All in one data compression library.
Welcome to compress Documentation
There’s lots of mature data compression algorithm you can choose from, compress provides normalized API to use them and switch between them.
From Python Standard library:
From Community (Additional Library Required):
snappy, from Google, lower compression ratio but super fast! (on MacOS, you need to install it via brew install snappy, on Ubuntu, you need sudo apt-get install libsnappy-dev.
lz4, lower ratio, super fast!
>>> from compress import Compressor >>> binary_data = ("hello world! " * 100).encode("utf-8") >>> c = Compressor() >>> c.use_gzip() # or use_bz2, use_lzma, use_lz4, use_snappy >>> c.compress(binary_data, zlib_level=9) >>> c.decompress(binary_data)
Other API for lazy developer:
>>> import compress >>> compress.compress_bytes_to_bytes >>> compress.compress_str_to_bytes >>> compress.compress_bytes_to_b64str # compress, and returns b64 encoded str >>> compress.compress_str_to_b64str # compress string and returns b64 encoded str >>> compress.decompress_bytes_to_bytes # inverse of compress_bytes_to_bytes >>> compress.decompress_bytes_to_str # inverse of compress_str_to_bytes >>> compress.decompress_b64str_to_bytes # inverse of compress_bytes_to_b64str >>> compress.decompress_b64str_to_str # inverse of compress_str_to_b64str compress_bytes_to_bytes, compress_str_to_bytes, compress_bytes_to_b64str, compress_str_to_b64str, decompress_bytes_to_bytes, decompress_bytes_to_str, decompress_b64str_to_bytes, decompress_b64str_to_str,
This website provides comprehensive comparison and visualization. But how do you know how it works on your own production environment?.
compress comes with a tool to run benchmark test for All test case, All algorithm, All parameters, and you will get informative stats about ratio, compress/decompress speed in .tab and ascii table format. Then You are able to visualize it in the way you preferred.
To run benchmark test, just:
$ pip install -r requirements-benchmark.txt $ python ./benchmark/run.py
compress is released on PyPI, so all you need is:
$ pip install compress
To upgrade to latest version:
$ pip install --upgrade compress
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Hashes for compress-0.0.3-py2.py3-none-any.whl