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GitHub / sbl-sdsc / mmtf-pyspark
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sbl-sdsc%2Fmmtf-pyspark
Stars: 67
Forks: 27
Open Issues: 8
License: apache-2.0
Language: Python
Repo Size: 524 MB
Dependencies:
32
Created: about 7 years ago
Updated: 3 months ago
Last pushed: about 1 year ago
Last synced: 25 days ago
Commit Stats
Commits: 1486
Authors: 10
Mean commits per author: 148.6
Development Distribution Score: 0.507
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/sbl-sdsc/mmtf-pyspark
Topics: apache-spark, big-data, binder, jupyter, jupyter-notebook, machine-learning, protein-data-bank, protein-ligand-interactions, protein-protein-interaction, protein-sequences, protein-structure, pyspark, scientific-computing
Files
Dependencies
- biopython 1.72.*
- ipywidgets 7.6.5.*
- jupyterlab 3.2.5.*
- numba 0.41.0.*
- numpy 1.16.1.*
- openjdk 8.0.152.*
- pip
- py3dmol 0.8.0.*
- pyspark 2.4.0.*
- python 3.7.*
- biopython 1.72.*
- ipywidgets 7.6.5.*
- jupyterlab 3.2.5.*
- numba 0.41.0.*
- numpy 1.16.1.*
- openjdk 8.0.152.*
- pip
- py3dmol 0.8.0.*
- pyspark 2.4.0.*
- python 3.7.*
- biopython >=1.7.1
- ipywidgets >=7.2.1
- matplotlib >=2.2.0
- mmtf-python ==1.1.1
- nbsphinx ==0.3.3
- numpy >=1.14.2
- numpydoc ==0.7.0
- py4j >=0.10.6
- requests >=0.8.0
- sphinx ==1.7.4
- sphinx_bootstrap_theme ==0.5.3
- sympy ==1.1.1