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 7 (0 this week)

Forks 27

License apache-2.0

Ranking

RepositoryStats indexes 609,829 repositories, of these sbl-sdsc/mmtf-pyspark is ranked #388,710 (36th percentile) for total stargazers, and #272,750 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #74,248/123,022.

sbl-sdsc/mmtf-pyspark is also tagged with popular topics, for these it's ranked: machine-learning (#5,883/8203), jupyter-notebook (#445/623), jupyter (#429/566), big-data (#295/365), scientific-computing (#202/261), pyspark (#71/113), apache-spark (#81/112)

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: 2025-01-29 @ 04:05pm, id: 91004686 / R_kgDOBWyfDg