Category Archives: Software

Gingerita Prototype Windows

I present to your attention fork Kate text editor called Gingerita. Why Fork, why, what is the goal? I want to add the functionality that I need in my work, so as not to wait for the correction, adding features from the Kate team, or the adoption of my corrections to the Main branch.
At the moment, a prototype version for Windows is currently available, almost vanilla version of Kate with minimal changes. For Gingerita, I have developed two plugs – an image of the images directly from the editor and the built -in browser, for debugging my web projects or for interacting with AI with assistants such as ChatGPT.

The version for Windows can be tested by the link below:
https://github.com/demensdeum/Gingerita/releases/tag/prototype

Cube Art Project 2

Meet – Cube Art Project 2

The second version of the station editor, fully rewritten on pure JavaScript without Webassembly.
Light, fast and starts right in the browser – nothing more.

This is an experiment: cubes, color, freedom and a little meditative 3D geometry.
You can change colors using RGB-sloders, save and load scenes, move around space and just play.

Control:
– WASD – moving the camera
– Mouse – rotation
– Gui – color settings

Online:
https://demensdeum.com/software/cube-art-project-2/

Sources on Github:
https://github.com/demensdeum/cube-art-project-2

The project is written on pure JavaScript using Three.js.
Without frameworks, without collectors, without Webassembly – only Webgl, shaders and a little love for pixel geometry.

The scenes can be saved and loaded – create your worlds, save as JSON, share or return later to refinement.

Ghost Contacts

In the GhostContacts app, you can add contacts to the secret list, there is support for dark and bright topics, localization, export and imports of CSV contacts, an emergency password is supported to reset the list of contacts if the user suddenly requires a regular password for entering.

Application online:
https://demensdeum.com/software/ghost-contacts/

Github:
https://github.com/demensdeum/GhostContacts

Automatic code analysis with Bistr

If you need to analyze the source code of a project, but want to automate this process and use the local power of your computer, the Bistr utility can be a great solution. In this article, we will look at how this utility helps analyze code using the Ollama machine learning model.

What is Bistr?

Bistr is a source code analysis utility that allows you to integrate a local LLM (large language model) model such as Ollama to analyze and process code. With Bistr, you can analyze files in various programming languages ​​such as Python, C, Java, JavaScript, HTML, and more.

Bistr uses the model to check files against specific queries, such as finding an answer to a question about the functionality of the code or a part of it. This provides a structured analysis that helps in developing, testing, and maintaining projects.

How does Bistr work?

  • Load state: When you start an analysis, the utility checks whether the analysis state has been saved previously. This helps you continue where you left off without having to re-analyze the same files.
  • Code Analysis: Each file is analyzed using the Ollama model. The tool sends a request to the model to analyze a specific piece of code. The model returns information about the relevance of the code in response to the request, and also provides a textual explanation of why the given piece is relevant to the task.
  • State Preservation: After each file is parsed, the state is updated to continue with up-to-date information next time.
  • Results output: All analysis results can be exported to an HTML file, which contains a table with a rating of files by relevance, which helps to understand which parts of the code are most important for further analysis.

Installation and launch

To use Bistr, you need to install and run Ollama, a platform that provides LLM models, on your local machine. The Ollama installation instructions for macOS, Windows, and Linux are described below.

Download the latest version of Bistr from git:
https://github.com/demensdeum/Bistr/

After installing Ollama and Bistr, you can start code analysis. To do this, you need to prepare the source code and specify the path to the directory containing the files to be analyzed. The utility allows you to continue the analysis from where you left off, and also provides the ability to export the results in HTML format for easy further analysis.

Example command to run the analysis:


python bistr.py /path/to/code --model llama3.1:latest --output-html result.html --research "What is the purpose of this function?"

In this command:

–model specifies the model to be used for analysis.
–output-html specifies the path to save the analysis results in an HTML file.
–research allows you to ask a question that you want to answer by analyzing the code.

Benefits of using Bistr

  • Local execution: Analysis is performed on your computer without the need to connect to cloud services, which speeds up the process.
  • Flexibility: You can analyze code in different programming languages.
  • Automation: All code analysis work is automated, which saves time and effort, especially when working with large projects.

Radio-Maximum-Electron

Radio Maximum Electron is a powerful and convenient application designed to listen to the radio station “Radio Maximum” on your computer running Windows, Linux and macOS operating systems. This player combines ease of use with high functionality, providing you with access to the stream in real time with minimal effort.

Just download the app from GitHub:

https://github.com/demensdeum/Radio-Maximum-Electron/releases

The author has no connection with Radio Maximum, he just really likes this radio.
The main functionality is implemented by the Nativifier project

https://github.com/nativefier/nativefier

The build scripts are licensed under MIT, the runtime has its own license!

Nixy Player

Nixy Player – A small, extensible, cross-platform JavaScript runtime.

Cross-platform: available on Windows, macOS, and Linux, as well as any other platform with C++ and dynamic library support.
Lightweight: minimal resource consumption with efficient performance.
Extensible: designed to be easily extended with plugins and additional libraries.

Please visit the Releases page to stay up to date with the latest releases and updates:
https://github.com/demensdeum/NixyPlayer/releases/