pronto

A Python frontend to (Open Biomedical) Ontologies.

https://github.com/althonos/pronto

Science Score: 49.0%

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    Found 5 DOI reference(s) in README
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    1 of 15 committers (6.7%) from academic institutions
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    Low similarity (11.9%) to scientific vocabulary

Keywords

bioinformatics obo obo-graphs obofoundry ontology owl parser python semantic-web

Keywords from Contributors

genomics annotation graph-generation sequencing interactive binding embedded serializer distributed python-c-api
Last synced: 6 months ago · JSON representation

Repository

A Python frontend to (Open Biomedical) Ontologies.

Basic Info
Statistics
  • Stars: 242
  • Watchers: 11
  • Forks: 49
  • Open Issues: 34
  • Releases: 61
Topics
bioinformatics obo obo-graphs obofoundry ontology owl parser python semantic-web
Created over 9 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README.md

pronto Stars

A Python frontend to ontologies.

Actions License Source Docs Coverage Sanity PyPI Bioconda Versions Wheel Changelog GitHub issues DOI Downloads

🚩 Table of Contents

🗺️ Overview

Pronto is a Python library to parse, browse, create, and export ontologies, supporting several ontology languages and formats. It implement the specifications of the Open Biomedical Ontologies 1.4 in the form of an safe high-level interface. If you're only interested in parsing OBO or OBO Graphs document, you may wish to consider fastobo instead.

🏳️ Supported Languages

🔧 Installing

Installing with pip is the easiest: ```console

pip install pronto # if you have the admin rights

$ pip install pronto --user # install it in a user-site directory ```

There is also a conda recipe in the bioconda channel: console $ conda install -c bioconda pronto

Finally, a development version can be installed from GitHub using setuptools, provided you have the right dependencies installed already: ```console $ git clone https://github.com/althonos/pronto $ cd pronto

python setup.py install

```

💡 Examples

If you're only reading ontologies, you'll only use the Ontology class, which is the main entry point.

```python

from pronto import Ontology ```

It can be instantiated from a path to an ontology in one of the supported formats, even if the file is compressed: ```python

go = Ontology("tests/data/go.obo.gz") ```

Loading a file from a persistent URL is also supported, although you may also want to use the Ontology.from_obo_library method if you're using persistent URLs a lot: ```python

cl = Ontology("http://purl.obolibrary.org/obo/cl.obo") stato = Ontology.fromobolibrary("stato.owl") ```

🏷️ Get a term by accession

Ontology objects can be used as mappings to access any entity they contain from their identifier in compact form: ```python

cl['CL:0002116'] Term('CL:0002116', name='B220-low CD38-positive unswitched memory B cell') ```

Note that when loading an OWL ontology, URIs will be compacted to CURIEs whenever possible:

```python

aeo = Ontology.fromobolibrary("aeo.owl") aeo["AEO:0000078"] Term('AEO:0000078', name='lumen of tube') ```

🖊️ Create a new term from scratch

We can load an ontology, and edit it locally. Here, we add a new protein class to the Protein Ontology. ```python

pr = Ontology.fromobolibrary("pr.obo") brh = ms.createterm("PR:XXXXXXXX") brh.name = "Bacteriorhodopsin" brh.superclasses().add(pr["PR:000001094"]) # is a rhodopsin-like G-protein brh.disjointfrom.add(pr["PR:000036194"]) # disjoint from eukaryotic proteins ```

✏️ Convert an OWL ontology to OBO format

The Ontology.dump method can be used to serialize an ontology to any of the supported formats (currently OBO and OBO JSON): ```python

edam = Ontology("http://edamontology.org/EDAM.owl") with open("edam.obo", "wb") as f: ... edam.dump(f, format="obo") ```

🌿 Find ontology terms without subclasses

The terms method of Ontology instances can be used to iterate over all the terms in the ontology (including the ones that are imported). We can then use the is_leaf method of Term objects to check is the term is a leaf in the class inclusion graph.

```python

ms = Ontology("ms.obo") for term in ms.terms(): ... if term.is_leaf(): ... print(term.id) MS:0000000 MS:1000001 ... ```

🤫 Silence warnings

pronto is explicit about the parts of the code that are doing non-standard assumptions, or missing capabilities to handle certain constructs. It does so by raising warnings with the warnings module, which can get quite verbose.

If you are fine with the inconsistencies, you can manually disable warning reports in your consumer code with the filterwarnings function:

python import warnings import pronto warnings.filterwarnings("ignore", category=pronto.warnings.ProntoWarning)

📖 API Reference

A complete API reference can be found in the online documentation, or directly from the command line using pydoc: console $ pydoc pronto.Ontology

📜 License

This library is provided under the open-source MIT license. Please cite this library if you are using it in a scientific context using the following DOI: 10.5281/zenodo.595572

Owner

  • Name: Martin Larralde
  • Login: althonos
  • Kind: user
  • Location: Heidelberg, Germany
  • Company: EMBL / LUMC, @zellerlab

PhD candidate in Bioinformatics, passionate about programming, SIMD-enthusiast, Pythonista, Rustacean. I write poems, and sometimes they are executable.

GitHub Events

Total
  • Create event: 8
  • Release event: 1
  • Issues event: 15
  • Watch event: 10
  • Delete event: 6
  • Issue comment event: 27
  • Push event: 10
  • Pull request event: 11
  • Fork event: 1
Last Year
  • Create event: 8
  • Release event: 1
  • Issues event: 15
  • Watch event: 10
  • Delete event: 6
  • Issue comment event: 27
  • Push event: 10
  • Pull request event: 11
  • Fork event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 853
  • Total Committers: 15
  • Avg Commits per committer: 56.867
  • Development Distribution Score (DDS): 0.355
Past Year
  • Commits: 25
  • Committers: 1
  • Avg Commits per committer: 25.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Martin Larralde m****e@e****r 550
Martin Larralde m****e@e****r 283
dependabot-preview[bot] 2****] 5
Philipp A f****p@w****e 3
Alex Henrie a****4@g****m 2
Chris Morris c****s 1
Daniel Himmelstein d****n@g****m 1
Dave Lawrence d****w@g****m 1
Rafal Wojdyla r****a@g****m 1
Spencer Mitchell s****6@g****m 1
dependabot[bot] 4****] 1
imgbot[bot] 3****] 1
Erik Bakke b****k@g****m 1
tatsu t****1@g****m 1
Martin Larralde m****e@a****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 71
  • Total pull requests: 73
  • Average time to close issues: 6 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 45
  • Total pull request authors: 13
  • Average comments per issue: 2.24
  • Average comments per pull request: 1.3
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 63
Past Year
  • Issues: 5
  • Pull requests: 12
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 3 days
  • Issue authors: 5
  • Pull request authors: 2
  • Average comments per issue: 2.2
  • Average comments per pull request: 0.58
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 11
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Pull Request Authors
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Packages

  • Total packages: 2
  • Total downloads:
    • pypi 45,855 last-month
  • Total docker downloads: 5,930
  • Total dependent packages: 19
    (may contain duplicates)
  • Total dependent repositories: 93
    (may contain duplicates)
  • Total versions: 150
  • Total maintainers: 1
pypi.org: pronto

Python frontend to ontologies.

  • Documentation: https://pronto.readthedocs.io/en/latest/
  • License: MIT License Copyright (c) 2016-2025 Martin Larralde <martin.larralde@embl.de> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 2.7.0
    published 12 months ago
  • Versions: 81
  • Dependent Packages: 19
  • Dependent Repositories: 93
  • Downloads: 45,855 Last month
  • Docker Downloads: 5,930
Rankings
Dependent packages count: 0.6%
Dependent repos count: 1.5%
Downloads: 1.8%
Docker downloads count: 2.2%
Average: 2.8%
Stargazers count: 4.6%
Forks count: 6.1%
Maintainers (1)
Last synced: 6 months ago
proxy.golang.org: github.com/althonos/pronto
  • Versions: 69
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago

Dependencies

.github/workflows/test.yml actions
  • actions/checkout v1 composite
  • actions/setup-python v2 composite
  • actions/setup-python v1 composite
  • codecov/codecov-action v1 composite
  • pypa/gh-action-pypi-publish master composite
  • rasmus-saks/release-a-changelog-action v1.0.1 composite
docs/requirements.txt pypi
  • fastobo *
  • ipython *
  • nbsphinx *
  • pygments *
  • pygments-style-monokailight *
  • recommonmark *
  • semantic_version *
  • sphinx *