Skip to main content

Package coodinating multiple chembees

Project description

acheeve

The repository coordinates multiple chembees. A reminder: A chembee object manifests itself through the below shown SOLID design pattern.

Thus, the acheeve object handles multiple chembees, for example to evaluate an algorithm:

Pattern

The above pattern, lets us implement a swarm of chembees for a wide array of endpoints fast. But we only need one API to stick them together.

The concept is at the moment evaluated by comparing three different datasets (chembees). If the method proves valuable, the above pattern will be used for our SaaS products.

Data sets

It turns out data is easily abstracted. However, the chembee_datasets module implements the classes in a way that violate the original software pattern. Testing the new pattern it turns out, that the imagined SOLID pattern is more useful than the intuition and data operations should indeed not be part of any data class.

This aligns with knowledge about data modelling.

Commercial usage

Currently, we license the software under AGPL 3.0 or later. According to the software pattern, you have to open-source your data when using the package.

You can easily do so using veritas-archive

Cite

When using the package for your scientific work please cite the repo and the connected papers and thesis work

References

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

acheeve-0.0.3.tar.gz (16.3 kB view hashes)

Uploaded Source

Built Distribution

acheeve-0.0.3-py3-none-any.whl (16.8 kB view hashes)

Uploaded Python 3

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