List Github repository contributors according to most stale branches, most branches and most pull requests.

README.md

Github Scoreboard (List contributors according to most stale branches)

List Github repository contributors according to most stale branches, most branches and most pull requests.

                     Stale Branches  Branches  Pull Requests
User                                                    
🥇 CodeWizarddd                   3        11              2
🥈 ByteMaster42                   3         7              0
🥉 git-ninja-2000                 1         3              1
Devvv-Scribe                      1         2              0
TechTokTomato                     1         1              0
jensjensjensen                    1         1              0
py-my-thon-john                   0         2              1

github_scoreboard.py

import os
from collections import defaultdict
from datetime import datetime
from datetime import timedelta

import pandas as pd
from github import Github
from tqdm import tqdm

# Replace 'YOUR_GITHUB_TOKEN' with your actual GitHub token
GITHUB_TOKEN = os.environ["GITHUB_TOKEN"]

# Replace 'recoord' with the actual organization name
ORG_NAME = "YOUR_ORG_NAME"

# Replace 'sunstone' with the actual repository name
REPO_NAME = "YOUR_REPO_NAME"


def count_branches_and_pull_requests(repo):
    branches = repo.get_branches()
    pull_requests = repo.get_pulls(state="open")

    branch_counts = defaultdict(int)
    stale_counts = defaultdict(int)
    pr_counts = defaultdict(int)

    for branch in tqdm(branches, desc="Processing branches", total=branches.totalCount):
        branch_owner = branch.commit.author.login
        branch_date = branch.commit.commit.committer.date
        branch_counts[branch_owner] += 1
        if branch_date < datetime.now() - timedelta(days=90):
            stale_counts[branch_owner] += 1

    for pr in tqdm(pull_requests, desc="Processing pull requests", total=pull_requests.totalCount):
        pr_owner = pr.user.login
        pr_counts[pr_owner] += 1

    all_users = set().union(branch_counts).union(stale_counts).union(pr_counts)
    counts = {
        user: {
            "branches": branch_counts[user],
            "stale_branches": stale_counts[user],
            "pull_requests": pr_counts[user],
        }
        for user in all_users
    }
    return counts


def create_dataframe(branch_owners):
    data = []
    for owner, counts in branch_owners.items():
        branches_count = counts["branches"]
        pr_count = counts["pull_requests"]
        stale_branches_count = counts["stale_branches"]
        data.append([owner, stale_branches_count, branches_count, pr_count])

    df = pd.DataFrame(data, columns=["User", "Stale Branches", "Branches", "Pull Requests"])
    df.set_index("User", inplace=True)
    df.sort_values(by=["Stale Branches", "Branches", "Pull Requests"], ascending=False, inplace=True)

    # Add medals to top 3 users
    top_3_users = df.index[:3]
    medals = ["🥇", "🥈", "🥉"]
    df.index = df.index.where(
        ~df.index.isin(top_3_users), [f"{medals[i]} {user}" for i, user in enumerate(top_3_users)]
    )

    return df


def main():
    g = Github(GITHUB_TOKEN)
    org = g.get_organization(ORG_NAME)
    repo = org.get_repo(REPO_NAME)

    branch_owners = count_branches_and_pull_requests(repo)
    df = create_dataframe(branch_owners)

    print(df)


if __name__ == "__main__":
    main()