscale

Compatibility with py-scale-codec

cyscale keeps py-scale-codec's module name and most of its API surface, but it is not a drop-in replacement anymore. What diverges:

Plain values, not ScaleTypes. The optimized decode paths — a compiled per-type value decoder used by batch_decode, get_value_decoder, and the extrinsic/call/event fast paths — decode straight to plain Python values. The shapes match what .value (value_serialized) always contained; what's gone is the per-node ScaleType object tree around them. Consumers should work with the returned values directly rather than expecting .value / .value_object wrappers.
value_object fidelity is not guaranteed on fast-pathed types. Where a wrapper object still exists (e.g. a decoded GenericExtrinsic), its value_object may hold plain data instead of nested ScaleType instances.
Nested call_hash is corrected. py-scale-codec computes the hash of a call nested inside batch/sudo/proxy over the call's bytes plus everything after it in the buffer (a get_used_bytes()-mid-decode bug). cyscale hashes exactly the call's own bytes, so nested call_hash values intentionally differ.

The classic object API (create_scale_object(...) / .decode() / .encode()) still exists and remains the fallback for types the value decoder does not cover, so encode paths and exotic types behave as before.

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...`

Development

Day-to-day tasks are wrapped in ./dev.sh (plain POSIX shell; the only tools it uses are uv and git):

./dev.sh build        # regenerate .c for changed .pyx and build extensions in place
./dev.sh rebuild-all  # force-regenerate every extension, restoring diff-noise-only .c files
./dev.sh test         # run the test suite (extra args pass through to pytest)
./dev.sh bench        # run benchmarks/bench.py (extra args pass through)

The generated .c files are committed, so installing from sdist needs no Cython. When a .pyx changes, regenerate its .c with ./dev.sh build and commit both.

Two conventions the script enforces:

Regenerate through setup.py, never the standalone cythonize CLI. setup.py passes relative Extension sources, so the Cython metadata embedded in the committed .c files stays relative ("scalecodec/types.pyx"). The cythonize CLI resolves inputs to absolute paths and would leak a local filesystem layout into the repo.
Only commit .c files whose .pyx actually changed. A forced rebuild re-emits every .c with harmless Cython-output drift; rebuild-all restores any whose source is untouched in git, keeping diffs to the real change set.

The build targets the interpreter of the project venv (.venv), so ./dev.sh test always runs against the freshly built extensions.

License

Apache 2.0 — see LICENSE and NOTICE.

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SHA256	`708b5936ea8d5d3ef7f73580a7a1cacdb6c779b159b7105eac4f3c350254d119`
MD5	`c3d0f060e1d7afd9fb1773fd877f385c`
BLAKE2b-256	`525b81050e19d5bd7e9d23ab029be0b4f7c85d018f0e10c05c041458c17918c6`

Algorithm	Hash digest
SHA256	`35fa85a51b3dae0c7e2c4c7f608e37698f488a4229333c3d2c7cdc548ef31390`
MD5	`74d8cf9354d92b50fb902762f0958979`
BLAKE2b-256	`6b9a4efa472ed95646bd5a735b29df5dbf3ba45c5696f26273a23e799f0bbb8d`

cyscale 0.7.0

cyscale

Installation

Compatibility with py-scale-codec

Performance

Primitives and small types

Large payloads

batch_decode (cyscale-only API)

Examples of different types

Development

License

Project links

Key dates

1 maintainer

Credits

License expression

Requires

Provides Extra

Tags

Classifiers

Download files

Source Distribution

Built Distributions

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Algorithm	Hash digest
SHA256	`582ada237e18657a0ff8813b12e9670115417d3df0a9cb450e97c1bf18678e92`
MD5	`462e8453417972cbdf2925545cb83157`
BLAKE2b-256	`c8cc8559c8beb4b4ca94d6419ed9dca58626e41294f22f21c0b40aa5ce670e54`

Algorithm	Hash digest
SHA256	`499f653b3d3bf0b07a2b95b5be5df57751818c2ae4870de8c8ba500ae1f89bac`
MD5	`eea0b34fdd81c9667627c11062096e04`
BLAKE2b-256	`7c69f6ad5692516911d259310ca812d1fb5504d61115178acdc9a758153a7c2e`

Algorithm	Hash digest
SHA256	`d00c799abd1663aabc509d56cb3b06bfd78e9ae6f40ce095e8e30d60ff19fcc3`
MD5	`51b0225e9b763d7b032c8d321f456da0`
BLAKE2b-256	`60085663ff865d735f74948b85006350dfdd8ace0c136e46c7e8d44263817c4f`

Algorithm	Hash digest
SHA256	`849e8864b7bb91e4b81313cc8abf2618bf11015393bf436bb7b2e70b6c01d550`
MD5	`5acc50b358faad03b1e062992de8aabf`
BLAKE2b-256	`d211c423ea2e45b79890b455d2f05d10ccdacd721e8dd04d08a537d6922b0992`

Algorithm	Hash digest
SHA256	`fb732d72f21411be94faf01e109ac063f88687c926fbff965c6a51f4e875c0ad`
MD5	`eb17e7fdaa74fc310b259f6fab49c04c`
BLAKE2b-256	`2c581dbe7f269a1a07852af63d665987d5c1ff5a46b3254b35d2a87f271a8e59`

Algorithm	Hash digest
SHA256	`ba5a1288e192fdf8c86563d8f0c2c70ecc4871326038bcd951b60a5b4387d21b`
MD5	`c63837957f7da07e96b0061880f704ba`
BLAKE2b-256	`777ed6b0279440906bfd7b1ce223469ffa0ad61680cff854f461d8ce2b5ce6aa`

Algorithm	Hash digest
SHA256	`2681a18fad28f5a4c87445de492019c89a66dd54e6b61a5c21a7441f6e2f4c56`
MD5	`4a85e15e5de9652b0afbba988a1dc4c2`
BLAKE2b-256	`ca412f8a0af597047a23ab09fb6caec58c5e76623442dd1f3291494dd279ebe0`

Algorithm	Hash digest
SHA256	`12e33657befeff0fe51ea31317b16924773a0518fd1c6e22c6ad3a02ca824023`
MD5	`25b61591f88c2f63216d0bad5e926482`
BLAKE2b-256	`d17709004c8ca34ab4fbb5efbef6bf91b70e47c2547655082aeada3ee532f68a`

Algorithm	Hash digest
SHA256	`1e71568407d4abf6e971e4dad1c213f0e935fc21d1bafbbed5a793018d97b543`
MD5	`e3259c7ec29ba25f27ab449ab26fd87c`
BLAKE2b-256	`e30ed71f30e325121f6ed8068d01349f6fded65bd68b7eae0979850502515d1c`

Algorithm	Hash digest
SHA256	`e13f8a1b475812ed4e6dc035e34855b806b2cda37c99734ff4188de442a6487b`
MD5	`a36776f7060d3f3c42e723aae3813d8f`
BLAKE2b-256	`3a92fa1a014a04983ae8a5f74af3a8d59dec09d8bfaf6ecbfcced00836424b3f`