contextualise VS phanalist

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

Phanalist needs a way to detect when we are in the function's scope with the name tooComplex(). With pattern matching, it is super easy to detect if the statement is either: if,else,etc.. The first statement that I want to match for is class Index{ and from there, we will continue down the tree. If you think the same way as I do you know that I will be using recursion to calculate the cyclomatic complexity. After we have matched the scope of the tooComplex() function.

In the following paragraph, we will see how phanalist can calculate the cyclomatic complexity of the scope of a method. Before creating Phanalist, I always kept the cyclomatic complexity of the methods I wrote in my mind. And if I see that the complexity is higher than 10. I always try to refactor the method, making it easier to understand.

https://github.com/denzyldick/phanalist

I'm trying to write a static analyzer for PHP. It's written in RUST and it's a personal project of mine to learn rust and also make a FAST static analyzer for PHP projects that are big. I started with this project because the current static analyzers in the PHP ecosystem are slow.

It would be nice if there were people that would like to contribute. If you want to learn rust and you have PHP experience you are welcome to help.