https://github.com/mahmoud/apatite

Awesomer awesome list management and analysis, originally designed for Awesome Python Applications: https://github.com/mahmoud/awesome-python-applications
https://github.com/mahmoud/apatite

awesome awesome-lists

Last synced: about 1 month ago
JSON representation

Awesomer awesome list management and analysis, originally designed for Awesome Python Applications: https://github.com/mahmoud/awesome-python-applications

• Host: GitHub
• URL: https://github.com/mahmoud/apatite
• Owner: mahmoud
• License: gpl-3.0
• Created: 2019-08-17T08:22:32.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-05-03T19:47:58.000Z (6 months ago)
• Last Synced: 2024-09-21T18:34:54.482Z (about 1 month ago)
• Topics: awesome, awesome-lists
• Language: Python
• Homepage:
• Size: 114 KB
• Stars: 41
• Watchers: 7
• Forks: 6
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome-repositories - mahmoud/apatite - Awesomer awesome list management and analysis, originally designed for Awesome Python Applications: https://github.com/mahmoud/awesome-python-applications (Python)

README

        
# Apatite

A command-line application for curating structured lists of software projects.



First run

`pip install apatite`

Then run

`apatite --help`

And you'll see

```

Usage: /home/mahmoud/virtualenvs/apatite/bin/apatite subcommand [FLAGS]

    automation and analytics for curated lists of awesome software.

    Normal analysis workflow:

      * apatite pull-repos  (can take 3-4 hours, 25GB on the full APA, use --targets to limit)

      * apatite collect-metrics

      * apatite export-metrics

      * apatite analyze  # TODO

Subcommands:

  render                    generate the list markdown from the yaml listing

  normalize                 normalize project and tag order, checking for duplicates and format divergences,

                            overwrites the yaml listing

  pull-repos                clone or pull all projects. requires git, hg, and bzr to be installed for projects in APA

  collect-metrics           use local clones of repositories (from pull-repos) to gather data about projects

  show-recent-metrics       shows the most recent metrics collection

  export-metrics            export a csv with metrics collated from previous collect-metrics runs

  show-exportable-metrics   show a list of metric names available for export-metrics --cols and --cols-file flags

  console                   use pdb to explore plist and pdir

  version                   print the apatite version and exit

Flags:

  --help / -h   show this help message and exit

```