🍒 Cherry-101

The First Program Ever Written in CherryScript

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"Cherry-101 was built by us at Cherry Computer Ltd. to prove that a domain-specific language could handle a full ML pipeline — cleanly, beautifully, and without compromise. This isn't just a demo; it's the beginning of something much bigger."

— Cherry Computer Ltd.

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🌟 What Is Cherry-101?

Cherry-101 is the very first program ever written in CherryScript — a pioneering domain-specific language designed from the ground up at Cherry Computer Ltd. to simplify and supercharge AI & machine learning development.

In one clean, streamlined language, Cherry-101 demonstrates a complete ML pipeline — from raw data queries all the way through to model training, deployment, and live predictions. No boilerplate. No patchwork of frameworks. Just CherryScript.

This project proves that domain-specific languages aren't just a novelty — they are the future of AI development tooling.

✨ Highlights at a Glance

Feature	Description
🍒 First-Ever CherryScript Program	Cherry-101 holds the historic distinction of being the very first program written in the CherryScript language
🤖 End-to-End ML Pipeline	Data → Training → Deployment → Predictions — all in one coherent script
⚡ H2O AutoML Integration	Leverages H2O's powerful AutoML for model selection and training
🗄️ Database-First Design	Native SQL querying baked directly into the language syntax
🚀 One-Command Deployment	Deploy trained models to live REST API endpoints with a single deploy() call
📊 Built-in Evaluation	Accuracy, precision, recall, F1, and confusion matrices out of the box
🏢 Enterprise Roots	Conceived, designed, and built by Cherry Computer Ltd.

🍒 About Cherry Computer Ltd.

╔══════════════════════════════════════════════════════════════╗
║                                                              ║
║              🍒  Cherry Computer Ltd.  🍒                   ║
║                                                              ║
║    We build tools that make AI development feel natural.     ║
║    Cherry-101 is our first public statement of intent —      ║
║    proof that the right language can change everything.      ║
║                                                              ║
╚══════════════════════════════════════════════════════════════╝

Cherry-101 was created by Cherry Computer Ltd. We are the team behind the CherryScript language, and Cherry-101 is our flagship demonstration that CherryScript is production-capable, expressive, and genuinely useful for real-world AI workflows.

We built this because we believe that ML engineers and data scientists deserve a language designed for them — one that speaks their vocabulary natively. CherryScript and Cherry-101 are our answer to that belief.

🚀 The CherryScript ML Pipeline

 ┌─────────────────────────────────────────────────────────────────────┐
 │                    CHERRY-101 PIPELINE FLOW                         │
 ├─────────────────────────────────────────────────────────────────────┤
 │                                                                     │
 │   🗄️  DATABASE          🔄  DATA PREP        🤖  MODEL TRAIN        │
 │  ┌──────────────┐      ┌──────────────┐      ┌──────────────┐      │
 │  │ MySQL / SQL  │─────▶│  H2O Frames  │─────▶│  H2O AutoML  │      │
 │  │ Queries via  │      │  Feature Eng │      │  Best Model  │      │
 │  │ CherryScript │      │  Validation  │      │  Selection   │      │
 │  └──────────────┘      └──────────────┘      └──────┬───────┘      │
 │                                                      │              │
 │   📊  EVALUATE          📈  PREDICT          🚀  DEPLOY             │
 │  ┌──────────────┐      ┌──────────────┐      ┌──────▼───────┐      │
 │  │ Accuracy     │◀─────│ Batch Preds  │◀─────│  FastAPI     │      │
 │  │ Precision    │      │ Live Scoring │      │  REST API    │      │
 │  │ Recall / F1  │      │ Test Dataset │      │  Endpoint    │      │
 │  └──────────────┘      └──────────────┘      └──────────────┘      │
 │                                                                     │
 └─────────────────────────────────────────────────────────────────────┘

📄 Quick-Start Example

Here's what a full ML pipeline looks like in CherryScript — the language Cherry-101 was written in:

// 🍒 Cherry-101 — Your First CherryScript ML Pipeline

// 1️⃣  Connect to your database
var db = connect("mysql://localhost:3306/ecommerce_db", "admin", "password")

// 2️⃣  Pull your training & test data
var training_data = db.query("SELECT * FROM orders_train WHERE status = 'completed'")
var test_data     = db.query("SELECT * FROM orders_test")

// 3️⃣  Prepare H2O data frames
var training_frame = h2o.frame(training_data)
var test_frame     = h2o.frame(test_data)

// 4️⃣  Train with AutoML — CherryScript picks the best model for you
var ml_model = h2o.automl(training_frame, "is_return")

// 5️⃣  Deploy to a live REST endpoint — one line, zero fuss
var api = deploy(ml_model, "http://localhost:8080/predict")

// 6️⃣  Predict & evaluate
var predictions = predict(ml_model, test_frame)
var metrics     = evaluate(predictions, "is_return", "results.json")

print("✅ Pipeline complete! Accuracy: ${metrics.accuracy * 100}%")

That's it. Database → AutoML → Deployment → Evaluation. In one script. In one language.

🗂️ Repository Structure

🍒 Cherry-101/
│
├── 📄 README.md                     ← You are here!
├── 📄 LICENSE                       ← Boost Software License 1.0
├── 📄 requirements.txt              ← Python dependencies
│
├── 📁 src/                          ← Core CherryScript runtime
│   ├── Cherry-101-__init__.py       ← Package init & version
│   ├── Cherry-101-interpreter.py   ← CherryScript interpreter engine
│   ├── Cherry-101-parser.py        ← Language parser & AST builder
│   ├── Cherry-101-adapters.py      ← DB & ML framework adapters
│   ├── Cherry-101-cli.py           ← Command-line interface
│   └── smoke_eval.json             ← Smoke test evaluation output
│
├── 📁 examples/                     ← CherryScript example programs
│   └── test.cherry-101             ← Full pipeline demo script
│
├── 📁 docs/                         ← Project documentation
│   └── ROADMAP.md                  ← Development timeline & milestones
│
└── 📁 tests/                        ← Test suite
    └── __init__.py

🛠️ Installation & Setup

Prerequisites

• Python 3.8+
• A running MySQL instance (for database adapter)
• H2O cluster (for AutoML features)

1. Clone the Repository

git clone https://github.com/Infinite-Networker/Cherry-101.git
cd Cherry-101

2. Install Dependencies

pip install -r requirements.txt

3. Run the Example Pipeline

python src/Cherry-101-cli.py examples/test.cherry-101

🗺️ Roadmap

Phase	Quarter	Theme	Status
🌱 v0.1.0	Q1 2024	Proof of Concept — Mock Implementations	✅ Complete
🔌 v0.5.0	Q2 2024	Real Integrations — MySQL, H2O, FastAPI	🔄 In Progress
🏭 v1.0.0	Q3 2024	Production Ready	⏳ Upcoming
🤖 v1.5.0	Q4 2024	Advanced ML — PyTorch, TensorFlow	⏳ Upcoming
🌐 v2.0.0	Q1 2025	Community Ecosystem — VS Code Extension	⏳ Upcoming
🏢 v2.5.0	Q2 2025	Enterprise Edition	⏳ Upcoming

📌 See the full ROADMAP.md for detailed milestones and progress tracking.

🤝 Contributing

We'd love your involvement in making CherryScript and Cherry-101 even better! Here's how to get started:

1. Fork this repository
2. Create a feature branch: git checkout -b feature/your-idea
3. Commit your changes: git commit -m "feat: add your feature"
4. Push to your branch: git push origin feature/your-idea
5. Open a Pull Request — we review promptly!

Please read our Contributing Guidelines and Code of Conduct before getting started.

📜 License

Cherry-101 is released under the Boost Software License 1.0.

Copyright (c) 2025 Cherry Computer Ltd.

See LICENSE for the full license text.

🔗 Related Projects

Project	Description	Link
🍒 CherryScript	The language that powers Cherry-101	→ Visit
🍒 Cherry-101	The first CherryScript program — you're here!	→ This Repo

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🍒 Cherry-101 is a product of Cherry Computer Ltd.

Made with ❤️ and a whole lot of 🍒 by the team at Cherry Computer Ltd.