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Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.
A Compositional Numeric Library for C++
A simple vaultless password manager in Go
C++ header-only fixed-point math library
Serialization code generator for QUICK struct content comparison
Fast Lockstep ECS Framework
Updated
Aug 14, 2020
Python
(WIP) Deterministic, Lockstep RTS Engine
A JavaScript bundler for node.js monorepo-codebased applications.
Updated
Aug 20, 2020
JavaScript
Framework for simulating distributed applications
📐 C# cross precision 3D maths library (with zero dependencies).
Generate Deterministic SSH keys
A deterministic math lib for lockstep game
Private Incremental File Storage on Usenet
converting regex (regular expression) to DFA directly by creating syntax tree in java
💽 deterministic build environment
Updated
Aug 27, 2020
Python
🗃 Gitian signatures and assertions for Axe Core
Updated
Feb 26, 2020
Python
Real-Time Linux Article Series for System Configuration and Application Development
A command line application that helps deploy and verify projects that build deterministically.
Updated
Jul 16, 2020
TypeScript
Ordered JSON (OJSON) - deterministic or stable serialization
Updated
May 17, 2017
Erlang
2D fixed-point physics for Unity (WIP).
A lightweight data-augmentation library for machine learning
Updated
Sep 16, 2019
Python
The Rolez Programming Language
Updated
Aug 14, 2019
Xtend
A fast, pure, side-effect-free Implementation of Fisher-Yates Shuffle
Updated
Aug 26, 2020
JavaScript
🔍 Deterministic array search
Updated
May 9, 2020
Python
Create deterministic schemas with Faker
Updated
Aug 25, 2020
JavaScript
Canonical Encoding Rules for Protocol Buffers 3
Generates a secure deterministic mnemonic phrase out of a given number of strings. Each string will be concatenated with the previous hash and will run 100.000 rounds of sha-256. The last hash represents the entropy for the bip39 mnemonic phrase.
Updated
May 23, 2019
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E.g. If 1000 users are in a system and we only want to allocate 10% of them to our test to minimize risk, an allocation float kwarg would be useful in order to only perform the experiment for 100 users.
control - 50 users
test_1 - 50 users