GSOC 2019 Ideas
This is the D Language Foundation's Google Summer of Code 2019 page.
If you are interested in working on a D project as part of GSoC 2019, as either a student or mentor, please contact Michael Parker at email@example.com. Include "GSoC 2019" in the email subject line.
The timeline for GSoC 2019 can be found here.
The D ecosystem is always in need of improvement through the revision of existing projects and the creation of new ones. The core projects like the(standard library) and the compilers (Compilers) are always in need of attention. Other important areas include GUI support, integration with other languages, improving and enhancing the tooling, IDE and editor support, and more.
Please add your project ideas to the list below, being as descriptive as you can in the summaries. Students interested in participating can use the ideas listed here as jumping off points, so the more information you provide, the easier it will be for them to get started. If your idea is particularly complex or nuanced, consider leaving contact information so that interested parties may follow up.
Graphics library for resource constrained embedded systems
Create a 2D rasterizer, rich drawing primitives, and 2D graphics library suitable for resource constrained embedded systems (e.g. ARM Cortex-M) to be used in industrial controls, home appliances, medical devices, consumer electronics, and IoT just to name a few. The end goal would be something similar to Segger's emWin. The library would be used to drive LDCs similar to https://www.adafruit.com/product/3396 Requirements:
- Hardware agnostic; should simply render to a frame buffer
- No dependencies (No Phobos, no C standard library, and no official D runtime).
- Consider using -betterC, but a custom minimal D runtime is also a viable option
Proposed Project Mentors: TBA
Tabular data container (data frames)
Pandas, R and Julia have made data frames very popular. As D is getting more interest from data scientist (e.g. eBay or AdRoll) it would be very beneficial to use one language for the entire data analysis pipeline - especially considering that D (in contrast to popular languages like Python, R or Julia) - is compiled to native machine code and gets optimized by the sophisticated LLVM backend.
- conversion to and from CSV
- column binary operations, e.g. `column1 * column2`
- group-by on an arbitrary number of columns
- column/group aggregations
Proposed Project Mentor: TBA
There are many experiments in transparently interfacing D with C++, notably:
- dpp by Atila Neves, that parses and translates headers on the fly
- Calypso by Elie Morisse that bridges the two languages at the AST level.
There is also a lot of work in gringing STL types to the DRuntime (see https://github.com/dlang/druntime/pull/2310).
D would greatly benefit by seamlessly integrating the C++ ecosystem. There are many ways to accomplish this goal and it should be discussed with the community. Andrei already commented on the importance of a tool like Calypso in this thread: https://firstname.lastname@example.org
Proposed Project Mentor: TBA