scg-lab 1.1.1

SCG Lab — Multi-language interactive notebook environment by Squid Consultancy Group

SCG Lab

An offline-capable, multi-language interactive notebook environment by Squid Consultancy Group.

Supports Python, R, JavaScript, Go, C, and C++.
Built-in AI assistant (Ollama, OpenAI, Anthropic, HuggingFace).
Runs entirely on your machine — no cloud required.

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Installation

pip install scg-lab

With AI provider support:

pip install "scg-lab[ai]"

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Quick Start

scg-lab          # launches browser at http://localhost:8765
scg-lab --port 9000

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Environment Management

# List environments
scg-lab env list

# Create a Python environment
scg-lab env create myenv --lang python

# Install packages into an environment
scg-lab env install myenv numpy pandas matplotlib

# Activate an environment
scg-lab env activate myenv

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AI Configuration

# Use local Ollama (default, no API key needed)
scg-lab config set ai.provider ollama
scg-lab config set ai.model llama3

# Use OpenAI
scg-lab config set ai.provider openai
scg-lab config set ai.openai_key sk-...

# Use Anthropic
scg-lab config set ai.provider anthropic
scg-lab config set ai.anthropic_key sk-ant-...

# Use HuggingFace
scg-lab config set ai.provider huggingface
scg-lab config set ai.hf_token hf_...

# Show config (keys masked)
scg-lab config show

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Supported Languages

Language	Requirements
Python	Built-in (uses ipykernel)
R	R + IRkernel (install.packages("IRkernel"); IRkernel::installspec())
JavaScript	Node.js
Go	Go toolchain
C	GCC
C++	G++

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Developer Build

cd frontend
npm install
npm run build    # outputs to ../scg_lab/static/

pip install -e ".[dev]"
scg-lab

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License

MIT © Squid Consultancy Group