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GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW!

Google announced expanded AI/Security/ML focus for GSoC 2026. Here are my predictions for the 30 new organizations joining, complete with GitHub links and contribution strategies

Hey developers!
If you're like me, you've been refreshing the GSoC page waiting for the 2026 organization announcement. Well, I couldn't wait either, so I did some detective work!

Big News: Google announced they're expanding their focus on AI, Security, and Machine Learning for GSoC 2026, welcoming approximately 30 new organizations to join the program.
After analyzing industry trends, GitHub stars, community engagement, and the tech landscape, here are my bold predictions for which organizations will join GSoC 2026!

⚠️ Disclaimer: These are PREDICTIONS based on Google's announcement and current trends. Official organizations will be announced on February 27, 2026. But why wait? Start contributing NOW!

** Quick Stats Before We Dive In**

  • Total Predicted New Orgs: 30
  • Focus Areas: AI/ML (10), Security (6), AI+Security (4), Emerging Tech (10)
  • Most Common Language: Python (appears in 24/30 orgs!)
  • Second Most Common: Go (12/30 orgs)
  • Dark Horse: Rust (5/30 orgs - growing fast!)

πŸ€– Part 1: AI/ML Powerhouses (10 Organizations)

  1. πŸ€— Hugging Face Why They're Perfect for GSoC: The GitHub of AI models with 100k+ stars across repos

Focus: Transformers, NLP, LLMs, Model Hub
Languages: Python, PyTorch, Rust
GitHub:

Why Join GSoC: Dominant player in open-source AI, massive community, educational mission
Getting Started:

Potential Projects: Model optimization, new tokenizers, inference improvements

  1. πŸ¦œβ›“οΈ LangChain The Hottest Framework in AI Right Now

Focus: LLM application frameworks, agents, chains
Languages: Python, TypeScript/JavaScript
GitHub:

Why Join GSoC: Fastest-growing LLM framework, huge community demand
Getting Started:

Potential Projects: New integrations, prompt templates, testing frameworks

  1. 🎨 Stability AI Open-Source Generative AI Leaders

Focus: Generative AI, Stable Diffusion, Image/Video Generation
Languages: Python, PyTorch, CUDA
GitHub:

Why Join GSoC: Commitment to open-source, cutting-edge research
Getting Started:

  • Run models locally first
  • Improve documentation or examples
  • Optimize inference code

Potential Projects: Model compression, new architectures, UI improvements

  1. πŸ”¬ Anthropic (Claude) AI Safety & Responsible AI

Focus: AI safety, constitutional AI, interpretability
Languages: Python, Rust
GitHub:

Why Join GSoC: Growing open-source presence, focus on safety aligns with educational goals
Getting Started:

  • Study the cookbook examples
  • Contribute new use cases
  • Improve SDK documentation

Potential Projects: Safety tools, prompt engineering helpers, evaluation frameworks

  1. ⚑ Ray Project (Anyscale) Distributed Computing for ML

Focus: Distributed ML, reinforcement learning, hyperparameter tuning
Languages: Python, C++
GitHub:

Why Join GSoC: Critical infrastructure for scaling ML workloads
Getting Started:

  • Start with Ray Core tutorials
  • Fix documentation issues
  • Join community Slack

Potential Projects: New algorithms for RLlib, distributed training improvements, monitoring tools

  1. πŸ”„ MLflow (Databricks) The Standard for ML Lifecycle Management

Focus: Experiment tracking, model registry, deployment
Languages: Python, Java, R
GitHub:

Why Join GSoC: Industry standard, backed by Databricks, huge adoption
Getting Started:

Potential Projects: New integrations, UI improvements, deployment plugins

  1. πŸ“Š Weights & Biases ML Experiment Tracking & Collaboration

Focus: Experiment tracking, visualization, collaboration
Languages: Python, JavaScript/React, Go
GitHub:

Why Join GSoC: Developer-focused tools, great for learning MLOps
Getting Started:

Potential Projects: New framework integrations, dashboard features, SDK improvements

  1. πŸ”€ ONNX Runtime (Microsoft) Cross-Platform ML Inference

Focus: Model inference optimization, cross-platform deployment
Languages: C++, Python, C#
GitHub:

Why Join GSoC: Microsoft backing, critical for production ML
Getting Started:

  • Convert models to ONNX format
  • Run benchmarks
  • Improve documentation

Potential Projects: Hardware acceleration, model optimization, mobile deployment

  1. πŸŽ“ fastai Making Deep Learning Accessible

Focus: Accessible deep learning, education, practical ML
Languages: Python, PyTorch
GitHub:

Why Join GSoC: Educational mission perfectly aligns with GSoC goals
Getting Started:

Potential Projects: New tutorials, library improvements, course materials

  1. πŸ”€ spaCy / Explosion AI Industrial-Strength NLP

Focus: Production NLP, named entity recognition, text processing
Languages: Python, Cython
GitHub:

Why Join GSoC: Leading NLP library, excellent documentation culture
Getting Started:

Potential Projects: New language models, pipeline components, integrations

πŸ”’ Part 2: Security Organizations (6 Organizations)

  1. πŸ¦… Falco (CNCF) Cloud-Native Runtime Security

Focus: Kubernetes security, threat detection, runtime monitoring
Languages: C++, Go
GitHub:

Why Join GSoC: CNCF project, critical cloud security tool
Getting Started:

Potential Projects: New detection rules, plugin development, performance optimization

  1. πŸ” Trivy (Aqua Security) Comprehensive Container Security Scanner

Focus: Container security, vulnerability scanning, IaC scanning
Languages: Go
GitHub:

Why Join GSoC: Most popular container scanner, active development
Getting Started:

Potential Projects: New language support, policy engines, CI/CD integrations

  1. 🎯 Semgrep (r2c) Fast, Flexible Static Analysis

Focus: Static analysis, code security, custom rules
Languages: Python, OCaml
GitHub:

Why Join GSoC: Modern approach to code security, great docs
Getting Started:

Potential Projects: New language support, IDE plugins, rule libraries

  1. πŸ’₯ Nuclei (ProjectDiscovery) Fast Vulnerability Scanner

Focus: Vulnerability scanning, templates, automation
Languages: Go
GitHub:

Why Join GSoC: Huge template library, active community
Getting Started:

Potential Projects: New detection logic, automation features, integration tools

  1. 🎭 Metasploit (Rapid7) The Penetration Testing Framework

Focus: Penetration testing, exploits, security research
Languages: Ruby, Python, C
GitHub:

Why Join GSoC: Industry standard, enormous learning opportunity
Getting Started:

  • Set up Metasploit in Kali Linux
  • Study existing modules
  • Read contributing guide carefully

Potential Projects: New modules, automation scripts, payload development

  1. πŸ›‘οΈ Snyk Developer Security Platform

Focus: DevSecOps, dependency scanning, security-as-code
Languages: TypeScript, Go, Java
GitHub:

Why Join GSoRes: Developer-first security, growing fast
Getting Started:

Potential Projects: New integrations, policy engines, reporting tools

πŸ›‘οΈπŸ€– Part 3: AI + Security Intersection (4 Organizations)

  1. 🎯 Adversarial Robustness Toolbox (ART) IBM Research - ML Security

Focus: Adversarial attacks, defenses, robustness testing
Languages: Python
GitHub:

Why Join GSoC: Critical research area, IBM backing
Getting Started:

  • Run attack examples
  • Implement new attacks or defenses
  • Study research papers

Potential Projects: New attack methods, defense mechanisms, benchmarking tools

  1. πŸŽͺ CleverHans Google Brain - ML Security Library

Focus: ML security benchmarking, adversarial examples
Languages: Python, TensorFlow, JAX
GitHub:

Why Join GSoC: Google Brain project, research-focused
Getting Started:

  • Study adversarial examples
  • Reproduce paper results
  • Implement new attacks

Potential Projects: New benchmarks, attack implementations, defensive techniques

  1. πŸ” PySyft (OpenMined) Privacy-Preserving Machine Learning

Focus: Federated learning, differential privacy, encrypted computation
Languages: Python, Rust
GitHub:

Why Join GSoC: Privacy + AI is critical, great community
Getting Started:

Potential Projects: Federated learning algorithms, privacy tools, educational content

  1. πŸ”’ TensorFlow Privacy Google - Privacy in Machine Learning

Focus: Differential privacy, private ML training
Languages: Python, TensorFlow
GitHub:

Why Join GSoC: Google project, cutting-edge privacy research
Getting Started:

  • Study differential privacy basics
  • Run tutorial notebooks
  • Understand privacy budgets

Potential Projects: New privacy mechanisms, benchmarking, optimization

🌟 Part 4: Emerging Technologies (10 Organizations)

  1. πŸ¦€ WebAssembly Security Securing the Web's Future

Focus: WASM runtime security, sandboxing
Languages: Rust, C++, AssemblyScript
GitHub:

Why Join GSoC: Future of web and edge computing
Getting Started:

  • Build simple WASM modules
  • Study security model
  • Join community chats

Potential Projects: Security tooling, fuzzing, runtime improvements

  1. 🐝 Cilium (CNCF) eBPF-Based Networking & Security

Focus: Kubernetes networking, eBPF, security policies
Languages: Go, C
GitHub:

Why Join GSoC: CNCF project, cutting-edge networking
Getting Started:

Potential Projects: Network policies, observability features, performance optimization

  1. πŸ–ŠοΈ Sigstore (Linux Foundation) Software Supply Chain Security

Focus: Code signing, transparency logs, artifact verification
Languages: Go, Python
GitHub:

Why Join GSoC: Critical security infrastructure, Linux Foundation
Getting Started:

Potential Projects: New integrations, tooling, educational materials

  1. πŸ”— SLSA (Supply Levels for Software Artifacts) Framework for Supply Chain Security

Focus: Build provenance, supply chain hardening
Languages: Various (Go, Python, TypeScript)
GitHub:

Why Join GSoC: Google-led, increasingly important
Getting Started:

  • Understand SLSA levels
  • Implement in your projects
  • Study provenance

Potential Projects: Framework implementations, verification tools, documentation

  1. πŸͺ Jupyter AI AI-Powered Notebooks

Focus: AI assistants for notebooks, code generation
Languages: Python, TypeScript, React
GitHub:

Why Join GSoC: NumFOCUS umbrella, practical AI applications
Getting Started:

Potential Projects: New AI providers, notebook features, UX improvements

  1. πŸ€– AutoGPT / AutoGen (Microsoft) Autonomous AI Agents

Focus: Agent frameworks, multi-agent systems, automation
Languages: Python
GitHub:

Why Join GSoC: Hottest area in AI, massive community interest
Getting Started:

  • Run example agents
  • Build custom agents
  • Join Discord communities

Potential Projects: New agent capabilities, tools, safety mechanisms

  1. 🎯 OpenTelemetry Observability Framework

Focus: Distributed tracing, metrics, logs
Languages: Go, Java, Python, JavaScript
GitHub:

Why Join GSoC: CNCF, critical for modern systems
Getting Started:

  • Instrument an application
  • Study semantic conventions
  • Join CNCF Slack

Potential Projects: New exporters, instrumentation libraries, tooling

  1. πŸ”¬ Evidently AI ML Monitoring & Testing

Focus: Model monitoring, data drift, ML testing
Languages: Python
GitHub:

Why Join GSoC: Critical for production ML, growing fast
Getting Started:

  • Monitor your models
  • Create custom metrics
  • Join Discord

Potential Projects: New metrics, integrations, dashboard features

  1. 🎨 Gradio (Hugging Face) ML Demo Platform

Focus: ML app interfaces, demos, sharing models
Languages: Python, JavaScript/Svelte
GitHub:

Why Join GSoC: Hugging Face backing, rapid growth
Getting Started:

  • Build demo apps
  • Create custom components
  • Join Discord

Potential Projects: New components, integrations, performance improvements

  1. πŸ§ͺ Great Expectations Data Quality & Testing

Focus: Data validation, testing, quality assurance
Languages: Python
GitHub:

Why Join GSoC: Critical for data pipelines, mature project
Getting Started:

  • Validate your datasets
  • Create custom expectations
  • Join Slack

Potential Projects: New expectations, integrations, performance optimization

🎯 Your Action Plan: Start Contributing NOW!
Week 1-2: Research & Setup

  1. Pick 3-5 organizations from this list that excite you
  2. Star their repos on GitHub
  3. Join their Discord/Slack channels
  4. Set up development environment
  5. Read contributing guidelines

Week 3-4: First Contributions

  1. Fix typos in documentation (yes, this counts!)
  2. Add code examples or tutorials
  3. Report bugs with detailed reproduction steps
  4. Answer questions in discussions/forums
  5. Improve README or getting started guides

Week 5-8: Deeper Engagement

  1. Fix "good first issue" bugs
  2. Add tests for existing features
  3. Implement small feature requests
  4. Review other people's PRs
  5. Attend community meetings

Week 9-12: Becoming a Contributor

  1. Implement medium-sized features
  2. Help onboard new contributors
  3. Propose new ideas
  4. Build relationships with mentors
  5. Target: 3-5 merged PRs minimum

πŸ“š Essential Skills to Learn NOW
Must-Have (Learn First):

1.Git & GitHub - Absolute requirement

  • Branching, PRs, rebasing
  • Writing good commit messages
  • Code review etiquette

2.Python - Used by 80% of these orgs

  • Virtual environments
  • Package management (pip, poetry)
  • Testing with pytest

3.Documentation - Often overlooked but valued!

  • Markdown
  • Technical writing
  • API documentation

Highly Recommended:

  1. Docker - Many projects use containers
  2. Testing - Unit tests, integration tests
  3. CI/CD - GitHub Actions basics
  4. Linux CLI - Basic commands, shell scripting

Nice to Have:

8.Go - For security/cloud projects
9.TypeScript - For full-stack projects
10.Rust - Emerging, great for systems programming

πŸŽ“ Learning Resources
Free Courses:

  • Python: Real Python, Python.org tutorials
  • Git: GitHub Learning Lab, learngitbranching.js.org
  • Docker: Docker's official tutorial
  • Go: Tour of Go (tour.golang.org)
  • Rust: The Rust Book (doc.rust-lang.org/book)

AI/ML Specific:

  • fastai Course: course.fast.ai (FREE!)
  • Hugging Face Course: huggingface.co/learn
  • DeepLearning.AI: coursera.org/specializations/deep-learning
  • PyTorch Tutorials: pytorch.org/tutorials

Security Specific:

  • OverTheWire: overthewire.org/wargames
  • HackTheBox: hackthebox.com (free tier)
  • OWASP Top 10: owasp.org/www-project-top-ten

πŸ’‘ Pro Tips from Previous GSoC Students

  1. Quality Over Quantity

"I got accepted with just 2 PRs, but they were substantial feature additions, not just typo fixes." - Sarah, GSoC 2025

  1. Communication is Key

"I didn't get the org I wanted on first try. But I stayed active in the community, and when I applied again, I got in!" - Raj, GSoC 2024

  1. Start Early

"Don't wait for the official announcement. I started contributing in December and had 6 PRs by application time." - Maria, GSoC 2025

  1. Be Strategic

"Pick organizations based on your career goals, not just what's easy. GSoC opened doors to my dream job." - Chen, GSoC 2023

  1. Network Actively

"The friends I made during GSoC are now my startup co-founders!" - Alex, GSoC 2024

πŸ€” FAQ
Q: Can I contribute to multiple organizations?
A: Yes! In fact, it's recommended. Apply to 2-3 orgs to increase your chances.

Q: Do I need to be an expert to contribute?
A: No! Start with documentation, tests, or "good first issues." Everyone starts somewhere.

Q: What if I don't know Python/Go/Rust?
A: Learn one language well. Python is the best choice for beginners (covers 80% of orgs).

Q: How many hours per week should I contribute?
A: Start with 5-10 hours/week. Quality matters more than quantity.

Q: What's the acceptance rate?
A: Varies by org: 10-40%. Better proposals + more contributions = higher chances.

Q: Can I do GSoC if I'm working/in school?
A: Yes, but GSoC is full-time during summer (175-350 hours total commitment).

🌟 Organizations Most Likely to Accept New Contributors
Based on historical data and community culture:
High Acceptance Rate (Good for First-Timers):

  • fastai (educational mission)
  • Great Expectations (welcoming community)
  • Evidently AI (growing, needs contributors)
  • Gradio (beginner-friendly)
  • Jupyter AI (NumFOCUS support)

Medium Difficulty (Moderate Competition):

  • Hugging Face (lots of slots)
  • LangChain (fast-growing)
  • Trivy (active development)
  • Semgrep (modern codebase)
  • PySyft (specialized but welcoming)

Highly Competitive (Expert Level):

  • AutoGPT/AutoGen (massive popularity)
  • Ray Project (complex system)
  • ONNX Runtime (Microsoft standards)
  • Metasploit (requires security expertise)
  • Cilium (deep technical knowledge)

πŸ“Š By the Numbers: What Languages to Learn
Based on these 30 predicted organizations:
Python: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 24 orgs (80%)
Go: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 12 orgs (40%)
TypeScript: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 6 orgs (20%)
C++: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 5 orgs (17%)
Rust: β–ˆβ–ˆβ–ˆβ–ˆ 5 orgs (17%)
Java: β–ˆβ–ˆ 2 orgs (7%)
Ruby: β–ˆ 1 org (3%)
OCaml: β–ˆ 1 org (3%)
Recommendation: Learn Python first, then pick a second language based on your interests:

  • Security β†’ Go or Rust
  • Systems Programming β†’ C++ or Rust
  • Full-Stack β†’ TypeScript
  • Enterprise β†’ Java

** Final Thoughts**
The official GSoC 2026 organizations will be announced on February 27, 2026, but that's only 20 days away! Don't wait!
Start contributing TODAY to the organizations on this list. Even if some don't make it into GSoC 2026, you'll have:

βœ… Real open-source contributions
βœ… Industry-relevant skills
βœ… Network of mentors and peers
βœ… Portfolio projects
βœ… Possible job opportunities

The best GSoC proposals come from students who are already active contributors to the organization. Start building those relationships now!

🀝 Let's Stay Connected!
I'll be updating this post as official information comes out.
What you can do:

⭐ Bookmark this post
πŸ’¬ Comment below with which org you're targeting
πŸ”” Follow me for updates when the official list drops
🀝 Connect with other aspiring GSoCers in the comments

P.S. If this post helped you, consider:

⭐ Giving it a reaction
πŸ’Ύ Saving it for later
πŸ”„ Sharing with friends who might be interested
πŸ’¬ Commenting with your GSoC goals!

Good luck, future GSoC contributors! See you in the code!

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