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 67 (0 this week)

Watchers 8 (0 this week)

Forks 27

License apache-2.0

Ranking

RepositoryStats indexes 565,279 repositories, of these sbl-sdsc/mmtf-pyspark is ranked #371,115 (34th percentile) for total stargazers, and #241,498 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,451/111,292.

sbl-sdsc/mmtf-pyspark is also tagged with popular topics, for these it's ranked: machine-learning (#5,629/7698), jupyter-notebook (#431/597), jupyter (#420/544), big-data (#287/352), scientific-computing (#193/247), apache-spark (#81/104), pyspark (#71/104)

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 (5 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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-02-20 @ 05:13am, id: 91004686 / R_kgDOBWyfDg