dev(narugo): update Repos Count

        })

df = pd.DataFrame(rows)

df['Ratio'] = (df['Repos'] / df['Repos'].sum()).map(lambda x: f'{x * 100.0:.2f}%')

df = df.sort_values(by=['Repos', 'Supported', 'Name'], ascending=[False, True, True])

df = df[['Name', 'Supported', 'Repos', 'Ratio', 'Function']]

total = df['Repos'].sum()

df = df[df['Repos'] >= 5]

df = df.sort_values(by=['Repos', 'Supported', 'Name'], ascending=[False, True, True])

df['Repos'] = df['Repos'].map(lambda x: f'{x} ({x / total * 100.0:.2f}%)')

print(df.to_markdown(headers='keys', tablefmt='rst', index=False))