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!
β οΈ 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!)
π€ Part 1: AI/ML Powerhouses (10 Organizations)
- π€ 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:
- Main: https://github.com/huggingface/transformers β 135k+
- Datasets: https://github.com/huggingface/datasets
- Diffusers: https://github.com/huggingface/diffusers
Why Join GSoC: Dominant player in open-source AI, massive community, educational mission
Getting Started:
- Browse "good first issue" labels
- Contribute to documentation (always needed!)
- Join their Discord: https://discuss.huggingface.co
Potential Projects: Model optimization, new tokenizers, inference improvements
- π¦βοΈ LangChain The Hottest Framework in AI Right Now
Focus: LLM application frameworks, agents, chains
Languages: Python, TypeScript/JavaScript
GitHub:
- Python: https://github.com/langchain-ai/langchain β 96k+
- JS/TS: https://github.com/langchain-ai/langchainjs β 13k+
- Templates: https://github.com/langchain-ai/langchain/tree/master/templates
Why Join GSoC: Fastest-growing LLM framework, huge community demand
Getting Started:
- Check issues tagged "good first issue" or "help wanted"
- Build a simple chain and document it
- Join Discord: https://discord.gg/langchain
Potential Projects: New integrations, prompt templates, testing frameworks
- π¨ Stability AI Open-Source Generative AI Leaders
Focus: Generative AI, Stable Diffusion, Image/Video Generation
Languages: Python, PyTorch, CUDA
GitHub:
- Stable Diffusion: https://github.com/Stability-AI/StableDiffusion β 39k+
- GenerativeModels: https://github.com/Stability-AI/generative-models β 24k+
- StableStudio: https://github.com/Stability-AI/StableStudio
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
- π¬ Anthropic (Claude) AI Safety & Responsible AI
Focus: AI safety, constitutional AI, interpretability
Languages: Python, Rust
GitHub:
- Anthropic Cookbook: https://github.com/anthropics/anthropic-cookbook β 6k+
- Python SDK: https://github.com/anthropics/anthropic-sdk-python β 1.8k+
- TypeScript SDK: https://github.com/anthropics/anthropic-sdk-typescript
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
- β‘ Ray Project (Anyscale) Distributed Computing for ML
Focus: Distributed ML, reinforcement learning, hyperparameter tuning
Languages: Python, C++
GitHub:
- Main: https://github.com/ray-project/ray β 34k+
- RLlib: https://github.com/ray-project/ray/tree/master/rllib
- Tune: https://github.com/ray-project/ray/tree/master/python/ray/tune
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
- π MLflow (Databricks) The Standard for ML Lifecycle Management
Focus: Experiment tracking, model registry, deployment
Languages: Python, Java, R
GitHub:
- Main: https://github.com/mlflow/mlflow β 19k+
- Examples: https://github.com/mlflow/mlflow/tree/master/examples
Why Join GSoC: Industry standard, backed by Databricks, huge adoption
Getting Started:
- Set up local MLflow server
- Contribute examples for new frameworks
- Join community Slack: https://mlflow.org/slack
Potential Projects: New integrations, UI improvements, deployment plugins
- π Weights & Biases ML Experiment Tracking & Collaboration
Focus: Experiment tracking, visualization, collaboration
Languages: Python, JavaScript/React, Go
GitHub:
- Client: https://github.com/wandb/wandb β 9k+
- Examples: https://github.com/wandb/examples
- Weave: https://github.com/wandb/weave
Why Join GSoC: Developer-focused tools, great for learning MLOps
Getting Started:
- Use W&B in personal projects
- Contribute integration examples
- Join community: https://wandb.ai/community
Potential Projects: New framework integrations, dashboard features, SDK improvements
- π ONNX Runtime (Microsoft) Cross-Platform ML Inference
Focus: Model inference optimization, cross-platform deployment
Languages: C++, Python, C#
GitHub:
- Main: https://github.com/microsoft/onnxruntime β 15k+
- Models: https://github.com/onnx/models
- Web: https://github.com/microsoft/onnxruntime/tree/main/js/web
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
- π fastai Making Deep Learning Accessible
Focus: Accessible deep learning, education, practical ML
Languages: Python, PyTorch
GitHub:
- fastai: https://github.com/fastai/fastai β 26k+
- fastbook: https://github.com/fastai/fastbook β 22k+
- course-v5: https://github.com/fastai/course22
Why Join GSoC: Educational mission perfectly aligns with GSoC goals
Getting Started:
- Complete the fastai course
- Contribute to documentation
- Join forums: https://forums.fast.ai
Potential Projects: New tutorials, library improvements, course materials
- π€ spaCy / Explosion AI Industrial-Strength NLP
Focus: Production NLP, named entity recognition, text processing
Languages: Python, Cython
GitHub:
- spaCy: https://github.com/explosion/spaCy β 30k+
- Prodigy: https://github.com/explosion/prodigy-recipes
- Thinc: https://github.com/explosion/thinc
Why Join GSoC: Leading NLP library, excellent documentation culture
Getting Started:
- Work through spaCy 101
- Add language support
- Join discussions: https://github.com/explosion/spaCy/discussions
Potential Projects: New language models, pipeline components, integrations
π Part 2: Security Organizations (6 Organizations)
- π¦ Falco (CNCF) Cloud-Native Runtime Security
Focus: Kubernetes security, threat detection, runtime monitoring
Languages: C++, Go
GitHub:
- Main: https://github.com/falcosecurity/falco β 7.5k+
- Plugins: https://github.com/falcosecurity/plugins
- Rules: https://github.com/falcosecurity/rules
Why Join GSoC: CNCF project, critical cloud security tool
Getting Started:
- Deploy Falco in local Kubernetes
- Write custom rules
- Join Slack: https://kubernetes.slack.com (#falco)
Potential Projects: New detection rules, plugin development, performance optimization
- π Trivy (Aqua Security) Comprehensive Container Security Scanner
Focus: Container security, vulnerability scanning, IaC scanning
Languages: Go
GitHub:
- Main: https://github.com/aquasecurity/trivy β 24k+
- Plugins: https://github.com/aquasecurity/trivy-plugin-aqua
- DB: https://github.com/aquasecurity/trivy-db
Why Join GSoC: Most popular container scanner, active development
Getting Started:
- Scan containers in your projects
- Add new scanners or detectors
- Join discussions: https://github.com/aquasecurity/trivy/discussi ons
Potential Projects: New language support, policy engines, CI/CD integrations
- π― Semgrep (r2c) Fast, Flexible Static Analysis
Focus: Static analysis, code security, custom rules
Languages: Python, OCaml
GitHub:
- Main: https://github.com/semgrep/semgrep β 11k+
- Rules: https://github.com/semgrep/semgrep-rules β 2k+
- VSCode: https://github.com/semgrep/semgrep-vscode
Why Join GSoC: Modern approach to code security, great docs
Getting Started:
- Write custom Semgrep rules
- Scan your own code
- Join community: https://go.semgrep.dev/slack
Potential Projects: New language support, IDE plugins, rule libraries
- π₯ Nuclei (ProjectDiscovery) Fast Vulnerability Scanner
Focus: Vulnerability scanning, templates, automation
Languages: Go
GitHub:
- Main: https://github.com/projectdiscovery/nuclei β 21k+
- Templates: https://github.com/projectdiscovery/nuclei-templates β 10k+
- Docs: https://github.com/projectdiscovery/nuclei-docs
Why Join GSoC: Huge template library, active community
Getting Started:
- Write custom templates
- Contribute to template library
- Join Discord: https://discord.gg/projectdiscovery
Potential Projects: New detection logic, automation features, integration tools
- π Metasploit (Rapid7) The Penetration Testing Framework
Focus: Penetration testing, exploits, security research
Languages: Ruby, Python, C
GitHub:
- Framework: https://github.com/rapid7/metasploit-framework β 34k+
- Payloads: https://github.com/rapid7/metasploit-payloads
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
- π‘οΈ Snyk Developer Security Platform
Focus: DevSecOps, dependency scanning, security-as-code
Languages: TypeScript, Go, Java
GitHub:
- CLI: https://github.com/snyk/cli β 4.9k+
- VSCode: https://github.com/snyk/vscode-extension
- Actions: https://github.com/snyk/actions
Why Join GSoRes: Developer-first security, growing fast
Getting Started:
- Use Snyk CLI in projects
- Contribute to open-source integrations
- Join community: https://snyk.io/community
Potential Projects: New integrations, policy engines, reporting tools
π‘οΈπ€ Part 3: AI + Security Intersection (4 Organizations)
- π― Adversarial Robustness Toolbox (ART) IBM Research - ML Security
Focus: Adversarial attacks, defenses, robustness testing
Languages: Python
GitHub:
- Main: https://github.com/Trusted-AI/adversarial-robustness-toolbox β 4.9k+
- Examples: https://github.com/Trusted-AI/adversarial-robustness-toolbox/tree/main/examples
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
- πͺ CleverHans Google Brain - ML Security Library
Focus: ML security benchmarking, adversarial examples
Languages: Python, TensorFlow, JAX
GitHub:
- Main: https://github.com/cleverhans-lab/cleverhans β 6.2k+
- Blog: https://github.com/cleverhans-lab/cleverhans-blog
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
- π PySyft (OpenMined) Privacy-Preserving Machine Learning
Focus: Federated learning, differential privacy, encrypted computation
Languages: Python, Rust
GitHub:
- Main: https://github.com/OpenMined/PySyft β 9.5k+
- Courses: https://github.com/OpenMined/courses
- PyGrid: https://github.com/OpenMined/PyGrid
Why Join GSoC: Privacy + AI is critical, great community
Getting Started:
- Complete OpenMined courses
- Join Slack: https://slack.openmined.org
- Contribute to tutorials
Potential Projects: Federated learning algorithms, privacy tools, educational content
- π TensorFlow Privacy Google - Privacy in Machine Learning
Focus: Differential privacy, private ML training
Languages: Python, TensorFlow
GitHub:
- Main: https://github.com/tensorflow/privacy β 2k+
- Tutorials: https://github.com/tensorflow/privacy/tree/master/tutorials
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
π Part 4: Emerging Technologies (10 Organizations)
- π¦ WebAssembly Security Securing the Web's Future
Focus: WASM runtime security, sandboxing
Languages: Rust, C++, AssemblyScript
GitHub:
- Wasmtime: https://github.com/bytecodealliance/wasmtime β 16k+
- WASI: https://github.com/WebAssembly/WASI
- Wasmer: https://github.com/wasmerio/wasmer β 19k+
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
- π Cilium (CNCF) eBPF-Based Networking & Security
Focus: Kubernetes networking, eBPF, security policies
Languages: Go, C
GitHub:
- Main: https://github.com/cilium/cilium β 20k+
- Hubble: https://github.com/cilium/hubble
- Tetragon: https://github.com/cilium/tetragon
Why Join GSoC: CNCF project, cutting-edge networking
Getting Started:
- Deploy Cilium locally
- Study eBPF basics
- Join Slack: https://cilium.io/slack
Potential Projects: Network policies, observability features, performance optimization
- ποΈ Sigstore (Linux Foundation) Software Supply Chain Security
Focus: Code signing, transparency logs, artifact verification
Languages: Go, Python
GitHub:
- Cosign: https://github.com/sigstore/cosign β 4.5k+
- Fulcio: https://github.com/sigstore/fulcio
- Rekor: https://github.com/sigstore/rekor
Why Join GSoC: Critical security infrastructure, Linux Foundation
Getting Started:
- Sign container images
- Study transparency logs
- Join community: https://sigstore.dev/community
Potential Projects: New integrations, tooling, educational materials
- π SLSA (Supply Levels for Software Artifacts) Framework for Supply Chain Security
Focus: Build provenance, supply chain hardening
Languages: Various (Go, Python, TypeScript)
GitHub:
- Specification: https://github.com/slsa-framework/slsa β 1.5k+
- Tooling: https://github.com/slsa-framework/slsa-github-generator
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
- πͺ Jupyter AI AI-Powered Notebooks
Focus: AI assistants for notebooks, code generation
Languages: Python, TypeScript, React
GitHub:
- Main: https://github.com/jupyterlab/jupyter-ai β 3.2k+
- Chat: https://github.com/jupyterlab/jupyter-ai/tree/main/packages/jupyter-ai
Why Join GSoC: NumFOCUS umbrella, practical AI applications
Getting Started:
- Install Jupyter AI
- Use AI magics in notebooks
- Join Gitter: https://gitter.im/jupyterlab/jupyter-ai
Potential Projects: New AI providers, notebook features, UX improvements
- π€ AutoGPT / AutoGen (Microsoft) Autonomous AI Agents
Focus: Agent frameworks, multi-agent systems, automation
Languages: Python
GitHub:
- AutoGPT: https://github.com/Significant-Gravitas/AutoGPT β 170k+
- AutoGen: https://github.com/microsoft/autogen β 34k+
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
- π― OpenTelemetry Observability Framework
Focus: Distributed tracing, metrics, logs
Languages: Go, Java, Python, JavaScript
GitHub:
- Specification: https://github.com/open-telemetry/opentelemetry-specification β 3.8k+
- Collector: https://github.com/open-telemetry/opentelemetry-collector β 4.5k+
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
- π¬ Evidently AI ML Monitoring & Testing
Focus: Model monitoring, data drift, ML testing
Languages: Python
GitHub:
- Main: https://github.com/evidentlyai/evidently β 5.3k+
- Examples: https://github.com/evidentlyai/evidently/tree/main/examples
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
- π¨ Gradio (Hugging Face) ML Demo Platform
Focus: ML app interfaces, demos, sharing models
Languages: Python, JavaScript/Svelte
GitHub:
- Main: https://github.com/gradio-app/gradio β 34k+
- Blocks: https://github.com/gradio-app/gradio/tree/main/gradio/blocks
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
- π§ͺ Great Expectations Data Quality & Testing
Focus: Data validation, testing, quality assurance
Languages: Python
GitHub:
- Main: https://github.com/great-expectations/great_expectations β 10k+
- Contrib: https://github.com/great-expectations/great_expectations_contrib
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
π― Your Action Plan: Start Contributing NOW!
Week 1-2: Research & Setup
- Pick 3-5 organizations from this list that excite you
- Star their repos on GitHub
- Join their Discord/Slack channels
- Set up development environment
- Read contributing guidelines
Week 3-4: First Contributions
- Fix typos in documentation (yes, this counts!)
- Add code examples or tutorials
- Report bugs with detailed reproduction steps
- Answer questions in discussions/forums
- Improve README or getting started guides
Week 5-8: Deeper Engagement
- Fix "good first issue" bugs
- Add tests for existing features
- Implement small feature requests
- Review other people's PRs
- Attend community meetings
Week 9-12: Becoming a Contributor
- Implement medium-sized features
- Help onboard new contributors
- Propose new ideas
- Build relationships with mentors
- Target: 3-5 merged PRs minimum
π 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:
- Docker - Many projects use containers
- Testing - Unit tests, integration tests
- CI/CD - GitHub Actions basics
- 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
π 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
π‘ Pro Tips from Previous GSoC Students
- Quality Over Quantity
"I got accepted with just 2 PRs, but they were substantial feature additions, not just typo fixes." - Sarah, GSoC 2025
- 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
- Start Early
"Don't wait for the official announcement. I started contributing in December and had 6 PRs by application time." - Maria, GSoC 2025
- Be Strategic
"Pick organizations based on your career goals, not just what's easy. GSoC opened doors to my dream job." - Chen, GSoC 2023
- Network Actively
"The friends I made during GSoC are now my startup co-founders!" - Alex, GSoC 2024
π€ 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).
π 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)
π By the Numbers: What Languages to Learn
Based on these 30 predicted organizations:
Python: ββββββββββββββββββββββββ 24 orgs (80%)
Go: ββββββββββββ 12 orgs (40%)
TypeScript: ββββββ 6 orgs (20%)
C++: βββββ 5 orgs (17%)
Rust: ββββ 5 orgs (17%)
Java: ββ 2 orgs (7%)
Ruby: β 1 org (3%)
OCaml: β 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:
β
Real open-source contributions
β
Industry-relevant skills
β
Network of mentors and peers
β
Portfolio projects
β
Possible job opportunities
The best GSoC proposals come from students who are already active contributors to the organization. Start building those relationships now!
π€ Let's Stay Connected!
I'll be updating this post as official information comes out.
What you can do:
β Bookmark this post
π¬ Comment below with which org you're targeting
π Follow me for updates when the official list drops
π€ Connect with other aspiring GSoCers in the comments
P.S. If this post helped you, consider:
β Giving it a reaction
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Good luck, future GSoC contributors! See you in the code!
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