Posts

  • Sep 20, 2020

    dns-java

    DNS wrapper library that provides SRV lookup functionality

    Sometimes it is useful to default to previously returned, retained values, if a dns lookup should fail or return an empty result. This behavior is controlled by the retainingDataOnFailures() and retentionDurationMillis(long) methods in DnsSrvResolvers.DnsSrvResolverBuilder.

    Tags: #java • dnsjava • dns

  • Sep 20, 2020

    baguetteBox.js

    :zap: Simple and easy to use lightbox script written in pure JavaScript

    Tags: #javascript • gallery • lightbox

  • Sep 19, 2020

    cms

    Statamic 3: Core Package

    Statamic 3 is the flat-first, Laravel + Git powered CMS designed for building beautiful, easy to manage websites.

    Note: This repository contains the code for the core CMS package. To start your own website project with Statamic, visit the [Statamic application repository][app-repo].

    Tags: #php • statamic • cms

  • Sep 19, 2020

    Implementation of Angular 1.x $cookies service to Angular 2

    Implementation of Angular 1.x $cookies service to Angular

    Tags: #typescript • angular • cookie

  • Sep 19, 2020

    acmephp

    Let’s Encrypt/ACME Command Line client written in PHP

    Acme PHP provides several major improvements over the default clients:

    • Acme PHP comes by nature as a single binary file: a single download and you are ready to start working ;
    • Acme PHP is based on a configuration file (~/.acmephp/acmephp.conf) instead command line arguments. Thus, the configuration is much more expressive and the same setup is used at every renewal ;
    • Acme PHP can monitor your CRONs and can send you alerts in many differents places: E-mail, Slack, HipChat, Flowdock, Fleep (thanks to Monolog!)
    • Acme PHP is very extensible it to create the certificate files structure you need for your webserver. It brings several default formatters to create classical file structures (nginx, nginx-proxy, haproxy, etc.) but you can very easily create your own if you need to ;
    • Acme PHP follows a strict BC policy preventing errors in your scripts or CRON even if you update it (see the Backward Compatibility policy of Acme PHP for more informations) ;

    Tags: #php

  • Sep 18, 2020

    update-helper

    Composer plugin to rise warnings on update, suggest migration processes

    Allow you to display update/upgrade instructions to your library users.

    Tags: #php

  • Sep 18, 2020

    www.freedomsponsors.org

    Crowdfunding Free Software, one issue at a time.

    Liked FreedomSponsors and want to help? Great! There are many ways you can help.

    Tags: #javascript

  • Sep 18, 2020

    Zabbix-in-Telegram

    Zabbix Notifications with graphs in Telegram

    Zabbix Notifications with graphs in Telegram

    Join us in our Telegram group via this link: https://t.me/ZbxTg

    Subscribe to our channel: https://t.me/Zabbix_in_Telegram

    Rate on share.zabbix.com: https://share.zabbix.com/cat-notifications/zabbix-in-telegram

    Tags: #python • zabbix • telegram

  • Sep 17, 2020

    fibratus

    Tool for exploration and tracing of the Windows kernel

    Download the latest release (Windows installer). The changelog and older releases can be found here.

    Alternatively, you can get fibratus from PyPI.

    1. Install the dependencies
      • Download and install Python 3.4.
      • Install Visual Studio 2015 (you’ll only need the Visual C compiler to build the kstreamc extension). Make sure to export the VS100COMNTOOLS environment variable so it points to %VS140COMNTOOLS%.
      • Get Cython: pip install Cython >=0.23.4.
    2. Install fibratus via the pip package manager:
    pip install fibratus

    Tags: #python • windows • windows-kernel

  • Sep 17, 2020

    forecasting

    Time Series Forecasting Best Practices & Examples

    Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively.

    This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utilities around processing and featurizing the data, optimizing and evaluating models, and scaling up to the cloud.

    The examples and best practices are provided as Python Jupyter notebooks and R markdown files and a library of utility functions. We hope that these examples and utilities can significantly reduce the “time to market” by simplifying the experience from defining the business problem to the development of solutions by orders of magnitude. In addition, the example notebooks would serve as guidelines and showcase best practices and usage of the tools in a wide variety of languages.

    Tags: #python • forecasting • time-series

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