Carlos Abalde (@carlosabalde)
  • Stars
    star
    148
  • Global Rank 155,276 (Top 6 %)
  • Followers 12
  • Registered over 14 years ago
  • Most used languages
    C
    41.7 %
    Python
    33.3 %
    HTML
    8.3 %
    JavaScript
    8.3 %
    PHP
    8.3 %
  • Location 🇪🇸 Spain
  • Country Total Rank 1,858
  • Country Ranking
    C
    97
    PHP
    1,157
    Python
    1,159
    HTML
    2,198
    JavaScript
    3,316

Top repositories

1

libvmod-redis

VMOD using the synchronous hiredis library API to access Redis servers from VCL.
C
80
star
2

libvmod-cfg

VMOD useful to access to contents of environment variables and local or remote files from VCL, usually for configuration purposes, including execution of Lua and JavaScript programs.
C
24
star
3

mobiledetect2vcl

Python script to transform the Mobile Detect JSON database into an UA-based mobile detection VCL subroutine easily integrable in any Varnish Cache configuration
Python
14
star
4

libvmod-gossip

VMOD useful to dump customizable information about contents currently stored in the cache to a JSON file.
C
8
star
5

varnishsentry

varnishsentry allows selective submission of grouped varnishd shared memory log entries to Sentry DSNs.
Python
6
star
6

fcf-pass-chrome

Google Chrome extension demonstrating how to bypass paywalls implementing the Google's First Click Free Program for Web Search
JavaScript
5
star
7

wurfl-python

WURFL Python: Matching user agent strings with devices in the WURFL database using Python
PHP
4
star
8

www.carlosabalde.com

My personal website available at https://www.carlosabalde.com
HTML
2
star
9

vcc

Varnish Custom Counters (VCC) allows aggregation of custom log entries extracted from Varnish shared memory log.
Python
1
star
10

libvmod-env

VMOD useful to access to values of environment variables from VCL.
C
1
star
11

libvmod-synth

Simple VMOD useful to generate synthetic responses during the vcl_error phase. Four types of responses are supported: files, templates, pixels and strings.
C
1
star
12

ngwallpaper

Programmatically decorate your OSX desktop with randomly selected wallpapers from National Geographic
Python
1
star