flatdata
SpeedTests
flatdata | SpeedTests | |
---|---|---|
1 | 4 | |
177 | 62 | |
0.6% | - | |
2.0 | 7.5 | |
10 days ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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flatdata
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How should I handle storing and reading from large amounts of data in my project?
Shameless self-plug: You could have a look at https://github.com/heremaps/flatdata to see if it fits your needs: Read-only memory mapped flat data structures providing fast random access.
SpeedTests
- SpeedTests: Comparing the execution speeds of various programming languages
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Compile for faster execution?
Thanks. Maybe somebody could look at my program why it's so slow. I have a project in which I benchmark several languages for the same problem. I added Julia (link) but I expected it to be faster. The source code is here.
- SpeedTests: Comparing Execution Speeds of Various Programming Languages
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
dextool - Suite of C/C++ tooling built on LLVM/Clang
codechecker - CodeChecker is an analyzer tooling, defect database and viewer extension for the Clang Static Analyzer and Clang Tidy
compiler-benchmark - Benchmarks compilation speeds of different combinations of languages and compilers.
Apache Thrift - Apache Thrift
fastcov - A massively parallelized gcov wrapper
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
PackageCompiler.jl - Compile your Julia Package
BenchmarkTools.jl - A benchmarking framework for the Julia language
sdl2-examples - SDL2 examples, for 25+ different programming languages
yahboomg1tank - ROS2 for YAHBOOM G1 Tank
android-auto-translate - Auto translate strings.xml on Android