Awesome
cramjam
Install
pip install --upgrade cramjam # Requires no Python or system dependencies!
CLI
A CLI interface is available as cramjam-cli
libcramjam
A Rust crate and C friendly library available at libcramjam
Extremely thin and easy-to-install Python bindings to de/compression algorithms in Rust. Allows for using algorithms such as Snappy, without any system or other python dependencies.
Benchmarks
Some basic benchmarks are available in the benchmarks directory
Available algorithms:
- Snappy
cramjam.snappy
- Brotli
cramjam.brotli
- Bzip2
cramjam.bzip2
- Lz4
cramjam.lz4
- Gzip
cramjam.gzip
- Zlib
cramjam.zlib
- Deflate
cramjam.deflate
- ZSTD
cramjam.zstd
- XZ / LZMA
cramjam.xz
- Blosc2
cramjam.experimental.blosc2
- ISA-L backend (only on 64-bit targets)
- igzip
cramjam.experimental.igzip
- ideflate
cramjam.experimental.ideflate
- izlib
cramjam.experimental.izlib
- igzip
All available for use as:
>>> import cramjam
>>> import numpy as np
>>> compressed = cramjam.snappy.compress(b"bytes here")
>>> decompressed = cramjam.snappy.decompress(compressed)
>>> decompressed
cramjam.Buffer(len=10) # an object which implements the buffer protocol
>>> bytes(decompressed)
b"bytes here"
>>> np.frombuffer(decompressed, dtype=np.uint8)
array([ 98, 121, 116, 101, 115, 32, 104, 101, 114, 101], dtype=uint8)
Where the API is cramjam.<compression-variant>.compress/decompress
and accepts
bytes
/bytearray
/numpy.array
/cramjam.File
/cramjam.Buffer
/ memoryview
objects.
de/compress_into
Additionally, all variants support decompress_into
and compress_into
.
Ex.
>>> import numpy as np
>>> from cramjam import snappy, Buffer
>>>
>>> data = np.frombuffer(b'some bytes here', dtype=np.uint8)
>>> data
array([115, 111, 109, 101, 32, 98, 121, 116, 101, 115, 32, 104, 101,
114, 101], dtype=uint8)
>>>
>>> compressed = Buffer()
>>> snappy.compress_into(data, compressed)
33 # 33 bytes written to compressed buffer
>>>
>>> compressed.tell() # Where is the buffer position?
33 # goodie!
>>>
>>> compressed.seek(0) # Go back to the start of the buffer so we can prepare to decompress
>>> decompressed = b'0' * len(data) # let's write to `bytes` as output
>>> decompressed
b'000000000000000'
>>>
>>> snappy.decompress_into(compressed, decompressed)
15 # 15 bytes written to decompressed
>>> decompressed
b'some bytes here'