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https://github.com/chrisgrieser/anime-stats

Auto-generate some simple statistics on anime

https://github.com/chrisgrieser/anime-stats

Science Score: 13.0%

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    Low similarity (7.2%) to scientific vocabulary

Keywords

anime python statistics
Last synced: 10 months ago · JSON representation

Repository

Auto-generate some simple statistics on anime

Basic Info
  • Host: GitHub
  • Owner: chrisgrieser
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 64.5 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
anime python statistics
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Anime Stats

Auto-generate some simple statistics on anime.

myanimelist themselves compiled some numbers on the rising number of isekais. However, they have not factored in the increasing total number of shows per year, which sparked my curiosity and led to this small project.

Usage

```bash

init

python3 -m venv ./.venv source ./.venv/bin/activate python3 -m pip install -r requirements.txt

run

genre="Romance" startyear="2014" python3 -m python.main "$genre" "$startyear" ```

Using the task runner just:

bash just init just genre="Romance" start_year=2014 run just run-fzf # using `fzf` and `yq`, select a genre interactively

[!NOTE] Available genres can be seen here: https://api.jikan.moe/v4/genres/anime
You can also use just run_fzf to select a genre interactively, if you have just, fzf, and yq installed.

Data Source

Data from myanimelist, using the Jikan API.

Example Output

txt Isakais per year 2014: 2/187 (1%) 2015: 4/204 (2%) 2016: 7/229 (3%) 2017: 6/225 (3%) 2018: 9/224 (4%) 2019: 11/182 (6%) 2020: 8/175 (5%) 2021: 24/204 (12%) 2022: 17/189 (9%) 2023: 29/240 (12%) 2024: 24/174 (14%)

showcase for isekai per year

Owner

  • Name: Chris Grieser
  • Login: chrisgrieser
  • Kind: user
  • Location: Berlin, Germany
  • Company: Technical University of Berlin

Researcher in sociology & software developer

GitHub Events

Total
  • Watch event: 1
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Last Year
  • Watch event: 1
  • Push event: 42
  • Create event: 2

Dependencies

pyproject.toml pypi
requirements.txt pypi