bKNN's Stars
danielmiessler/SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
dbeaver/dbeaver
Free universal database tool and SQL client
vaticle/typedb
TypeDB: the polymorphic database powered by types
adbar/trafilatura
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
botoxparty/XP.css
A CSS framework for building faithful recreations of operating system GUIs.
DarthTon/Xenos
Windows dll injector
minimaxir/aitextgen
A robust Python tool for text-based AI training and generation using GPT-2.
addyosmani/puppeteer-webperf
Automating Web Performance testing with Puppeteer 🎪
eliasdabbas/advertools
advertools - online marketing productivity and analysis tools
floatinghotpot/casino-server
:fire: An online poker game server powered by Redis, node.js and socket.io
StanGirard/seo-audits-toolkit
SEO & Security Audit for Websites. Lighthouse & Security Headers crawler, Sitemap/Keywords/Images Extractor, Summarizer, etc ...
leerob/youtube-to-mp3
⚡️Electron application to convert and download YouTube videos as MP3s
knadh/hugo-ink
Crisp, minimal personal website and blog theme for Hugo
mikhail-bot/awesome-gpt3
Curating the best GPT3 tools and resources
ecoron/SerpScrap
SEO python scraper to extract data from major searchengine result pages. Extract data like url, title, snippet, richsnippet and the type from searchresults for given keywords. Detect Ads or make automated screenshots. You can also fetch text content of urls provided in searchresults or by your own. It's usefull for SEO and business related research tasks.
varepsilon/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 :)
desbenoit/ChallengeDuBerger
Améliorer nos relations en variant nos signatures emails
jamesaphoenix/Python_For_SEO
A 16-Part Free Course Demonstrating All Of The Different Ways That You Can Use Python To Improve Your SEO Processes.
sundios/SEO-Dashboard
SEO dashboard from Search console Data using the Google Search API, Mysql database , NodeJS RESTAPI( ExpressJS) and reactJs Dashboard
locomotive-agency/SEODeploy
SEODeploy: Flexible and Modular Python Library for Automating SEO Testing in Deployment Pipelines.
nittolese/gquestions
Find "People Also Ask" questions
TeamHG-Memex/soft404
A classifier for detecting soft 404 pages
alvaro-escalante/google-index-checker
Scaling Google Indexation Checks with Node.js
johnmurch/awesome-seo-scripts
Random SEO scripts
dsottimano/semrush-api-in-google-sheets
benjburkholder/google-pagespeed-api-script
A python script that calls the pagespeed api and requests URLs be run. The JSON returned is filtered to only include desired metrics, they are then saved to a local csv for analysis.
dsottimano/seo-dev-tools
benjburkholder/google-natural-language-api
This program leverages the google natural language api to analyze text, either uploaded directly or via URL, returning results on sentiment, content classification and more saved to local CSV.
benjburkholder/google-knowledge-graph-api
Python program that calls knowledge graph API with request, saving results to csv. User will need to enable and use own API key from google cloud console.