Developer Tools
Powerful tools and SDKs to build, deploy, and monitor AI applications on AetherNet's edge infrastructure.
AetherNet CLI
v2.1.0
Available
Command-line interface for managing deployments and monitoring
Development
SDK Libraries
v1.8.2
Available
Official SDKs for Python, JavaScript, Go, and Rust
Development
Dashboard API
v0.9.1
Beta
RESTful API for building custom monitoring dashboards
Monitoring
Data Pipeline Tools
v1.5.0
Available
ETL tools for processing and analyzing edge compute data
Analytics
Model Optimizer
v1.0.0
Coming Soon
Optimize AI models for edge deployment and inference
AI/ML
Network Simulator
v0.7.3
Beta
Test and simulate edge network conditions
Testing
Integration Examples
Quick start examples for common use cases
Python SDK
# Install AetherNet SDK
pip install aethernet-sdk
# Deploy AI model
from aethernet import EdgeClient
client = EdgeClient(api_key="your_key")
client.deploy_model("model.onnx")
CLI Usage
# Login to AetherNet
aethernet auth login
# Deploy to edge
aethernet deploy --model model.onnx
aethernet status --deployment-id abc123