sbl-sdsc / mmtf-pyspark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

Date Created 2017-05-11 (7 years ago)

Commits 1,752 (last one about a year ago)

Stargazers 68 (0 this week)

Watchers 8 (0 this week)

Forks 27

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these sbl-sdsc/mmtf-pyspark is ranked #382,081 (36th percentile) for total stargazers, and #246,776 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #72,614/119,431.

sbl-sdsc/mmtf-pyspark is also tagged with popular topics, for these it's ranked: machine-learning (#5,804/8063), jupyter-notebook (#437/619), jupyter (#425/558), big-data (#292/363), scientific-computing (#201/258), apache-spark (#80/111), pyspark (#70/110)

Other Information

sbl-sdsc/mmtf-pyspark has Github issues enabled, there are 8 open issues and 94 closed issues.

There have been 1 release, the latest one was published on 2018-11-25 (6 years ago) with the name v0.2.7.

All Topics

binder jupyter pyspark big-data apache-spark jupyter-notebook machine-learning protein-data-bank protein-sequences protein-structure scientific-computing protein-ligand-interactions protein-protein-interaction

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132 commits on the default branch (master) since jan '22

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updated: 2024-11-06 @ 06:49pm, id: 91004686 / R_kgDOBWyfDg