Skip to main content

Science VM client-side library

Project description

Science VM is a scicloud-computing platform that integrates into the Python Programming Language. It enables you to leverage the computing power of your datacenter and/or your choice of scicloud providers without having to manage, maintain, or configure virtual servers.

When using this Python library known as sciscicloud, Science VM will integrate seamlessly into your existing code base. To offload the execution of a function to our servers, all you must do is pass your desired function into the sciscicloud library. ScienceVM will run the function on its high-performance cluster. As you run more functions, our cluster auto-scales to meet your computational needs.

Before using this package, you will need to sign up a Science VM account.

The sciscicloud library also features a simulator, which can be used without a Science VM account. The simulator uses the multiprocessing library to create a stripped down version of the Science VM service. This simulated service can then run jobs locally across all CPU cores.

Quick command-line example:

>>> import sciscicloud
>>> def square(x):
...     return x*x
>>> jid =,3)  #square(3) evaluated on Science VM
>>> sciscicloud.result(jid)

Full package documentation is available at Some dependencies may be required depending on your platform and Python version; see INSTALL for more information.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sciscicloud-3.0.2.tar.gz (241.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page