Skip to main content

Scientific Experiment Exploration framework

Project description

SciExp² (aka SciExp square or simply SciExp2) stands for Scientific Experiment Exploration, which provides a framework for easing the workflow of creating, executing and evaluating experiments. The driving idea is that of quick and effortless design-space exploration.

Experiments can be defined as a permutation of different parameters in the design space. It creates the necessary files to run these experiments (configuration files, scripts, etc.), which you define as templates that get substituted with the specific parameter values of each experiment.

SciExp2 also provides tools to run these experiments on different execution platforms like regular local scripts or a cluster jobs. It takes care of tracking their correct execution, and allows subsetting which experiments to run (e.g., those with specific parameter values, or those that were not successfully run yet).

Finally, SciExp2 provides functions to collect and analyze the results of the experiments. Results are automatically collected into a data structure that maintains the relationship between each result and the parameters of the experiment that produced it. With this you can effortlessly perform complex tasks such as inspecting the results or calculating statistics of experiments sub-sets, based on their parameter values.

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

sciexp2-1.1.7.tar.gz (136.7 kB view details)

Uploaded Source

File details

Details for the file sciexp2-1.1.7.tar.gz.

File metadata

  • Download URL: sciexp2-1.1.7.tar.gz
  • Upload date:
  • Size: 136.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for sciexp2-1.1.7.tar.gz
Algorithm Hash digest
SHA256 af342882d7b980363f0a227050c62330af37392aebc83ded5d590ce44d50a6f7
MD5 a9cab13fcfe2cdaae7604d7a73f94dec
BLAKE2b-256 cdce01b00b3bb91236af6b4d32f1eac43f0fdc6dd3d2df70e3ee5eb305a8463c

See more details on using hashes here.

Supported by

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