dtoa-benchmark
C++ double-to-string conversion benchmark (by tearosccebe)
dragonbox
Reference implementation of Dragonbox in C++ (by jk-jeon)
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| dtoa-benchmark | dragonbox | |
|---|---|---|
| 5 | 9 | |
| 0 | 494 | |
| - | - | |
| 6.7 | 8.2 | |
| about 2 years ago | 7 days ago | |
| C++ | C++ | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
dtoa-benchmark
Posts with mentions or reviews of dtoa-benchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-07.
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Why Windows isn't ready for Arm developers
About floating point benchmark it was actually faster than dragonbox. Dragonbox has added improvements based on the optimzation provided by fast_io. Do not what is the situation right now. https://github.com/tearosccebe/dtoa-benchmark
- fast_io outperforms Dragonbox source for 7% on floating-point formatting algorithms by avoiding C++ abstractions. There are no zero-cost abstractions.
- C++20 std::format is already std::regex 2.0 situation.
- C++20 std::format is 2x slower than std::fstream?
dragonbox
Posts with mentions or reviews of dragonbox.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-02.
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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).
- Dragonbox: Fast Float-to-String Conversion
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C++ I wrote a simple and fast formatting library for strings
A recent update to fmt was posted to r/cpp 3 days ago (https://www.reddit.com/r/cpp/comments/vrxkt0/fmt_90_released_with_improvements_to_floating/), and since that's still fresh on people's minds, they'll wonder how yours compares; and they'll probably wonder how it compares in terms of precision, round trip-ability, and performance of DragonBox https://github.com/jk-jeon/dragonbox. By "they", I probably mean "me" :D.
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I created something much faster than a std::string
Existing fast and correct float-to-string implementations are out there. Just use them: https://github.com/jk-jeon/dragonbox. Or maybe use your stdlib if it has good support
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How to read ascii files faster?
Parse floats faster with dragonbox
- Dragonbox 1.1.0 is released (a fast float-to-string conversion algorithm)
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C++20 std::format is already std::regex 2.0 situation.
Even if what you say is true, it makes little sense to not reuse it. There are other concerns here and one of them is code size. But to address the performance issue, fmtlib is doing under 50ns for most fp numbers via dragonbox(https://github.com/jk-jeon/dragonbox has the chart). So still cpu bound, but all FP output is CPU bound. At this point, what prices are we trading for faster?
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First release of dragonbox, a fast float-to-string conversion algorithm, is available
There are some benchmarks in https://github.com/jk-jeon/dragonbox#performance. TL;DR it's faster than other state of the art algorithms like Ryu, Schubfach and variations of Grisu. We saw a nice speed up when switching from Grisu3 to Dragonbox in {fmt}: https://github.com/fmtlib/fmt/pull/1882 and it has been improved even more since then.
What are some alternatives?
When comparing dtoa-benchmark and dragonbox you can also consider the following projects:
nanobench - Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
fast_float - Fast and exact implementation of the C++ from_chars functions for number types: 4x to 10x faster than strtod, part of GCC 12 and WebKit/Safari
fast_io - C++20 Concepts IO library which is 10x faster than stdio and iostream
C++ Format - A modern formatting library
ryu - Converts floating point numbers to decimal strings
ryu - Ryu component-based software defined networking framework
itoa - Fast integer to ascii / integer to string conversion
cpp-xstring - A system to handle strings easier and faster
fast_obj - Fast C OBJ parser
hash-table-shootout - A benchmark of some prominent C/C++ hash table implementations
fstring - A quick C++ formatting library