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	`405837f95ef0a0c761e404dfa073a5889709e6be78a2a868f16381accafc754c`
MD5	`883419a0ecb75e7fd6b706c32df32a2d`
BLAKE2b-256	`7b60de5cecd406a0d6fa3646ae32dd35f4e0bf0d3bb0b4047218fc67d8985ed0`

Algorithm	Hash digest
SHA256	`63c97714f2c03be9a270fc8ef0aec00c7bd424d7e91983ae447403480d254ea7`
MD5	`929c0bd8f4d535ca3aca377712df0984`
BLAKE2b-256	`ac83a7a92473e728815bc3c13f3a0002d5fd633778c59aed14092719b62514cf`

cyscale 0.8.0

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	`0772babda83f996cb24dc3baf3b4d9956d2f75095a4eb12e197129629dc9e700`
MD5	`ffc117647a47b8387dbcd94447b268a7`
BLAKE2b-256	`d4a35f8d42c2d516567643406b0d16068000b1e6dfb63a36b8368489d57fbae9`

Algorithm	Hash digest
SHA256	`e97189b9b25b2e91d1f2278840f66aa405515ddb09b90f1c2ca391efcf5c26c0`
MD5	`f6280d9c4eb1e742e4d20679c3ec561c`
BLAKE2b-256	`70c8fafb004b931128027b67b694f4f42a7fa411d1a3591b7bc66bc84a9679fc`

Algorithm	Hash digest
SHA256	`c64cdc14f6f9f4f960be61ccfd07ddc76c1e16d7526f3559dc85fe15f29bc9ef`
MD5	`faf7e68b46045716447085ddc2958d9c`
BLAKE2b-256	`d55f73dfa3925f26358764e93ee1eb6f36c9493403d0f890b8344c073e8f245a`

Algorithm	Hash digest
SHA256	`256e219b239f28afa2c5ffbaa0dc04cc1f02a2e43813c2e29cc97addce0ed458`
MD5	`73997ca20030e4ed863704781ee4bbee`
BLAKE2b-256	`f8407aa652b37b614c2b3fd31c736de9f93f85f62abd2bc3e9bb1093ca363ace`

Algorithm	Hash digest
SHA256	`ce83c5ee4ca0bce0626d840e756990e063ca4c7880e2810d0f3e44a9a0ea1992`
MD5	`cdc8d777d9ef3c4e8f85cab68442e9db`
BLAKE2b-256	`6357c91d7353264b863939be9b711c28990f5d886671cf18c7c16703c1131cf6`

Algorithm	Hash digest
SHA256	`0071caaafaaa292018ae741e0d2d237baeb2c5da0893c07938d9e6505da4cfa6`
MD5	`b7d3ab6c8a5da2b5cac8ea4bb1737c8c`
BLAKE2b-256	`52338624ec28ffcb98a4749be796b950aa69ff2fff7175f75ea04152b093b5a3`

Algorithm	Hash digest
SHA256	`c882cc88c7de19d7b6888989d61661694316eec8df17b9f334344d9b29a115eb`
MD5	`336b0bc58eb1e4d2598fb0003c5aac48`
BLAKE2b-256	`3a2f0d22a4c7df979c7ec2d298538a30efb185fb0db37ef95b940de79b29aa24`

Algorithm	Hash digest
SHA256	`ed993361fc9dab6ad4522e71ac67311f3e272cf984d6140a9ecc0298e4c3929a`
MD5	`76fa6ade2e92b582b2075e533a1cbb81`
BLAKE2b-256	`764ffc7642f823fe30a5bbbdd5fe95c43cce40182f4a1885c403c25c267c4ffa`

Algorithm	Hash digest
SHA256	`f8d6de3db63d8b6fe626f68016bb63e93fe8ada83ee164f9fd3582bd65e52aef`
MD5	`f24e89851fe91c9a08477bb47f1eb4c6`
BLAKE2b-256	`a0febea091a04ac6b2afc245b20d9d95638e11f2b5a5dc04fa4aca5abc1cd989`

Algorithm	Hash digest
SHA256	`49fee8861f95fa731d2abbaff2a043ce5633252c1ae4c17170f6df6dcb7bcb8b`
MD5	`1469d6e156230e065324a8f46d124f9b`
BLAKE2b-256	`4b3d34c30e3dc9a2a708e62f66413e5da4cb404de763460fbfd77a93c0a7ccdf`