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Benchmarks Alternatives
Similar projects and alternatives to benchmarks
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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beartype
Unbearably fast near-real-time runtime type-checking in pure Python.
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lucky
A full-featured Crystal web framework that catches bugs for you, runs incredibly fast, and helps you write code that lasts.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
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Programming-Language-Benchmarks
Yet another implementation of computer language benchmarks game
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v
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
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FrameworkBenchmarks
Source for the TechEmpower Framework Benchmarks project
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vim-matchup
vim match-up: even better % :facepunch: navigate and highlight matching words :facepunch: modern matchit and matchparen. Supports both vim and neovim + tree-sitter.
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Kategory
Λrrow - Functional companion to Kotlin's Standard Library (by arrow-kt)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
benchmarks reviews and mentions
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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New, fastest JSON library for C++20
https://github.com/kostya/benchmarks is the current ratings. Should be an easy PR to them too.
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What things would be awkward to do in a hypothetical "strict" Haskell variant, that are now not awkward to do?
I don't think that rule will get you to 1.5-2x of C speed though. This benchmark is the only one I could find that has both PyPy and C and it seems to still be around 5-35x.
They are at least trying to avoid measuring JIT compilation times. I don't know how effective that is, but I trust somebody would have complained if it wasn't fair.
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Speed & LSP
The best benchmark I've seen is this one
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The computers are fast, but you don't know it
According to these benchmarks, pure Python is about 100 times slower than C and other fast languages: https://github.com/kostya/benchmarks
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Apr 2023
Stats
kostya/benchmarks is an open source project licensed under MIT License which is an OSI approved license.