Skip to main content

A zero-dependency near-clone of common bmt capabilities

Project description

Biolink model toolkit - lite!

bmt-lite is a zero-dependency near-clone of a subset of bmt. It is backed by a pre-populated cache of input/output pairs for many of the more commonly used bmt methods.

bmt alone occupies ~127 KB on disk, but with all of its dependencies it takes up ~36.2 MB. On the other hand, bmt-lite-1.8.2 is ~295 KB on disk, of which ~254 KB is the cached data. To initialize a Toolkit from bmt takes ~2 seconds, while initializing a Toolkit from bmt-lite takes ~2e-7 seconds. Because all of bmt-lite's behavior is pre-cached, it does not require the internet at run time.

bmt bmt-lite (-1.8.2)
size 127 KB 295 KB
size w/ deps 36.2 MB 295 KB
init time 2 sec 2e-7 sec

* all measurements made on a typical laptop on a random Tuesday afternoon

Note: bmt-lite does not implement all of the functionality of bmt. Feature requests (or pull requests?!) are welcome. In addition, the existing functionality may differ slightly; for example, bmt-lite's element-name/id format conversions are known to differ for some special cases.

Installation

You must install a specific "flavor" of bmt-lite corresponding to the Biolink model version that you want. Versions 1.7.0 - 2.2.0 are currently available.

For example,

pip install bmt-lite-1.8.2

Usage

Use bmt-lite almost exactly like you would use bmt itself: https://github.com/biolink/biolink-model-toolkit#usage

Development

Building

pip install -rrequirements-build.txt
./build.sh

Testing

pip install -rrequirements-test.txt
tox

Publishing

pip install twine
twine upload dist/*

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

bmt-lite-2.1.0-2.1.0.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

bmt_lite_2.1.0-2.1.0-py3-none-any.whl (50.9 kB view details)

Uploaded Python 3

File details

Details for the file bmt-lite-2.1.0-2.1.0.tar.gz.

File metadata

  • Download URL: bmt-lite-2.1.0-2.1.0.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for bmt-lite-2.1.0-2.1.0.tar.gz
Algorithm Hash digest
SHA256 c383b002634cbc291f932092566de90fad6d615b23a6e2a19dc4f964a25e5cbe
MD5 aacb4d387083daf05518d032c7a61eed
BLAKE2b-256 56eb1afaa694207c22ab65d687d0cd09f3131b69fc943a3a441cf2cd189d1040

See more details on using hashes here.

File details

Details for the file bmt_lite_2.1.0-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: bmt_lite_2.1.0-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 50.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for bmt_lite_2.1.0-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 09e50ddd69b4af259d8082a93586bbc16c550f8d70b7a8cd083a016e65bbd4fd
MD5 9c65462aea65a973eecd1b23efc11a4e
BLAKE2b-256 5f990bb9d0dd8f352395f95bfdbfb10f1f8a1b66e1bffd30138733d9919fbf2a

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