this project is forked from here, a fast compression library, written in c.
I just add library.json, which makes it work for platform.io.
You can add this library to you embedded project by edit platformio.ini

lib_deps =
    liux-pro/lz4@^0.0.1

a python script that generate lz4 compressed data on pc.
full code at https://github.com/liux-pro/monitor-server

# pip install lz4
import lz4.block
compressedData = lz4.block.compress(bytes(data), store_size=False)
# then send compressedData to esp8266

on esp8266, decompress compressedData and save result in originData, both length of them are required.
full code at https://github.com/liux-pro/monitor

#include "lz4.h"
LZ4_decompress_safe(compressedData, originData, lengthOfCompressedData, lengthOriginData);

Compress a string and then decompress. Based on example/simple_buffer.c. make sure to check LICENSE before you use is.

#include <Arduino.h>
#include "lz4.h"

void setup()
{
    Serial.begin(115200);
    delay(1000);
}

void loop()
{
    const char *const src = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem ipsum dolor site amat.";
    const int src_size = (int)(strlen(src) + 1);
    const int max_dst_size = LZ4_compressBound(src_size);
    char *compressed_data = (char *)malloc((size_t)max_dst_size);
    const int compressed_data_size = LZ4_compress_default(src, compressed_data, src_size, max_dst_size);
    compressed_data = (char *)realloc(compressed_data, (size_t)compressed_data_size);

    /* Decompression */
    char *const regen_buffer = (char *)malloc(src_size);
    const int decompressed_size = LZ4_decompress_safe(compressed_data, regen_buffer, compressed_data_size, src_size);
    Serial.println(regen_buffer);
    free(compressed_data);
    free(regen_buffer);

    delay(1000);
}

LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core, scalable with multi-cores CPU. It features an extremely fast decoder, with speed in multiple GB/s per core, typically reaching RAM speed limits on multi-core systems.

Speed can be tuned dynamically, selecting an "acceleration" factor which trades compression ratio for faster speed. On the other end, a high compression derivative, LZ4_HC, is also provided, trading CPU time for improved compression ratio. All versions feature the same decompression speed.

LZ4 is also compatible with dictionary compression, both at API and CLI levels. It can ingest any input file as dictionary, though only the final 64KB are used. This capability can be combined with the Zstandard Dictionary Builder, in order to drastically improve compression performance on small files.

LZ4 library is provided as open-source software using BSD 2-Clause license.

Branch	Status
dev

The benchmark uses lzbench, from @inikep compiled with GCC v8.2.0 on Linux 64-bits (Ubuntu 4.18.0-17). The reference system uses a Core i7-9700K CPU @ 4.9GHz (w/ turbo boost). Benchmark evaluates the compression of reference Silesia Corpus in single-thread mode.

LZ4 is also compatible and optimized for x32 mode, for which it provides additional speed performance.

make
make install     # this command may require root permissions

LZ4's Makefile supports standard Makefile conventions, including staged installs, redirection, or command redefinition. It is compatible with parallel builds (-j#).

You can download and install LZ4 using the vcpkg dependency manager:

git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
vcpkg install lz4

The LZ4 port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.

The raw LZ4 block compression format is detailed within lz4_Block_format.

Arbitrarily long files or data streams are compressed using multiple blocks, for streaming requirements. These blocks are organized into a frame, defined into lz4_Frame_format. Interoperable versions of LZ4 must also respect the frame format.

Beyond the C reference source, many contributors have created versions of lz4 in multiple languages (Java, C#, Python, Perl, Ruby, etc.). A list of known source ports is maintained on the LZ4 Homepage.