contextualise
php-malware-analysis
Our great sponsors
| contextualise | php-malware-analysis | |
|---|---|---|
| 10 | 3 | |
| 1,035 | 123 | |
| - | - | |
| 5.9 | 0.0 | |
| about 1 month ago | almost 3 years ago | |
| Python | PHP | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
contextualise
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Ask HN: What software are you dogfooding?
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
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Ask HN: What's your most starred repo?
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 :)
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Has anyone ever monetized Python outside of a typical job?
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.
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If you were asked to showcase your best projects, which ones will you choose?
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.
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The Winamp Skin Museum is powered by a sqlite3 database with 1.2gb of metadata
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.
- Personal Knowledge Management (PKM) open source application: Contextualise
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Contextualise: Structured Thinking
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.
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[Request] Do you have examples of production-grade open source flask solutions?
Forgot to provide the link to the actual GitHub repo: https://github.com/brettkromkamp/contextualise
- Structure Your Knowledge
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Flask Examples in Reality
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
php-malware-analysis
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Ask HN: Where and how do you blog? What platforms etc.?
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/
- Ask HN: What's your most starred repo?
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What is the sense of these websites with random content?
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.
What are some alternatives?
opensanctions - An open database of international sanctions data, persons of interest and politically exposed persons
php-malware-scanner - Scans PHP files for malwares and known threats
wurm - A simple sqlite3-based ORM for Python
php-ransomware - PHP ransomware that encrypts your files, as well as file and directory names.
memoized_coduals - Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
php-dependency-analysis - Library for check dependency between modules inside projects
extruct - Extract embedded metadata from HTML markup
phanalist - Performant static analyzer for PHP, which is extremely easy to use. It helps you catch common mistakes in your PHP code.
zsl-kg - Framework for zero-shot learning with knowledge graphs.
phan - Phan is a static analyzer for PHP. Phan prefers to avoid false-positives and attempts to prove incorrectness rather than correctness.
Banana-RDF - Banana RDF
freenet-core - Declare your digital independence