KO
|
EN
gitlite — search
Search
#typescript
#ai-agents
#ai
#dsh-plugin
#deepseek-harness
#open-source
#cli
#claude-code
#codex
#developer-tools
#react
#windows
sssom-py
★ 63
Open GitHub ↗
Python toolkit for SSSOM mapping format
Download README (.md)
Explore Similar Repositories
schema-automator
:
Automated assistance for the schema development lifecycle
schemasheets
:
Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
semantic-llama
:
A knowledge extraction tool that uses a large language model to extract semantic information from text
linkml-store
:
wrapper for multiple linkml storage engines
linkml-scala
:
A fast, portable (JS/JVM/native), and robust implementation of LinkML for cross-language data modeling
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
sssom-py
?
Download (.md)
# Python Utilities for SSSOM <p align="center"> <a href="https://github.com/mapping-commons/sssom-py/actions/workflows/qc.yml"> <img alt="Tests" src="https://github.com/mapping-commons/sssom-py/actions/workflows/qc.yml/badge.svg" /> </a> <a href="https://pypi.org/project/sssom"> <img alt="PyPI" src="https://img.shields.io/pypi/v/sssom" /> </a> <a href="https://pypi.org/project/sssom"> <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/sssom" /> </a> <a href="https://github.com/mapping-commons/sssom-py/blob/main/LICENSE"> <img alt="PyPI - License" src="https://img.shields.io/pypi/l/sssom" /> </a> <a href="https://github.com/psf/black"> <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code style: black"> </a> <a href="https://doi.org/10.5281/zenodo.14296666"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.14296666.svg" alt="DOI"></a> </p> <img src="https://github.com/tis-lab/closed-illustrations/raw/master/logos/sssom-logos/sssom_logo_black_banner.png" /> A Python library and command line interface (CLI) for working with [SSSOM (Simple Standard for Sharing Ontology Mappings)](https://github.com/mapping-commons/sssom). ## Getting Started A SSSOM TSV can be parsed with ```python import sssom # other SSSOM files can be found on https://mapping-commons.github.io url = "https://raw.githubusercontent.com/mapping-commons/mh_mapping_initiative/master/mappings/mp_hp_eye_impc.sssom.tsv" # TSV can be parsed into a mapping set dataframe object, # which includes a pandas DataFrame, a curies.Converter, # and metadata msdf = sssom.parse_tsv(url) # SSSOM comes with several "write" functions sssom.write_tsv(msdf, "test.tsv") sssom.write_json(msdf, "test.json") sssom.write_owl(msdf, "test.owl") sssom.write_rdf(msdf, "test.ttl") ``` > [!WARNING] > The export formats (json, rdf) of sssom-py are not yet finalised! Expect changes in future releases. ## Documentation See [documentation](https://mapping-commons.github.io/sssom-py/index.html#) ### Deploy documentation ```console $ make sphinx $ make deploy-docs ``` ## Schema See the [schema/](schema) folder for source schema in YAML, plus derivations to JSON-Schema, ShEx, etc. ## Testing `tox` is similar to `make`, but specific for Python software projects. Its configuration is stored in [`tox.ini`](tox.ini) in different "environments" whose headers look like `[testenv:...]`. All tests can be run with: ```console $ pip install tox $ tox ``` A specific environment can be run using the `-e` flag, such as `tox -e lint` to run the linting environment. ## Outstanding Contributors Outstanding contributors are groups and institutions that have helped with organising the SSSOM Python package's development, providing funding, advice and infrastructure. We are very grateful for all your contribution - the project would not exist without you! ### Harvard Medical School <img width="250" src="https://hms.harvard.edu/themes/harvardmedical/logo.svg" alt="Harvard Medical School Logo" /> The [INDRA Lab](https://indralab.github.io), a part of the [Laboratory of Systems Pharmacology](https://hits.harvard.edu/the-program/laboratory-of-systems-pharmacology/about/) and the [Harvard Program in Therapeutic Science (HiTS)](https://hits.harvard.edu), is interested in natural language processing and large-scale knowledge assembly. Their work on SSSOM is funded by the DARPA Young Faculty Award W911NF2010255 (PI: Benjamin M. Gyori). https://indralab.github.io ## Citation SSSOM itself can be cited with: ```bibtex @article{10.1093/database/baac035, author = {Matentzoglu, Nicolas and Balhoff, James P and Bello, Susan M and Bizon, Chris and Brush, Matthew and Callahan, Tiffany J and Chute, Christopher G and Duncan, William D and Evelo, Chris T and Gabriel, Davera and Graybeal, John and Gray, Alasdair and Gyori, Benjamin M and Haendel, Melissa and Harmse, Henriette and Harris, Nomi L and Harrow, Ian and Hegde, Harshad B and Hoyt, Amelia L and Hoyt, Charles T and Jiao, Dazhi and Jiménez-Ruiz, Ernesto and Jupp, Simon and Kim, Hyeongsik and Koehler, Sebastian and Liener, Thomas and Long, Qinqin and Malone, James and McLaughlin, James A and McMurry, Julie A and Moxon, Sierra and Munoz-Torres, Monica C and Osumi-Sutherland, David and Overton, James A and Peters, Bjoern and Putman, Tim and Queralt-Rosinach, Núria and Shefchek, Kent and Solbrig, Harold and Thessen, Anne and Tudorache, Tania and Vasilevsky, Nicole and Wagner, Alex H and Mungall, Christopher J}, title = {A Simple Standard for Sharing Ontological Mappings (SSSOM)}, journal = {Database}, volume = {2022}, pages = {baac035}, year = {2022}, month = {05}, issn = {1758-0463}, doi = {10.1093/database/baac035}, url = {https://doi.org/10.1093/database/baac035}, eprint = {https://academic.oup.com/database/article-pdf/doi/10.1093/database/baac035/43832024/baac035.pdf}, } ``` To cite the SSSOM-py software package specifically, use: ```bibtex @software{sssom-py, author = {Harshad Hegde and Nico Matentzoglu and Charles Tapley Hoyt and Chris Mungall and Joe Flack and Benjamin M. Gyori and Damien Goutte-Gattat and Glass and Syphax Bouazzouni}, title = {mapping-commons/sssom-py: v0.4.15 release (minor fixes) }, month = dec, year = 2024, publisher = {Zenodo}, version = {v0.4.15}, doi = {10.5281/zenodo.14296666}, url = {https://doi.org/10.5281/zenodo.14296666}, } ```