php-malware-analysis VS contextualise

I use Hugo. A while back, I evolved a WordPress honeypot. The amount and variety of attacks that WordPress draws is just astonishing, I can't comprehend using it.

https://bruceediger.com/phparasites/

https://github.com/bediger4000/php-malware-analysis

As far as "why", Daniel Miessler convinced me with this: https://danielmiessler.com/blog/why-everyone-needs-a-blog/

Sounds vaguely like this PHP malware:

https://github.com/bediger4000/php-malware-analysis/tree/mas...

https://github.com/bediger4000/php-malware-analysis/tree/mas...

But only vaguely. I would guess the random content is for human consumption, and the underlying PHP redirects bots to some other SEO thing, which is opposite of the malware I linked to above. But that's just a guess.

A lot of malware is so poorly coded it's impossible to tell what the intent is. Your random content could be a result of that, too.

Contextualise, a tool to manage projects and/or activities with lots of unstructured data: a personal knowledge management tool of sorts. The link is here: (https://contextualise.dev/).

It's a MIT-licensed open source project: https://github.com/brettkromkamp/contextualise

That would be Contextualise (https://github.com/brettkromkamp/contextualise) with 980 stars. The project is 3-4 years old. So, it's slow-going. Nevertheless, there are many (underappreciated) projects that should have a lot more stars than they do, so I am not complaining :)

Somewhat indirectly, yes. I am the developer behind Contextualise a topic maps-based knowledge management application written in Python. The application and its GitHub repository generate a lot of interest (in the semantic knowledge management space) and have provided me with many freelance projects over the years.

That would have to be Contextualise (https://contextualise.dev/) and its accompanying open source project (https://github.com/brettkromkamp/contextualise).

I've been working on knowledge graph-related problems (and accompanying applications) for years and Contextualise is probably the most visible component of that work.

I have built a graph-based knowledge management system (https://github.com/brettkromkamp/contextualise) on top of SQLite. It runs great. Also, from a management point of view (e.g., deployments, backups) its ease of use is second to none. I migrated the application from PostgreSQL (which is also a great RDBMS) to SQLite and I haven’t looked back.

Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources: https://github.com/brettkromkamp/contextualise. Contextualise's main dependency is TopicDB, an open source topic maps-based graph store implemented in Python. The Contextualise web application is implemented with the Flask framework.

Forgot to provide the link to the actual GitHub repo: https://github.com/brettkromkamp/contextualise

I have a relatively popular Flask application in production: Contextualise (https://contextualise.dev). It’s an open source project, so you can take a look at the code base and hopefully learn something of use: https://github.com/brettkromkamp/contextualise