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93 public repositories
matching this topic...
Fast, easy and reliable testing for anything that runs in a browser.
Updated
Sep 10, 2021
JavaScript
The Ruby Spec Suite aka ruby/spec
Updated
Sep 10, 2021
Ruby
DARPA Challenges Sets for Linux, Windows, and macOS
🔎 Automated mutation testing for Swift 🕳️
Updated
Jul 31, 2021
Swift
Extremely flexible golang deep comparison, extends the go testing package, tests HTTP APIs and provides tests suite
Behavior specification for Gavel, validator of HTTP transactions
Updated
Jun 15, 2021
Gherkin
Revision control stress tests
Updated
Jan 17, 2017
Perl
Comprehensive, language independent Test Suite for YAML
Comparison of the different implementations of JSONPath and language agnostic test suite.
Updated
Sep 4, 2021
Shell
A tool for Model Based Testing
Updated
Aug 6, 2021
Haskell
Micropub test suite and debugging utility
A tool to ping your site with a variety of real world WebMentions
Updated
Jun 15, 2021
HTML
The Crystal Programming Language Koans
Updated
Aug 6, 2021
Crystal
Test suite and debug utilities for W3C WebSub
a webmention validator and test suite
Python script to quickly create hand-crafted PDF files
Updated
Oct 22, 2017
Python
Semi-automated conformance checking for IRC (1459/2812/IRCv3) implementations
Updated
Sep 10, 2021
Python
My own realization of ASN.1:2008 test suite
Updated
Feb 26, 2020
HTML
vogro: an excellent web framework for modern cplusplus, born for simplicity and high performance.
Marquee - An open source Selenium based UI automation library inspired by canopy.
An extension of Deno's built-in test runner to add setup/teardown hooks and the ability to organize tests. Includes describe/it functions for creating nested tests in a format similar to Jasmine, Jest, and Mocha
Updated
Jul 29, 2021
TypeScript
C language Independent Verification & Validation
n-body-simulation performance test suite
Updated
Feb 13, 2019
Python
Bencodex: Bencoding Extended
QEMU-KVM Virtual Environment for Running Microsoft HCK Tests
Updated
Mar 17, 2021
Shell
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Feature request
Is your feature request related to a problem? Please describe
The analysis.py script provides just one confidence interval: 95%. While that is related to the 2-sigma interval of normal distribution, so in theory allows for easy estimation of bigger confidence intervals (like 3, 4, 5-sigma), it assumes a normal distribution, which the differences don't follow, and may be