Skip to main content

test and evaluate heterogeneous data processing pipelines

Project description

Note: testkraut is still in its infancy – some of what is written here could still be an anticipation of the near future.

This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them.

In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios:

  1. Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade).

  2. Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms).

While such things can be done using other available tools as well, testkraut aims to provide a lightweight (hence portable), yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site.

Bug tracker | Build status | Documentation | Downloads | PyPi

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

testkraut-0.0~pre4.tar.gz (57.5 kB view details)

Uploaded Source

File details

Details for the file testkraut-0.0~pre4.tar.gz.

File metadata

File hashes

Hashes for testkraut-0.0~pre4.tar.gz
Algorithm Hash digest
SHA256 70b65c2b436a4c930b55c8149bb228e19e32a661e83620bd395951d5896609f0
MD5 bba7912a4515d6ad6012ce06ba13074c
BLAKE2b-256 0d5566e84c79ae320b93e2ccc3f9aa279d5c35db39526c4382a0c54ebacbcd2a

See more details on using hashes here.

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