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This document provides a comprehensive comparison between the Python py-multihash implementation and equivalent implementations in Go, Rust, and JavaScript. The analysis identifies feature gaps, API differences, and areas where the Python implementation could be enhanced to achieve feature parity with other implementations.
Key Findings:
Python provides basic encode/decode functionality but lacks actual hash computation capabilities
Go offers the most complete feature set including hash computation, streaming, and extensibility
Rust uses const generics for compile-time size validation and provides type-safe multihash operations
JavaScript offers modern async/sync APIs with first-class digest types
# NOT SUPPORTED - No hash computation# Must use external libraries (hashlib, etc.) and then encodeimporthashlibdigest=hashlib.sha256(data).digest()
mh=encode(digest, "sha2-256")
// Validation via decodeconstdigest=Digest.decode(bytes);// Throws if invalid// Type checkingif(digestHasCode(digest,sha256.code)){// TypeScript knows digest is MultihashDigest<0x12>}
Hash Function Support
Python (py-multihash)
Status: Constants defined, but no actual hash computation
The Python implementation defines hash codes in constants.py but does not provide hash computation. Users must use external libraries like hashlib and then encode the result.
Defined Hash Functions:
Identity (0x00)
SHA1 (0x11)
SHA2-256 (0x12)
SHA2-512 (0x13)
SHA3 variants (0x14-0x17)
SHAKE (0x18-0x19)
Keccak (0x1a-0x1d)
Murmur3 (0x22-0x23)
Blake2b (0xb201-0xb240) - all sizes
Blake2s (0xb241-0xb260) - all sizes
Skein256/512/1024 (0xb301-0xb3e0) - all sizes
Double SHA2-256 (0x56)
Go (go-multihash)
Status: Full hash computation support with extensible registry
Pre-registered Hash Functions:
Identity (0x00)
MD5 (0xd5)
SHA1 (0x11)
SHA2-224, SHA2-256, SHA2-384, SHA2-512
SHA2-512/224, SHA2-512/256
SHA3-224, SHA3-256, SHA3-384, SHA3-512
SHAKE-128, SHAKE-256
Keccak-224, Keccak-256, Keccak-384, Keccak-512
Blake2b (all sizes via register/blake2)
Blake2s (all sizes via register/blake2)
Blake3 (0x1e) - variable size
Murmur3-x64-64 (0x22)
Double SHA2-256 (0x56)
SHA2-256-trunc254-padded (0x1012)
X11 (0x1100)
Poseidon-BLS12-381 (0xb401)
Extensibility: Can register custom hashers via Register() or RegisterVariableSize()
Rust (rust-multihash)
Status: Core crate is hash-agnostic; codetable crate provides implementations
Core Crate: Only defines data structure, no hash computation
Add comprehensive type hints for better IDE support
Use typing module for generic types
Add Serialization Support
Optional JSON serialization
Support for other formats (MessagePack, etc.)
Implementation Examples
Example: Adding Hash Computation
importhashlibfromtypingimportUnion, Optionaldefsum(data: bytes, code: Union[int, str], length: Optional[int] =None) ->bytes:
""" Compute a multihash for the given data. Args: data: Input data to hash code: Hash function code (int) or name (str) length: Optional length to truncate to (default: full digest) Returns: Encoded multihash bytes """hash_code=coerce_code(code)
# Map codes to hashlib functionshasher_map= {
0x11: lambda: hashlib.sha1(),
0x12: lambda: hashlib.sha256(),
0x13: lambda: hashlib.sha512(),
# Add more mappings...
}
ifhash_codenotinhasher_map:
raiseValueError(f"Hash computation not supported for code {hash_code}")
hasher=hasher_map[hash_code]()
hasher.update(data)
digest=hasher.digest()
iflengthisnotNone:
iflength>len(digest):
raiseValueError(f"Length {length} exceeds digest size {len(digest)}")
digest=digest[:length]
returnencode(digest, hash_code, len(digest))
Example: Adding Streaming Support
fromtypingimportBinaryIO, Union, Optionaldefsum_stream(stream: BinaryIO, code: Union[int, str], length: Optional[int] =None) ->bytes:
""" Compute a multihash from a stream. Args: stream: File-like object to read from code: Hash function code (int) or name (str) length: Optional length to truncate to Returns: Encoded multihash bytes """hash_code=coerce_code(code)
hasher_map= {
0x11: lambda: hashlib.sha1(),
0x12: lambda: hashlib.sha256(),
0x13: lambda: hashlib.sha512(),
}
ifhash_codenotinhasher_map:
raiseValueError(f"Hash computation not supported for code {hash_code}")
hasher=hasher_map[hash_code]()
# Read in chunks for memory efficiencychunk_size=8192whileTrue:
chunk=stream.read(chunk_size)
ifnotchunk:
breakhasher.update(chunk)
digest=hasher.digest()
iflengthisnotNone:
iflength>len(digest):
raiseValueError(f"Length {length} exceeds digest size {len(digest)}")
digest=digest[:length]
returnencode(digest, hash_code, len(digest))
Conclusion
The Python py-multihash implementation provides solid foundational functionality for encoding and decoding multihashes, but lacks several key features present in other implementations:
Hash computation - The most critical gap
Streaming support - Important for large files
Extensibility - Needed for custom hash functions
Advanced features - Truncation, collections, serialization
By implementing the Priority 1 and Priority 2 recommendations, py-multihash would achieve feature parity with the Go implementation for most use cases. The Priority 3 features would bring it closer to the Rust and JavaScript implementations in terms of developer experience and type safety.
The current implementation is well-suited for applications that already compute hashes externally and only need multihash encoding/decoding. However, adding hash computation capabilities would make it a more complete and user-friendly library.
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Multihash Implementation Comparison
Executive Summary
This document provides a comprehensive comparison between the Python
py-multihashimplementation and equivalent implementations in Go, Rust, and JavaScript. The analysis identifies feature gaps, API differences, and areas where the Python implementation could be enhanced to achieve feature parity with other implementations.Key Findings:
Feature Comparison Table
encode()Encode(),EncodeName()Multihash::wrap()Digest.create()decode()Decode(),Cast()Multihash::from_bytes()Digest.decode()is_valid()Cast()from_bytes()(validates)decode()(validates)Sum(),SumStream()Hasher.digest()SumStream()io::Readdigest()RegisterVariableSize()to_hex_string(),from_hex_string()HexString(),FromHexString()to_b58_string(),from_b58_string()B58String(),FromB58String()Multihash(namedtuple)Multihash([]byte),DecodedMultihashMultihash<const S>MultihashDigest<Code>SettypeRegister(),RegisterVariableSize()Hasher.from()GetHasher()serdefeaturescale-codecfeatureSum()length paramtruncate()methodtruncateoptionresize()methodget_prefix()is_valid_code(),coerce_code()Names,Codesmapsis_app_code()ErrInconsistentLen, etc.ErrorenumReader.ReadMultihash()Multihash::read()Writer.WriteMultihash()Multihash::write()API Comparison
Core Encoding/Decoding
Python
Go
Rust
JavaScript
Hash Computation
Python
Go
Rust
JavaScript
String Encoding
Python
Go
Rust
// Not built-in - use external crates for base encodingJavaScript
// Not built-in - use multibase for encodingValidation and Utilities
Python
Go
Rust
JavaScript
Hash Function Support
Python (py-multihash)
Status: Constants defined, but no actual hash computation
The Python implementation defines hash codes in
constants.pybut does not provide hash computation. Users must use external libraries likehashliband then encode the result.Defined Hash Functions:
Go (go-multihash)
Status: Full hash computation support with extensible registry
Pre-registered Hash Functions:
Extensibility: Can register custom hashers via
Register()orRegisterVariableSize()Rust (rust-multihash)
Status: Core crate is hash-agnostic; codetable crate provides implementations
Core Crate: Only defines data structure, no hash computation
Codetable Crate (via features):
sha1)sha2)sha3)sha3)blake2b)blake2s)blake3)strobe)ripemd)Extensibility: Can define custom code tables via
multihash-derivemacroJavaScript (js-multiformats)
Status: Provides hasher implementations with sync/async support
Implemented Hashers:
Extensibility: Can create custom hashers via
Hasher.from()factoryMissing Hash Functions in Python
The following hash functions are supported in other implementations but missing from Python's constants table:
Missing from Go Implementation
0xd50x10130x200x10140x10150x1e0x10120x11000xb401Missing from Rust Implementation
0x1053ripemd)0x1054ripemd)0x1055ripemd)0x3312e7strobe)0x3312e8strobe)Summary
Total missing hash functions: 14
By category:
Note: Python has some hash functions that others don't include by default:
0xb301-0xb3e0) - Available in Python but not in Go/Rust standard implementationsGap Analysis
Summary of Missing Features in py-multihash
The following features are available in other implementations but missing in Python:
Sum())SumStream())Critical Gaps in py-multihash
1. No Hash Computation
Impact: High - Users must manually compute hashes using external libraries
Missing:
Sum()equivalent to compute hashes directlySumStream()for streaming hash computationhashlibor other hash librariesWorkaround:
Recommendation: Add
sum()andsum_stream()functions that integrate withhashliband other common Python hash libraries.2. No Extensibility Mechanism
Impact: Medium - Cannot register custom hash functions
Missing:
Register()equivalent to add custom hashersGetHasher()to retrieve hasher by codeRecommendation: Add a registry system similar to Go's implementation, allowing users to register custom hash functions.
3. No Streaming Support
Impact: Medium - Cannot efficiently hash large files/streams
Missing:
SumStream()for hashing from file-like objectsRecommendation: Add
sum_stream()that accepts file-like objects and uses incremental hashing.4. Limited Data Structures
Impact: Low - Missing utility collections
Missing:
Settype for multihash collections (like Go)Recommendation: Add optional
MultihashSetclass for managing collections of multihashes.5. No Truncation Support
Impact: Low - Cannot truncate digests during encoding
Missing:
encode()or separate truncate functionRecommendation: Add
truncate()method or truncate parameter toencode().6. No Serialization Support
Impact: Low - Cannot serialize multihashes to JSON/other formats
Missing:
Recommendation: Add optional serialization support using standard Python serialization libraries.
Minor Gaps
7. No Type Safety
8. Limited Error Types
ValueErrorandTypeError9. No Async Support
Recommendations
Priority 1: Critical Features
Add Hash Computation
sum(data, code, length=-1)functionhashlibstandard libraryAdd Streaming Support
sum_stream(stream, code, length=-1)functionPriority 2: Important Features
Add Extensibility
register(code, hasher_factory)functionget_hasher(code)functionAdd Truncation Support
truncate()method or parameterPriority 3: Nice-to-Have Features
Add Utility Collections
MultihashSetclassImprove Error Handling
Add Type Hints
typingmodule for generic typesAdd Serialization Support
Implementation Examples
Example: Adding Hash Computation
Example: Adding Streaming Support
Conclusion
The Python
py-multihashimplementation provides solid foundational functionality for encoding and decoding multihashes, but lacks several key features present in other implementations:By implementing the Priority 1 and Priority 2 recommendations,
py-multihashwould achieve feature parity with the Go implementation for most use cases. The Priority 3 features would bring it closer to the Rust and JavaScript implementations in terms of developer experience and type safety.The current implementation is well-suited for applications that already compute hashes externally and only need multihash encoding/decoding. However, adding hash computation capabilities would make it a more complete and user-friendly library.
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