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-2.0.1-2.0.0.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

bmt_lite_2.0.1-2.0.0-py3-none-any.whl (47.5 kB view details)

Uploaded Python 3

File details

Details for the file bmt-lite-2.0.1-2.0.0.tar.gz.

File metadata

  • Download URL: bmt-lite-2.0.1-2.0.0.tar.gz
  • Upload date:
  • Size: 6.1 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-2.0.1-2.0.0.tar.gz
Algorithm Hash digest
SHA256 ef4f741d9d56b359a67f6340380a86fc4d93d5add6b25246361a8558329594a1
MD5 855675360caae1d121f3760e2f932d9a
BLAKE2b-256 b5e5c349bb56c2d923b44b2d5b7bcc46dc66e47198c0ed79f0473769423e388a

See more details on using hashes here.

File details

Details for the file bmt_lite_2.0.1-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: bmt_lite_2.0.1-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 47.5 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_2.0.1-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 01b7ccaea2aa12ce7be717c5ada423ece128fcfb63cbf85a7b8ea904a7b6a870
MD5 99ea7a8f22903fb98d7a677a5d1de856
BLAKE2b-256 163063cf82937da951f0d7ce3a14e3dae584d5ccfceb992cefabc2f3cd0b7dbf

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