Dontopedia

snappy

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snappy is high-speed compression algorithm.

77 facts·52 predicates·8 sources·10 in dispute

Mostly:rdf:type(8), has characteristic(5), trade off(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (30)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

hasMemberHas Member(4)

canBeCompressedByCan Be Compressed by(2)

containsContains(2)

developedDeveloped(2)

includesIncludes(2)

inverseOfInverse of(2)

isCompressedByIs Compressed by(2)

memberOfMember of(2)

parentModuleParent Module(2)

comparesCompares(1)

coversCovers(1)

hasImplementationHas Implementation(1)

hasOverheadComparisonHas Overhead Comparison(1)

hasValueHas Value(1)

mentionsEntityMentions Entity(1)

providesProvides(1)

providesBetterCompressionRatioThanProvides Better Compression Ratio Than(1)

recommendedRecommended(1)

wasDeveloperOfWas Developer of(1)

Other facts (71)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

71 facts
PredicateValueRef
Rdf:typeCompression Algorithm[2]
Rdf:typeCompression Algorithm[3]
Rdf:typeCompression Method[4]
Rdf:typePython Module[4]
Rdf:typeCompression Technique[5]
Rdf:typeCompression Algorithm[6]
Rdf:typeCompression Algorithm[7]
Rdf:typeCompression Library[8]
Has CharacteristicExtreme Speed[5]
Has CharacteristicEfficiency[5]
Has CharacteristicVery Fast[7]
Has CharacteristicLow Overhead[7]
Has CharacteristicGood Compression Ratio[7]
Trade OffSpeed[3]
Trade Offspeed over maximum compression ratio[6]
Provides FunctionCompress[4]
Provides FunctionUncompress[4]
Has CharacteristicFast Compression[5]
Has CharacteristicFast Decompression[5]
Applies toplaintext data[6]
Applies toencrypted data[6]
Import Statementimport snappy[6]
Import Statementimport snappy[8]
Suitable forReal Time Applications[6]
Suitable forReal Time Processing[8]
Functioncompress[6]
Functiondecompress[6]
Function Namecompress_data_snappy[8]
Function Namedecompress_data_snappy[8]
Is Aboriginal Personnull[1]
Descriptionhigh-speed compression algorithm[3]
Optimized forspeed over compression ratio[3]
Requires LibraryPython Snappy Library[3]
Inverse ofPython Snappy Library[3]
Installation Requiredtrue[3]
PrioritizesSpeed[3]
De EmphasizesCompression Ratio[3]
ExhibitsTrade Off[3]
Performance CharacteristicHigh Speed[3]
Design PhilosophySpeed Priority[3]
Has AdvantageHigh Speed[3]
Is Used inPython Code Example[4]
Is Implemented bySnappy Module[4]
Is Standard Library Memberfalse[4]
Suitable forReal Time Applications[5]
Developed byGoogle[5]
Designed forReal Time Applications[5]
PurposeSpeed Critical Applications[5]
Algorithm TypeCompression Decompression[5]
DeveloperGoogle[6]
Characteristicfast compression/decompression[6]
Design Goalreal-time applications[6]
Compression Rationot highest[6]
Performancevery fast and efficient[6]
Is Actuallylossless compression[6]
Function Typecompression and decompression[6]
Has DrawbackLower Compression Ratio[7]
Is Optimized forSpeed[7]
Is Suitable forReal Time Processing[7]
Has Cp OverheadLow[7]
Has Memory OverheadLow[7]
Provides Compression RatioReasonable[7]
Is Sufficient forMany Use Cases[7]
Compared toZstandard[7]
Achieves Less Compression Ratio ThanZstandard[7]
Has Python ExampleSnappy Example[8]
Use CaseReal Time Processing[8]
Requires Installationtrue[8]
Lacks Explicit Level Parametertrue[8]
Programming ParadigmModule Level Functions[8]
Api StyleDirect Function Calls[8]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

isAboriginalPersonrosie-reynolds-massacre-connection/qsa-itm6820-ocr-page/dr57971-page-264-79d81a7e0fe0
null
typebeam/64c19636-2a33-4e88-9e9c-2634311fc40e
ex:CompressionAlgorithm
labelbeam/64c19636-2a33-4e88-9e9c-2634311fc40e
snappy
typebeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:CompressionAlgorithm
labelbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
Snappy
descriptionbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
high-speed compression algorithm
optimizedForbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
speed over compression ratio
requiresLibrarybeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:python-snappy-library
inverseOfbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:python-snappy-library
installation-requiredbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
true
prioritizesbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:speed
de-emphasizesbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:compression-ratio
exhibitsbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:trade-off
performanceCharacteristicbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:high-speed
designPhilosophybeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:speed-priority
hasAdvantagebeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:high-speed
tradeOffbeam/6a2198c5-9862-45bd-946a-2f531a3bea1f
ex:speed
typebeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:CompressionMethod
labelbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
Snappy
isUsedInbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:python code example
isImplementedBybeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:snappy module
typebeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:PythonModule
labelbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
snappy
providesFunctionbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:compress
providesFunctionbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
ex:uncompress
isStandardLibraryMemberbeam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
false
typebeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:CompressionTechnique
suitable-forbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:real-time-applications
developed-bybeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:google
has-characteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:fast-compression
has-characteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:fast-decompression
designed-forbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:real-time-applications
purposebeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:speed-critical-applications
algorithm-typebeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:compression-decompression
hasCharacteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:extreme-speed
hasCharacteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
ex:efficiency
typebeam/3822ae61-758a-4752-8012-db5105713c81
ex:CompressionAlgorithm
labelbeam/3822ae61-758a-4752-8012-db5105713c81
Snappy
developerbeam/3822ae61-758a-4752-8012-db5105713c81
ex:google
characteristicbeam/3822ae61-758a-4752-8012-db5105713c81
fast compression/decompression
designGoalbeam/3822ae61-758a-4752-8012-db5105713c81
real-time applications
appliesTobeam/3822ae61-758a-4752-8012-db5105713c81
plaintext data
appliesTobeam/3822ae61-758a-4752-8012-db5105713c81
encrypted data
compressionRatiobeam/3822ae61-758a-4752-8012-db5105713c81
not highest
performancebeam/3822ae61-758a-4752-8012-db5105713c81
very fast and efficient
tradeOffbeam/3822ae61-758a-4752-8012-db5105713c81
speed over maximum compression ratio
importStatementbeam/3822ae61-758a-4752-8012-db5105713c81
import snappy
suitableForbeam/3822ae61-758a-4752-8012-db5105713c81
ex:real-time applications
isActuallybeam/3822ae61-758a-4752-8012-db5105713c81
lossless compression
functionbeam/3822ae61-758a-4752-8012-db5105713c81
compress
functionbeam/3822ae61-758a-4752-8012-db5105713c81
decompress
functionTypebeam/3822ae61-758a-4752-8012-db5105713c81
compression and decompression
typebeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:CompressionAlgorithm
labelbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
Snappy
hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:very-fast
hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:low-overhead
hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:good-compression-ratio
hasDrawbackbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:lower-compression-ratio
isOptimizedForbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:speed
isSuitableForbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:real-time-processing
hasCPOverheadbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:low
hasMemoryOverheadbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:low
providesCompressionRatiobeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:reasonable
isSufficientForbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:many-use-cases
comparedTobeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:zstandard
achievesLessCompressionRatioThanbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d
ex:zstandard
typebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:CompressionLibrary
hasPythonExamplebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:snappy-example
importStatementbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
import snappy
functionNamebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
compress_data_snappy
functionNamebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
decompress_data_snappy
useCasebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:real-time-processing
requiresInstallationbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
true
lacksExplicitLevelParameterbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
true
programmingParadigmbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:module-level-functions
suitableForbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:real-time-processing
apiStylebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe
ex:direct-function-calls

References (8)

8 references
  1. ctx:genes/rosie-reynolds-massacre-connection/qsa-itm6820-ocr-page/dr57971-page-264-79d81a7e0fe0
  2. ctx:claims/beam/64c19636-2a33-4e88-9e9c-2634311fc40e
  3. ctx:claims/beam/6a2198c5-9862-45bd-946a-2f531a3bea1f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6a2198c5-9862-45bd-946a-2f531a3bea1f
      Show excerpt
      - Zlib is a widely used compression library that provides a good balance between compression ratio and speed. - It is part of the Python standard library, so no additional installation is required. 2. **Gzip Compression**: - Gzip
  4. ctx:claims/beam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b8bd6c5a-b3a2-40ca-b785-46f6765bdefe
      Show excerpt
      print(decompressed_data.shape) ``` #### LZ4 Compression ```python import lz4.frame import numpy as np # Example feedback data feedback_data = np.random.rand(10000, 10) # Compress the data compressed_data = lz4.frame.compress(feedback_da
  5. ctx:claims/beam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
      Show excerpt
      Using efficient data compression techniques like Gzip, Zstandard, and Snappy can significantly improve the performance of your model fine-tuning process, even when dealing with encrypted data. By compressing data before encryption, you can
  6. ctx:claims/beam/3822ae61-758a-4752-8012-db5105713c81
  7. ctx:claims/beam/8a976d7f-3a82-4274-a162-d97c7b7d967d
  8. ctx:claims/beam/9b38b599-daec-41e8-b466-0b7f85b88ffe
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9b38b599-daec-41e8-b466-0b7f85b88ffe
      Show excerpt
      - **Slightly Higher Overhead**: While still efficient, Zstd may have slightly higher CPU and memory overhead compared to Snappy. ### Example Usage Here are examples of how to use Snappy and Zstandard in Python for real-time processing: #

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