Beast code in Giters

Jonathan Barratt's starred repositories

phan

Phan is a static analyzer for PHP. Phan prefers to avoid false-positives and attempts to prove incorrectness rather than correctness.

Language:PHPNOASSERTION5515 108 2763

pa11y

Pa11y is your automated accessibility testing pal

Language:JavaScriptLGPL-3.04006 220 372

phantomas

Headless Chromium-based web performance metrics collector and monitoring tool

Language:JavaScriptBSD-2-Clause2252 66 446

libcloud

Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy to use API.

Language:PythonApache-2.02024 85 206

SpiffWorkflow

A powerful workflow engine implemented in pure Python

Language:PythonLGPL-3.01633 88 143

git-webhook

:octocat: 使用 Python Flask + SQLAchemy + Celery + Redis + React 开发的用于迅速搭建并使用 WebHook 进行自动化部署和运维，支持 Github / GitLab / Gogs / GitOsc。

Language:PythonMIT1511 880

inbox.py

Python SMTP Server for Humans

Language:PythonBSD-2-Clause1508 40 12

restc

A server-side middleware to visualize REST requests.

Language:HTMLMIT1353 51 22

imbox

Python IMAP for Human beings

Language:PythonMIT1173 39 132

HTML_CodeSniffer is a client-side JavaScript application that checks a HTML document or source code, and detects violations of a defined coding standard. Comes with standards that cover the three conformance levels of the W3C's Web Content Accessibility Guidelines (WCAG) 2.0 and the U.S. Section 508 legislation.

Language:JavaScriptBSD-3-Clause1113 78 192

opentracing-javascript

OpenTracing API for Javascript (both Node and browser). 🛑 This library is DEPRECATED! https://github.com/opentracing/specification/issues/163

Language:TypeScriptApache-2.01089 23 73

pshtt

Scan domains and return data based on HTTPS best practices

Language:PythonCC0-1.0669 50 90

refined-bitbucket

[NOT MAINTAINED] Chrome and Firefox extension that improves Bitbucket's user experience

Language:JavaScriptMIT645 18 220

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

Language:PythonBSD-3-Clause233 21 9