TurboPFor
smaz
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| TurboPFor | smaz | |
|---|---|---|
| 8 | 3 | |
| 743 | 1,131 | |
| - | - | |
| 8.5 | 0.0 | |
| about 2 months ago | over 4 years ago | |
| C | C | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TurboPFor
- Show HN: Time Series Benchmark TurboPFor,TurboFloat,TurboFloat LzX,TurboGorilla
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Show HN: HN:The Gorilla in the Room:Exploring RedisTimeSeries Optimizations
[4] https://github.com/powturbo/TurboPFor-Integer-Compression/is...
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Float Compression 9: Lzsse and Lizard
The bytedelta described in the blog is suboptimal and does might not work with other datasets.
Download icapp from https://github.com/powturbo/TurboPFor-Integer-Compression/re... and make your own tests with your data.
[1] https://github.com/powturbo/TurboPFor-Integer-Compression
- Show HN: 1D/2D/3D Lossless/Lossy Floating Point Compression with TurboPFor
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How do Games manage NPC schedules?
I use a fake database paired with compressed bits for flags and integer compression for various other traits. They follow a navigation guide similar to wind for foliage.
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Quantile Compression: 35% higher compression ratio for numeric sequences than any other compressor
It could be nice to see a comparison against https://github.com/powturbo/TurboPFor-Integer-Compression !
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q_compress 0.7: still has 35% higher compression ratio than .zstd.parquet for numerical sequences, now with delta encoding and 2x faster than before
I'm the author of TurboPFor-Integer-Compression. Q_compress is a very interresting project, unfortunatelly it's difficult to compare it to other algorithms. There is not binary or test data files (with q_compress results) available for a simple benchmark. Speed comparison would also be helpfull.
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C Deep
TurboPFor - Fastest integer compression. GPL-2.0-or-later
smaz
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Advanced MessagePack capabilities
Choose the data compression algorithm based on the specifics of your data. For example, if you are working with lots of short strings, take a look at [*SMAZ](https://github.com/antirez/smaz).*
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Improving short string compression.
Take a look at this. Idea behind it seems nice, but it's fixed dictionary ("codebook") was clearly made for English language, and the algorithm itself is really simple. How can we impove on this? Dynamic dictionary won't do, since you have to store it somewhere, nullifying benefits of using such algorithm. Beyond that I have no idea.
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C Deep
smaz - Efficient string compression library. BSD-3-Clause
What are some alternatives?
x3-rust - X3 Lossless Audio Compression for Rust
LZMAT - git mirror of LZMAT (http://www.matcode.com/lzmat.htm)
libuv - Cross-platform asynchronous I/O
Snappy - A fast compressor/decompressor
42_CheatSheet - A comprehensive guide to 50 years of evolution of strict C programming, a tribute to Dennis Ritchie's language
doboz
CRoaring - Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, and StarRocks
zstd - Zstandard - Fast real-time compression algorithm
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
ZLib - A massively spiffy yet delicately unobtrusive compression library.
encoding - Integer Compression Libraries for Go
LZHAM - Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++