NodePy Hosting

The best of both worlds: Node.js + Python

Hybrid hosting to run Node.js and Python simultaneously. Ideal for bots, automation, APIs and machine learning.

Dual runtimeML & AI readyHybrid APIs99.9% uptime guaranteed

NodePy logoNodePy Hosting

What for?

Combine the power of Node.js and Python in a single environment.

Smart bots

Discord bots with AI, natural language processing and machine learning.

Machine Learning

Train and deploy your ML models with TensorFlow, PyTorch or scikit-learn.

Hybrid APIs

Node.js backend with Python microservices for data processing.

Data Science

Data analysis with pandas, numpy and visualization with matplotlib.

Automation

Automation scripts combining Node.js speed and Python libraries.

For whom?

Fullstack developers

Use the best of each language according to your needs.

Data Scientists

Deploy your ML models with a performant Node.js API.

Bot creators

Advanced Discord bots with AI and language processing.

Enterprises

Hybrid solutions for complex use cases.

Why choose Zkillu?

French infrastructure

Datacenters in France, GDPR compliance guaranteed, minimal latency.

Maximum security

Free SSL, advanced firewall, DDoS protection included.

Human support

French-speaking technical team available 7/7 via chat and ticket.

GPU Performance

Optional GPU access for ML model training.

Scalability

Adjustable resources according to your computing needs.

Isolated environments

Python virtualenv and multiple Node.js versions.

Technical specifications

Runtimes

Node.js16, 18, 20, 22 LTS
Python3.8, 3.9, 3.10, 3.11, 3.12
Package managersnpm, pip, conda

Performance

ProcessorIntel Xeon
StorageNVMe SSD
GPUNVIDIA (optional)

ML & AI

TensorFlowPre-installed
PyTorchPre-installed
CUDAAvailable

Deployment

Git pushAutomatic
DockerSupported
CI/CDIntegrated

FAQ - Frequently Asked Questions

Yes, that is the unique feature of our NodePy plan.
We support Python 3.9, 3.10, 3.11, and 3.12.
Yes, you can run workers, cron jobs, and long-running scripts.
Yes, you can use TensorFlow, PyTorch, scikit-learn, and other frameworks.
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