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Ryu Alternatives
Similar projects and alternatives to ryu
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FrameworkBenchmarks
Source for the TechEmpower Framework Benchmarks project
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jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON codecs
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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Jackson
Core part of Jackson that defines Streaming API as well as basic shared abstractions
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fast_float
Fast and exact implementation of the C++ from_chars functions for float and double types: 4x to 10x faster than strtod, part of GCC 12 and WebKit/Safari
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arrow-tools
A collection of handy CLI tools to convert CSV and JSON to Apache Arrow and Parquet
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ryu alternative or higher similarity.
ryu reviews and mentions
Posts with mentions or reviews of ryu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-03.
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Parquet: More than just “Turbo CSV”
> Google put in significant engineering effort into "Ryu", a parsing library for double-precision floating point numbers: https://github.com/ulfjack/ryu
It's not a parsing library, but a printing one, i.e., double -> string. https://github.com/fastfloat/fast_float is a parsing library, i.e., string -> double, not by Google though, but was indeed motivated by parsing JSON fast https://lemire.me/blog/2020/03/10/fast-float-parsing-in-prac...
> There isn't really a CSV standard that defines the precise grammar of CSV.
Did you read the link going to a page literally titled: "Parsing JSON is a Minefield."?
JSON has a "precise" grammar intended to be human readable. The end result is a mess, vulnerable to attacks due to dissimilarities between different implementations.
Google put in significant engineering effort into "Ryu", a parsing library for double-precision floating point numbers: https://github.com/ulfjack/ryu
Why bother, you ask? Why would anyone bother to make floating point number parsing super efficient?
JSON.
- Faster way to convert double to string, not using "%f"?
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23 years into my career, I still love PHP and JavaScript
Apparently exact minimal float-to-string conversion is more recent than I thought, and many languages used to print more (Python?) or less (PHP) decimal digits than necessary to uniquely identify the bit pattern. Python correctly prints 46000.80 + 553.04 as 46553.840000000004, but I don't know if it ever prints more digits than needed. One recent algorithm for printing floats exactly is https://github.com/ulfjack/ryu, though I'm unaware what's the state-of-the-art (https://github.com/jk-jeon/dragonbox claims to be a benchmark and the best algorithm).
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C++ devs at FAANG companies, what kind of work do you do?
Used a wizard's magic to print "3.14" faster
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how to make ftoa procedure from scratch
Here's a paper that details an optimized algorithm (reference implementation). It also contains a description of a correct, but slow algorithm as well as references to classic papers on the subject. Earlier the classic implementation was the dtoa one included in netlib by David Gay.
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Dragonbox 1.1.0 is released (a fast float-to-string conversion algorithm)
At the very core of all these theoretical stuffs, there is the theory of continued fractions. This is an immensely useful monster which I even dare call as the ultimate tool for floating-point formatting/parsing that everyone who wants to contribute in this field should learn. Before I learned continued fractions, my main tool for proving stuffs was the minmax Euclid algorithm (which is one of the greatest contributions of the wonderful Ryu paper), but it turns out that it is actually just a quite straightforward application of the theory of continued fractions. The main role minmax Euclid algorithm played was to estimate the maximum size of possible errors, but with continued fractions it is even possible to find the list of all examples that generate errors above a given threshold. This is something I desperately wanted but really couldn't do back in 2020.
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FastDoubleParser: Java port of Daniel Lemires fast_double_parser
Ryū algorithm, the converse (doubles to strings), is also much faster than using Java's number formatting classes.
https://github.com/ulfjack/ryu/blob/master/src/main/java/inf...
- Ryū: fast float-to-string conversion (Java lib, 2018 paper)
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Stats
Basic ryu repo stats
12
1,088
0.0
7 months ago
ulfjack/ryu is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of ryu is C++.
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