Guidelines

Information for Students

These ideas were contributed by our developers and users. They are sometimes vague or incomplete. If you wish to submit a proposal based on these ideas, you are urged to contact the developers and find out more about the particular suggestion you're looking at.

Becoming accepted as a Google Summer of Code student is quite competitive. Accepted students typically have thoroughly researched the technologies of their proposed project and have been in frequent contact with potential mentors. Simply copying and pasting an idea here will not work. Neither generating a proposal with ChatGPT or equivalent! On the other hand, creating a completely new idea without first consulting potential mentors rarely works.

When writing your proposal or asking for help from the general KDE community don't assume people are familiar with the ideas here. KDE is really big!

If there is no specific contact given you can ask questions on the general KDE development list [email protected]. See the KDE mailing lists page for information on available mailing lists and how to subscribe.

Note

These are all proposals! We are open to new ideas you might have!! Do you have an awesome idea you want to work on with KDE but that is not among the ideas below? That's cool. We love that! But please do us a favor: Get in touch with a mentor early on and make sure your project is realistic and within the scope of KDE.

Adding a Proposal

When adding an idea to this section, please include the following data:

if the application is not widely known, a description of what it does and where its code lives
a brief explanation (2-5 sentences)
the expected size of the project (small-90 hours, medium-175 hours or large-350 hours)
the expected results
pre-requisites for working on your project (skills required/preferred)
if applicable, links to more information or discussions
mailing list or IRC channel for your application/library/module
your name and email address for contact (if you're willing to be a mentor)
if possible, an easy, medium or hard rating of the project

If you are not a developer but have a good idea for a proposal, get in contact with relevant developers first.

Note

Follow this template!

Project: Something that you're totally excited about

Brief explanation: Do you have an awesome idea you want to work on with KDE but that is not among the ideas below? That's cool. We love that! But please do us a favor: Get in touch with a mentor early on and make sure your project is realistic and within the scope of KDE. That will spare you and us a lot of frustration.

Expected results: Something you and KDE loves

Knowledge Prerequisite: Probably C++ and Qt but depends on your project

Duration: Mention one of ~90, ~175 or ~350 hours of effort necessary to finish the project. Use only one of these three project classes and don't come up with other numbers here.

Difficulty: Easy, medium or difficult project

Mentor: Try to see who in KDE is interested in what you want to work on and approach them. If you are unsure you can always ask in #kde-soc:kde.org on matrix.

Ideas

KDE Frameworks

Python bindings for KDE Frameworks

Brief explanation: While Qt itself, has official bindings to Python, this is not the case for the KDE Frameworks. This project hopes to add python bindings to as many frameworks as possible during the summer.

Expected results: Make it easier to build Python apps with Qt

Knowledge Prerequisite: C++ and Python knowledge. Having read https://doc.qt.io/qtforpython-6/ https://doc.qt.io/qtforpython-6/shiboken6/index.html and https://www.kdab.com/creating-python-bindings-for-qt-libraries/ is a good start

Duration: Flexible depending on the amount of frameworks we want to cover during this GSoC (175 or 350 hours).

Difficulty: Medium

Mentor: Carl Schwan - @carl:kde.org on matrix

Port oss-fuzz tests to Qt6

Project type: Coding

Brief explanation: oss-fuzz is a fuzzying tool that runs continuously trying to find security issues in our software. Currently the oss-fuzz tests on KDE Frameworks are run using Qt5 which is not optimal since Qt6 is where our main development focus is (kimageformats or kcodecs examples).

Expected results: oss-fuzz tests run with Qt6 instead of Qt5. If extra time allows it, add more KDE Frameworks testing to oss-fuzz

Knowledge Prerequisite: cmake/compiling/static libraries

Duration: 175 hours

Difficulty: Medium/Hard

Mentor: Albert Astals Cid <[email protected]>

Arianna

Port Arianna to Foliate-js

Brief explanation: Arianna is an ebook reader and currently use epub.js, which is not really maintained anymore. The idea would be to port it https://github.com/johnfactotum/foliate-js which is modern epub renderer used by foliate.

Expected results: A nice and modern epub renderer for Arianna

Knowledge Prerequisite: Javascript knowledge and minimal C++ knowledge to build the project

Duration: 175 hours

Difficulty: Medium

Mentor: Carl Schwan - @carl:kde.org on matrix

GCompris

Add support for multiple numeral system in GCompris

Brief explanation: For now, GCompris numbers are always displayed as Western Arabic numbers (0, 1, ...). There are several systems in the world and Qt/Javascript provides us ways to select the ones we want. The aim of the task is to add the handling of multiple systems and update all the places we display numbers to use the new system. A bit more details are available in https://phabricator.kde.org/T16332.

Expected results: Ability to change numeral system and change it on all the code.

Knowledge Prerequisite: Basics on Javascript and C++

Duration: 175 hours

Difficulty: Easy

Mentors: Emmanuel Charruau @allon:kde.org / Harsh Kumar @hadron43:kde.org / Johnny Jazeix @johnnyj:kde.org. But please join #gcompris:kde.org to discuss with the team.

sddm-kcm

Harden sddm-kcm

Project type: Coding

Brief explanation: sddm-kcm is a system settings module to setup sddm, the SUSE security team has found some issues that while not immediately exploitable we would ideally fix. It would also include improving KAuth to support passing file descriptors between the main process and the helper instead of paths.

Expected results: Most/All of the issues identified are fixed.

Knowledge Prerequisite: Some C++/Unix/polkit knowledge is welcome.

Duration: 175 hours

Difficulty: Medium/Hard

Mentor: Albert Astals Cid <[email protected]>

Okular

Okular is a universal document viewer developed by KDE. Okular works on multiple platforms, including but not limited to Linux, Windows, Mac OS X, *BSD. Contact the Okular developers.

Improve Forms/Javascript support

Project type: Coding

Brief explanation: Okular supports PDF files with Forms, many of those use Javascript to make the Forms functionality nicer to users. We only support some of the Javascript features, the aim of this project is to improve the support for it.

Expected results: Most/All of the issues identified are fixed.

Knowledge Prerequisite: C++/Javascript

Duration: 175 hours

Difficulty: Medium/Hard

Mentor: Albert Astals Cid <[email protected]>

Krita

Krita is a digital painting application, used by millions of people all over the world. For Google Summer of Code, we expect students to already have contributed to Krita by building the application and submitting merge requests for some bug fixes. Note that some projects also demand a good knowledge of algorithms and skill in doing research. Even if there are a lot of ideas, only 3 contributors maximum will be selected for Krita this year.

Averaged/Mixed Color Selector

Brief explanation: Design improvements to Digital Colors Mixer (+ Mixer Slider Docker) with users feedback (including adding a possibility of a gradient cross all channels for custom colors).

Expected results: Gathering user feedback for Digital Colors Mixer and Mixer Slider Docker on Krita-Artists forum. Creating a design based on that feedback (and running through the forum to ensure completeness). Finally, implement the design (this is expected to be a small project with only some changes to UI and underlying logic; if the user feedback proves the dockers need more work than that, we'll adjust by pointing which of the requested features needs to be implemented for the project to be considered finished).

Knowledge Prerequisite: C++, Qt

Difficulty: Medium

Duration: ~90h

Mentor: Tiar, backup: Wolthera

Link: https://bugs.kde.org/show_bug.cgi?id=363315

Saving curves

Brief explanation: There are several places in Krita where we use a specific type of a curve. There is no way to save them or copy to another part of the interface. This project intends to fill that gap.

Expected results: Save and load plus copy and paste curves in any place Krita uses curves. It needs to be both nice to use and not getting in a way for users who don't use them. The saving itself (into a string) is done, what's left is UI/UX work to include it everywhere.

Knowledge Prerequisite: C++, Qt, UI

Duration: ~90h

Difficulty: Medium

Mentor: Tiar

Links: Color Adjustment curves bug report link, Brush editor curves bug report link, Brush sensors curves bug report link, Pressure curves bug report link

Precision and new units in guides

Brief explanation: Users should be able to edit guides by entering the new value, and they should allow more units than just pixels.

Expected results: Ditto.

Knowledge Prerequisite: C++, Qt

Duration: ~90h

Difficulty: Medium

Mentor: Wolthera

Link: https://bugs.kde.org/show_bug.cgi?id=376943

Merging masks

Brief explanation: Krita has several types of masks, this is about Transparency Masks, with Local Selections, Filter Masks and Colorize Masks as a stretch goal. The project is to add a way to merge masks together.

Expected results: Add merging of masks in AND and OR modes. Preferably one of those modes (OR, probably) should be more easily accessible/treated as default, but both must be possible.

Knowledge Prerequisite: C++, Qt, math

Duration: ~90h

Difficulty: Medium

Mentor: Tiar

Link: https://bugs.kde.org/show_bug.cgi?id=380141

Onion Skin Shift & Trace

Brief explanation: It's a feature that is really important for animators. It allows the user to move and rotate onion skins which makes tracing changing objects in motion way easier. It must be designed with professional animators in mind, not just casual users.

Expected results: Usable "shift & trace" mechanic (with rotation as well, not just moving/panning).

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Emmet

Link: Krita Artists feature request Bug report link

Selection Action Bar

Brief explanation: A floating bar, similar to assistants handles, containing several of the most useful actions. Suggested list of options (can change after discussions with users): Invert selection, crop to selection (layer or image), fill selection with foreground color, copy (or cut?) selected content to new layer, transform selected content, deselect selection, and a move handle for the bar itself.

Expected results: Floating bar fully implemented and usable.

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Emmet, Wolthera or Tiar

Link: https://krita-artists.org/t/selection-action-bar/48767

New option in Color Sampler

Brief explanation: Users often want to sample colors from specific layers. This project should add at least two of the following options: “Current layer and below”, “Current layer and below, without filters”, ”All layers except current one”, “Color Labeled Layers” (selecting and merging color labeled layers is already implemented). In addition to that, it should contain two new actions, one for sampling the foreground color according to the Color Sampler tool options, and another for sampling the background color with those options.

Expected results: At least two of the modes, PLUS the two actions/shortcuts.

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Tiar, Emmet or Wolthera

Links: Feature request on KA about Color Labeled Layers option, Bug report about "Current and below" and "Current and below without filter layers" options, Bug report about "All layers except the current one" option.

Waveform in animation track

Brief explanation: Waveform is very useful for animators to sync the animation to the sound (for example lip syncing). Note that waveform generation is already implemented in MLT, the multimedia library Krita is using.

Expected results: Easily accessible or constantly visible waveform in the Animation Timeline docker

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Emmet

Link: https://bugs.kde.org/show_bug.cgi?id=393140

Summary frames on groups

Brief explanation: Animation related project. Contact Emmet for more details.

Expected results: Summary frames on group layers

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Emmet

Link: https://bugs.kde.org/show_bug.cgi?id=437026

Improve Compositions Docker's Batch Export Features

Brief explanation: The current Compositions Docker does feature exporting and batch exporting, but currently lacks configuration for image or animation export settings. It could use more control over how all compositions are exported.

Expected results: Configurable export settings for the composition docker, and API improvements to allow for reuse of existing export GUI window(s).

Knowledge Prerequisite: C++, Qt, CMake

Duration: ~175h

Difficulty: Medium

Mentor: TBD

Pixel Perfect Hand-drawn Lines

Brief explanation: In Pixel Art dedicated programs the line painted by the "pencil" tool (1px solid pixel brush) is not just following the user's mouse/pen's coordinates, but removing duplicate pixels in a smart way, resulting in a so-called "pixel perfect" line. Example: [1] The task is to implement such feature in Krita.

Expected results: A feature in the Pixel Engine working as described

Knowledge Prerequisite: C++, Qt

Duration: ~175h

Difficulty: Medium

Mentor: Emmet, backup: Tiar

Feature request link: https://krita-artists.org/t/pixel-perfect-line-setting-for-pixel-art-brushes/42629

Technical details link: https://rickyhan.com/jekyll/update/2018/11/22/pixel-art-algorithm-pixel-perfect.html

Extend Arrange Docker for layers plus snapping

Brief explanation: Currently, the arrange docker only supports aligning and distributing vector objects of a singlet vector layer. This project aims to extend the arrange docker support for layers and masks too.

Expected results: All the current operations available in Arrange docker could be done with the layers.

Knowledge Prerequisite: C++, Qt, CMake

Duration: ~350h

Difficulty: Medium

Mentor: Wolthera

Link: https://bugs.kde.org/show_bug.cgi?id=338002

Ribbon Brush

Brief explanation: In other art programs there is a brush engine/tip that can take a raster image and while painting a stroke, distort copies of that image in a way that they seemlessly fit together. It's most common usages are chains, laces at the end of the clothes, braids, textured strings etc. Few examples: [2] A picture of technical explanation: [3]

Note that this is an advanced project and you need to be a good student to be able to complete it (you will have help but you need to have a solid foundation beforehand). We also require either some code examples or some kind of proof-of-concept in the proposal. Make sure to contact us early (contact info above).

Expected results: Fully usable brush tip or brush engine

Knowledge Prerequisite: C++, Qt, math

Duration: ~350h

Difficulty: Hard

Mentor: TBD

Link: https://krita-artists.org/t/ribbon-brush/31346

KStars

Ekos Imaging Pipeline

Brief explanation: Implement Ekos node-based Imaging pipeline with multiple concrete nodes to support live stacking of images. Each node takes an image, configuration, and produces an output image along with metadata to pass to the next stage.

Expected results: Ability to live stack images in Ekos

Knowledge Prerequisite: C++ / Qt

Duration: 175 hours

Difficulty: Hard

Mentors: Jasem Mutlaq @jasem:kde.org

Project: FITSViewer & Photometry Improvements

Brief explanation: The FITSViewer is used to display FITS images as captured by cameras or opened by the user. It supports 8, 16, 32, and 64bit formats with either a single channel (Mono or Bayer) or RGB cube. The goal for this project is to provide efficient and intuitive controls for:

Noise Calculation: Calculate the overall Signal-to-Noise (SNR) radio for the overall image, or a specific subframe of the image.
Sky Glow Computation: Estimation of Sky Glow component in image of various exposures. Each captured image is affected by multiple sources of noise, only of which is the sky glow which in turn is affected by the atmosphere, pollution, and artificial sources (e.g. light). The objective is to propose to the user the optimum exposure time given the sky glow contribution to the image.
Mask Overlay: Ability to select custom mask over stars to aid in focusing and photometry.
Photometry: KStars includes SEP which can be used to extract sources from stellar images and also performs aperture photometry. A new tool should be developed to aid the users to perform photometric work with the images including reduction of images (darks & flats) with various optimization/algorithmic settings. Additionally, the tool provides means for aperture photometry calculations as well.

Since FITSViews typically deals with very high-resolution images, such calculations can be very computationally expensive. It is expected that a very efficient multi-threaded code to be developed to take advantage of all the available cores on the system and any hardware or instruction set optimizations to achieve the smoothest user experience.

Expected results:

Improved Histogram Tool.
SNR, Sky Glow, and Photometry calculations.
Photometric reductions. Aperture photometry.

Knowledge Prerequisite: C++, Qt, Threading, Data Structures

Duration: 175 hours

Difficulty: Hard

Mentor: Jasem Mutlaq (KDE Web Chat: Jasem)

Project: Observation Wizard Improvements

Brief explanation: The Observation Wizard enables users to select and filter objects of interest to them . Currently, the selection is done by object type, location, and magnitude in the sky. Further, the user can filter objects based on altitude and time-range when they are available. This tool can be further improved by providing the following features:

INDI Integration: Filter and sort by object size for Deep Sky Objects that have a physical width and height, unlike point-like sources like stars. Limit objects to fall within a particular percentage of the sensor. For example, M31 galaxy is very large and spans almost 3 degrees in the night sky. It would not fit inside the camera's 1x1 degree field of view (as calculated from INDI). Similarly, an object spanning on 5'x5' arcmins is too small in the camera.
Image Integration: The way the final list of objects are displayed should be modernized. Each object should have an image and also an Altitude-vs-Time plot next to it so that the user can quick identify what is the best time to observe this object. For large lists, this can be very CPU intensive and should be optimized accordingly.
Save/Load: Ability to save and load the wizard search parameters for future use so that the user does not always have to start from scratch every time they need to search for objects.
Export: Export the list of object to an external file or source in CSV and JSON formats.

Expected results:

Improved Observation Wizard Tool.
Proper integration with INDI & Ekos.

Knowledge Prerequisite: C++, Qt, Data Structures

Duration: 175 hours

Difficulty: Hard

Mentor: Jasem Mutlaq (KDE Web Chat: Jasem)

KDE Games

Implement a Computer Opponent for a Mancala Game

Brief explanation: Mancala games such as Bao, Bohnenspiel, Kalah, Oware, Pallanghuzi and Sungka are strategy games played all over the world. The project would entail creating a KDE application for a Mancala game, with a main focus on a good computerized opponent. As an example Kalah has been solved but only certain board sizes maybe fully implemented to work on a typical desktop or mobile device.

Expected results: A good computerized opponent

Knowledge Prerequisite: Some programming background in a compiled language such as C, C++, Java, Kotlin, Rust but not limited to these.

Duration: 175 hours

Difficulty: Medium

Mentor: Benson Muite - benson_muite at emailplus dot org

Lokalize

Lokalize is a program used to aid in translation, and is often used to translate KDE applications.

Improve translation suggestions

Project type: Coding

Brief explanation: Improve usability of translation memory in Lokalize. There is scope for creativity, possible ideas include supplementing the rule based approach with other machine learning techniques or allowing for import of translation memories.

Expected results: More pleasant and efficient translation experience. Greater consistency between translations of KDE applications.

Knowledge Prerequisite: C++

Duration: 175 hours

Difficulty: Medium/Hard

Mentor: Benson Muite - benson_muite at emailplus.org