|
311 | 311 | | Python Software Foundation | [link](https://github.com/python/cpython/issues?q=is%3Aopen+label%3Aeasy) | N/A | [python-gsoc.org](https://python-gsoc.org/) | |
312 | 312 | | OpenCV | [link](https://github.com/opencv/opencv/issues?q=is%3Aopen+label%3A%22good+first+issue%22) | [link](https://github.com/opencv/opencv/issues?q=is%3Aopen+label%3A%22help+wanted%22) | [GSoC ideas](https://github.com/opencv/opencv/wiki/GSoC_2024) | |
313 | 313 | | GNU Project | [gzip bugs](https://savannah.gnu.org/bugs/?group=gzip) | N/A | [GSoC ideas](https://www.gnu.org/software/soc-projects/ideas.html) | |
| 314 | +| Boost C++ Libraries ✨ | [link](https://github.com/boostorg/boost/issues?q=is%3Aopen+label%3A%22help+wanted%22) | [link](https://github.com/boostorg/json/issues) | [GSoC ideas](https://www.boost.org/development/gsoc.html) | |
| 315 | +| Open Robotics (ROS) ✨ | [link](https://github.com/ros2/rclcpp/issues?q=is%3Aopen+label%3A%22good+first+issue%22) | [link](https://github.com/ros2/rclcpp/issues?q=is%3Aopen+label%3A%22help+wanted%22) | [GSoC ideas](https://www.openrobotics.org/blog/google-summer-of-code) | |
| 316 | +| Godot Engine ✨ | [link](https://github.com/godotengine/godot/issues?q=is%3Aopen+label%3A%22good+first+issue%22) | [link](https://github.com/godotengine/godot/issues?q=is%3Aopen+label%3A%22help+wanted%22) | [GSoC results](https://godotengine.org/article/gsoc-2024-results/) | |
| 317 | +| CGAL ✨ | [link](https://github.com/CGAL/cgal/issues?q=is%3Aopen+label%3A%22good+first+issue%22) | N/A | [GSoC ideas](https://github.com/CGAL/cgal/wiki/Project-Ideas) | |
314 | 318 |
|
315 | 319 | --- |
316 | 320 |
|
|
424 | 428 |
|
425 | 429 | --- |
426 | 430 |
|
427 | | -## Quick Reference: URLs |
| 431 | +## F) C++ GSoC Orgs — Ranked by Idea List Depth × FAANG Trendiness |
| 432 | + |
| 433 | +> **Scoring method** |
| 434 | +> Each org is scored on two axes (1–5 each): |
| 435 | +> - **ILD** = *Idea List Depth* — number of project ideas, how well-documented they are, how many mentors are listed |
| 436 | +> - **FT** = *FAANG Trendiness* — how actively Google / Meta / Amazon / Apple / Netflix use or contribute to the project |
| 437 | +> - **Combined** = ILD + FT (max 10) |
| 438 | +> |
| 439 | +> Only C++ primary or C++ significant orgs are listed. |
| 440 | +> New entrants not in previous sections are marked ✨. |
| 441 | +
|
| 442 | +### Master Ranking Table |
| 443 | + |
| 444 | +| Rank | Combined | Org | ILD | FT | Primary FAANG users | GSoC Ideas | |
| 445 | +|------|----------|-----|-----|-----|---------------------|------------| |
| 446 | +| **1** | **10** | **LLVM** | ★★★★★ | ★★★★★ | Apple (primary maintainer), Google, Meta, Amazon, Netflix | [ideas](https://llvm.org/OpenProjects.html) | |
| 447 | +| **1** | **10** | **OpenCV** | ★★★★★ | ★★★★★ | Google Vision AI, Meta AR/Reels, Amazon Rekognition, Netflix VMAF | [ideas](https://github.com/opencv/opencv/wiki/GSoC_2024) | |
| 448 | +| **3** | **8** | **Boost C++ Libraries** ✨ | ★★★★☆ | ★★★★☆ | Google gRPC/Abseil uses Boost internals; Meta, Amazon C++ SDKs | [ideas](https://www.boost.org/development/gsoc.html) | |
| 449 | +| **3** | **8** | **Open Robotics (ROS)** ✨ | ★★★★☆ | ★★★★☆ | Amazon RoboMaker (primary sponsor), Google DeepMind, Meta FAIR | [ideas](https://www.openrobotics.org/blog/google-summer-of-code) | |
| 450 | +| **5** | **7** | **VideoLAN (VLC)** | ★★★★☆ | ★★★☆☆ | Apple QuickTime/FaceTime codecs; Meta Instagram video; Amazon Prime | [ideas](https://wiki.videolan.org/SoC_2024/) | |
| 451 | +| **5** | **7** | **Blender Foundation** | ★★★★☆ | ★★★☆☆ | Netflix original content pipeline; Amazon Deadline/ThinkBox; Google 3D | [ideas](https://developer.blender.org/docs/handbook/contributing/gsoc/) | |
| 452 | +| **7** | **6** | **KDE** | ★★★★☆ | ★★☆☆☆ | Qt used at Amazon/Apple; KDE apps less FAANG-direct | [ideas](https://community.kde.org/GSoC/2024/Ideas) | |
| 453 | +| **7** | **6** | **Godot Engine** ✨ | ★★★☆☆ | ★★★☆☆ | Amazon Luna, Netflix Games, Google Play Games, Meta Quest XR | [ideas](https://godotengine.org/article/gsoc-2024-results/) | |
| 454 | +| **7** | **6** | **CGAL** ✨ | ★★★☆☆ | ★★★☆☆ | Google Maps/Earth geometry; Apple Maps; Amazon Robotics; Meta spatial | [ideas](https://github.com/CGAL/cgal/wiki/Project-Ideas) | |
| 455 | +| **10** | **5** | **GNU Project** | ★★★☆☆ | ★★☆☆☆ | Foundational toolchain everywhere; less "trendy" in cutting-edge FAANG work | [ideas](https://www.gnu.org/software/soc-projects/ideas.html) | |
| 456 | + |
| 457 | +--- |
| 458 | + |
| 459 | +### Detailed Notes per Org (C++ focus) |
| 460 | + |
| 461 | +#### 🥇 Rank 1 — LLVM · Combined 10/10 |
| 462 | + |
| 463 | +**Idea List Depth ★★★★★:** https://llvm.org/OpenProjects.html lists 30+ project ideas with detailed descriptions, difficulty ratings, required prerequisites, and named mentor contacts. Ideas span Clang (C++ front end), LLVM IR optimizations, new sanitizers (ASAN/MSAN/UBSAN), loop transformations, MLIR dialects, LLDB debugger, and LLD linker — the most elaborate idea list of any GSoC C++ org. |
| 464 | + |
| 465 | +**FAANG Trendiness ★★★★★:** |
| 466 | +| FAANG | How they use LLVM | |
| 467 | +|-------|------------------| |
| 468 | +| **Apple** | Primary upstream maintainer; Clang is the **default compiler** for all macOS/iOS/Swift code; Apple engineers are top LLVM committers | |
| 469 | +| **Google** | Clang-Tidy, Clang-Format, ASAN/MSAN/UBSAN used in Chromium and Android; Google engineers are major LLVM contributors | |
| 470 | +| **Meta** | HHVM/Hack VM is LLVM-based; Meta's BOLT binary optimizer is in LLVM mainline; heavy clang-format/tidy use across Meta codebases | |
| 471 | +| **Amazon** | LLVM used in AWS Lambda execution environment, FreeRTOS, embedded SDKs | |
| 472 | +| **Netflix** | LLVM-based toolchain for CDN C++ services; uses LLVM sanitizers for QA | |
| 473 | + |
| 474 | +**Why malmom background helps:** Your `bit_io.cpp` and `huffman.cpp` are hand-rolled bit-manipulation — the exact domain of LLVM's bitstream encoding, MC layer, and TableGen backends. |
| 475 | + |
| 476 | +--- |
| 477 | + |
| 478 | +#### 🥇 Rank 1 — OpenCV · Combined 10/10 |
| 479 | + |
| 480 | +**Idea List Depth ★★★★★:** https://github.com/opencv/opencv/wiki/GSoC_2024 has 20+ well-defined ideas across deep neural network (DNN) module, video I/O, Python/Java bindings, SIMD optimizations, camera calibration, and new algorithms. Each idea includes expected outcomes, skills needed, and a mentor handle. |
| 481 | + |
| 482 | +**FAANG Trendiness ★★★★★:** |
| 483 | +| FAANG | How they use OpenCV | |
| 484 | +|-------|---------------------| |
| 485 | +| **Google** | Google Photos object recognition, Google Lens, Android Camera2 API internals, Google Vision AI | |
| 486 | +| **Meta** | Instagram/Facebook camera effects, AR filters, object detection in video; Meta AI research uses OpenCV for CV pipelines | |
| 487 | +| **Amazon** | Amazon Rekognition is CV at scale; Amazon Ring cameras use CV; Alexa Vision for Echo Show devices | |
| 488 | +| **Apple** | Core ML + Vision framework overlap heavily with OpenCV concepts; Apple uses similar algorithms internally | |
| 489 | +| **Netflix** | VMAF (video quality metric) uses frame-level CV analysis; Netflix research uses OpenCV for perceptual quality | |
| 490 | + |
| 491 | +**C++ entry point:** OpenCV's DNN module (`modules/dnn/`) is written in C++; good-first-issue labels lead directly to C++ work. |
| 492 | + |
| 493 | +--- |
| 494 | + |
| 495 | +#### 🥉 Rank 3 — Boost C++ Libraries ✨ · Combined 8/10 |
| 496 | + |
| 497 | +**GSoC page:** https://www.boost.org/development/gsoc.html |
| 498 | +**GitHub:** https://github.com/boostorg |
| 499 | + |
| 500 | +**Idea List Depth ★★★★☆:** Boost GSoC lists 15–20 ideas annually, typically improvements to existing libraries (Boost.Asio, Boost.Beast, Boost.Geometry, Boost.JSON) or new library proposals that go through the Boost review process. Ideas are well-described with mentor names. |
| 501 | + |
| 502 | +**FAANG Trendiness ★★★★☆:** |
| 503 | +| FAANG | How they use Boost | |
| 504 | +|-------|-------------------| |
| 505 | +| **Google** | gRPC C++ core uses Boost.Asio patterns; Chromium uses Boost concepts; Google's Abseil was partly inspired by Boost | |
| 506 | +| **Meta** | Meta's Proxygen HTTP framework and many internal C++ services include Boost headers | |
| 507 | +| **Amazon** | AWS C++ SDK uses Boost.Asio for async I/O; AWS IoT Device SDK uses Boost | |
| 508 | +| **Apple** | Boost libraries are used in Apple's open-source projects and internal C++ tooling | |
| 509 | +| **Netflix** | Netflix's CDN C++ services use Boost for networking (Asio) and string handling | |
| 510 | + |
| 511 | +**Why you:** Boost is the most "standardization-path" C++ org — many `std::` features (smart pointers, regex, filesystem) came from Boost. Your deep C++ background from malmom is the right foundation. |
| 512 | + |
| 513 | +**Newcomer path:** |
| 514 | +- Good first issues: https://github.com/boostorg/boost/issues?q=is%3Aopen+label%3A%22help+wanted%22 |
| 515 | +- Boost.JSON (modern JSON library): https://github.com/boostorg/json/issues |
| 516 | + |
| 517 | +--- |
| 518 | + |
| 519 | +#### 🥉 Rank 3 — Open Robotics / ROS ✨ · Combined 8/10 |
| 520 | + |
| 521 | +**GSoC page:** https://www.openrobotics.org/blog/google-summer-of-code |
| 522 | +**GitHub:** https://github.com/ros2/rclcpp |
| 523 | +**Org:** Open Source Robotics Foundation (OSRF) |
| 524 | + |
| 525 | +**Idea List Depth ★★★★☆:** ROS GSoC 2024 listed 15–20 ideas across ROS 2 core, simulation (Gazebo, now Ignition), navigation stack (Nav2), manipulation, and hardware interfaces. Ideas include C++ real-time improvements, rclcpp API enhancements, and new driver packages. |
| 526 | + |
| 527 | +**FAANG Trendiness ★★★★☆:** |
| 528 | +| FAANG | How they use ROS | |
| 529 | +|-------|-----------------| |
| 530 | +| **Amazon** | **Primary sponsor** of ROS 2; AWS RoboMaker runs ROS workloads; Amazon Robotics (warehouse robots) runs ROS; Amazon has dedicated OSS robotics engineers | |
| 531 | +| **Google** | Waymo (Alphabet) runs ROS-based systems for autonomous vehicles; Google DeepMind robotics uses ROS | |
| 532 | +| **Meta** | FAIR robotics lab uses ROS for manipulation research; Meta AI publishes ROS packages | |
| 533 | +| **Apple** | Minimal direct use, though Apple's lidar/spatial computing research touches robotic perception | |
| 534 | +| **Netflix** | Peripheral — not a robotics company | |
| 535 | + |
| 536 | +**C++ focus:** ROS 2's `rclcpp` library is pure modern C++ (C++17); the real-time executor and DDS middleware wrappers are deep C++ systems work. |
| 537 | + |
| 538 | +**Newcomer path:** |
| 539 | +- rclcpp good first issues: https://github.com/ros2/rclcpp/issues?q=is%3Aopen+label%3A%22good+first+issue%22 |
| 540 | +- ROS 2 docs: https://docs.ros.org/en/rolling/Contributing.html |
| 541 | + |
| 542 | +--- |
| 543 | + |
| 544 | +#### Rank 5 — VideoLAN (VLC) · Combined 7/10 |
| 545 | + |
| 546 | +**Idea List Depth ★★★★☆:** https://wiki.videolan.org/SoC_2024/ lists 10–15 C/C++ project ideas for codecs, subtitle rendering, hardware acceleration, and the mobile VLC port. Each idea has a difficulty rating and mentor. |
| 547 | + |
| 548 | +**FAANG Trendiness ★★★☆☆:** |
| 549 | +| FAANG | How they use VLC/VideoLAN codecs | |
| 550 | +|-------|----------------------------------| |
| 551 | +| **Apple** | macOS/iOS media framework uses H.264/H.265/AAC codecs from the same MPEG standards VLC implements | |
| 552 | +| **Meta** | Instagram/WhatsApp video streaming uses the same codec stack (H.264, Opus) VLC is built around | |
| 553 | +| **Amazon** | Amazon Prime Video CDN uses similar codec pipelines; Amazon uses libav (FFmpeg fork) for transcoding | |
| 554 | +| **Netflix** | Netflix's custom AV1/VP9 encoding pipeline shares conceptual work with VLC codec R&D | |
| 555 | +| **Google** | Less direct — Google uses custom codecs (VP9/AV1) but VLC implements them too | |
| 556 | + |
| 557 | +**C++ entry point:** VLC's C++ modules in `modules/` — subtitle renderer, Qt UI (VLC desktop is C++/Qt). |
| 558 | + |
| 559 | +--- |
| 560 | + |
| 561 | +#### Rank 5 — Blender Foundation · Combined 7/10 |
| 562 | + |
| 563 | +**Idea List Depth ★★★★☆:** https://developer.blender.org/docs/handbook/contributing/gsoc/ has 10–15 ideas across the Video Sequence Editor (VSE), geometry nodes (C++), Python API, and rendering. Ideas are well-documented with expected deliverables. |
| 564 | + |
| 565 | +**FAANG Trendiness ★★★☆☆:** |
| 566 | +| FAANG | How they use Blender | |
| 567 | +|-------|---------------------| |
| 568 | +| **Netflix** | Netflix has **directly funded Blender** development and uses it for original animation content (e.g., "Next Gen", "Invader Zim" test renders). Netflix is a Blender Development Fund member. | |
| 569 | +| **Amazon** | AWS ThinkBox (Deadline render manager) officially supports Blender render farms | |
| 570 | +| **Google** | Google uses Blender for some 3D product visualization and YouTube 3D content | |
| 571 | +| **Meta** | Meta Reality Labs uses Blender for XR asset creation pipelines | |
| 572 | +| **Apple** | Less direct, though USDZ assets for AR Quick Look are sometimes authored in Blender | |
| 573 | + |
| 574 | +**C++ entry point:** `source/blender/editors/space_sequencer/` (VSE), geometry nodes system, and the C++ modifier stack. |
| 575 | + |
| 576 | +--- |
| 577 | + |
| 578 | +#### Rank 7 — KDE · Combined 6/10 |
| 579 | + |
| 580 | +**Idea List Depth ★★★★☆:** https://community.kde.org/GSoC/2024/Ideas has 20+ ideas, but spread across many apps (Plasma, Kdenlive, Krita, Dolphin) — the C++ ones are primarily Kdenlive and KDE Frameworks. |
| 581 | + |
| 582 | +**FAANG Trendiness ★★☆☆☆:** Qt (KDE's framework) is used at Amazon (some internal tools), Apple (Safari uses WebKit which KDE created), but KDE-specific work is desktop-Linux-focused and not prominent in FAANG product pipelines. |
| 583 | + |
| 584 | +**C++ entry point:** Kdenlive (`invent.kde.org/multimedia/kdenlive`) — C++/Qt timeline, subtitle track, and audio waveform renderer. |
| 585 | + |
| 586 | +--- |
| 587 | + |
| 588 | +#### Rank 7 — Godot Engine ✨ · Combined 6/10 |
| 589 | + |
| 590 | +**GSoC page:** https://godotengine.org/article/gsoc-2024-results/ |
| 591 | +**GitHub:** https://github.com/godotengine/godot |
| 592 | + |
| 593 | +**Idea List Depth ★★★☆☆:** Godot's GSoC 2024 had ~12 ideas including renderer improvements (Vulkan/Metal), physics engine work, editor UI, and GDExtension C++ API. Ideas are adequately documented. |
| 594 | + |
| 595 | +**FAANG Trendiness ★★★☆☆:** |
| 596 | +| FAANG | How they use Godot | |
| 597 | +|-------|-------------------| |
| 598 | +| **Amazon** | Amazon Luna game streaming platform hosts Godot-built games; AWS GameLift supports Godot | |
| 599 | +| **Netflix** | Netflix Games publishes mobile games; some studios use Godot | |
| 600 | +| **Google** | Google Play Games supports Godot-built games; past Google Stadia had Godot titles | |
| 601 | +| **Meta** | Meta Quest store has Godot games; Godot 4 supports XR/VR via OpenXR (Meta's standard) | |
| 602 | +| **Apple** | App Store has many Godot iOS games; Apple Silicon is a Godot-supported target | |
| 603 | + |
| 604 | +**C++ entry point:** Godot's engine core is C++ — `scene/`, `servers/rendering/`, `modules/` are all C++. GDExtension allows writing C++ plugins. |
| 605 | + |
| 606 | +**Newcomer path:** |
| 607 | +- Good first issues: https://github.com/godotengine/godot/issues?q=is%3Aopen+label%3A%22good+first+issue%22 |
| 608 | +- Contributing guide: https://docs.godotengine.org/en/stable/contributing/ |
| 609 | + |
| 610 | +--- |
| 611 | + |
| 612 | +#### Rank 7 — CGAL ✨ · Combined 6/10 |
| 613 | + |
| 614 | +**GSoC page:** https://www.cgal.org/gsoc/2024.html |
| 615 | +**GitHub:** https://github.com/CGAL/cgal |
| 616 | + |
| 617 | +**Idea List Depth ★★★☆☆:** https://github.com/CGAL/cgal/wiki/Project-Ideas has 8–12 ideas focused on new geometry algorithms, performance improvements, and Python bindings. Ideas are technically deep but niche. |
| 618 | + |
| 619 | +**FAANG Trendiness ★★★☆☆:** |
| 620 | +| FAANG | How they use CGAL | |
| 621 | +|-------|------------------| |
| 622 | +| **Google** | Google Maps and Google Earth 3D building reconstruction uses computational geometry; Waymo autonomous driving uses polygon intersection | |
| 623 | +| **Apple** | Apple Maps 3D reconstruction and spatial computing (Vision Pro) rely on mesh geometry algorithms | |
| 624 | +| **Amazon** | Amazon Robotics uses computational geometry for path planning; AWS Location Services uses polygon operations | |
| 625 | +| **Meta** | Meta Quest spatial mapping uses mesh processing; Meta AI 3D reconstruction research uses similar techniques | |
| 626 | +| **Netflix** | Peripheral — 3D geometry is less central to streaming | |
| 627 | + |
| 628 | +**C++ entry point:** CGAL is header-only C++ (C++17); all algorithms are in `include/CGAL/`. New algorithm contributions follow a rigorous review process. |
| 629 | + |
| 630 | +**Newcomer path:** |
| 631 | +- Good first issues: https://github.com/CGAL/cgal/issues?q=is%3Aopen+label%3A%22good+first+issue%22 |
| 632 | +- Contributing guide: https://github.com/CGAL/cgal/blob/master/CONTRIBUTING.md |
| 633 | + |
| 634 | +--- |
| 635 | + |
| 636 | +#### Rank 10 — GNU Project · Combined 5/10 |
| 637 | + |
| 638 | +**Idea List Depth ★★★☆☆:** Varies by sub-project. gzip ideas are sparse; GNU Octave has more. Less structured than the higher-ranked orgs. |
| 639 | + |
| 640 | +**FAANG Trendiness ★★☆☆☆:** GNU toolchain (gcc, gdb, gzip, bash) is universally installed at FAANG but it's *foundational infrastructure*, not a technology FAANG actively invests in. The interesting work has largely shifted to LLVM/Clang (see Rank 1). |
| 641 | + |
| 642 | +**Still worth it if:** You want to contribute to gzip/DEFLATE (directly relevant to malmom) and value breadth over FAANG prestige. |
| 643 | + |
| 644 | +--- |
| 645 | + |
| 646 | +### C++ Org Quick-Select Guide |
| 647 | + |
| 648 | +| If your goal is… | Pick | |
| 649 | +|------------------|------| |
| 650 | +| Maximum resume impact at Google/Apple/Meta | **LLVM** | |
| 651 | +| Computer vision / AI / video pipeline roles | **OpenCV** | |
| 652 | +| Modern C++ networking / async (backend roles) | **Boost C++ Libraries** | |
| 653 | +| Robotics / autonomous systems roles | **Open Robotics (ROS)** | |
| 654 | +| Game engine / graphics / XR engineering roles | **Godot Engine** | |
| 655 | +| Geometry / spatial computing roles | **CGAL** | |
| 656 | +| Video editor / multimedia software roles | **Blender** or **VideoLAN** | |
| 657 | +| Best "first contribution" for C++ newcomer | **KDE / Kdenlive** (most welcoming) | |
428 | 658 |
|
429 | 659 | | Resource | URL | |
430 | 660 | |----------|-----| |
|
446 | 676 | | **Python Software Foundation** | https://github.com/python/cpython | |
447 | 677 | | **OpenCV** | https://github.com/opencv/opencv | |
448 | 678 | | **GNU Project** | https://www.gnu.org/software/software.html | |
| 679 | +| **Boost C++ Libraries** ✨ | https://github.com/boostorg/boost | |
| 680 | +| **Open Robotics (ROS)** ✨ | https://github.com/ros2/rclcpp | |
| 681 | +| **Godot Engine** ✨ | https://github.com/godotengine/godot | |
| 682 | +| **CGAL** ✨ | https://github.com/CGAL/cgal | |
0 commit comments