Pros of github-readme-stats

• More comprehensive statistics, including top languages, GitHub streaks, and wakatime stats
• Highly customizable with themes, custom title, icons, and layout options
• Supports private repositories and organizations

Cons of github-readme-stats

• Lacks a dedicated activity graph feature
• May require more setup and configuration for advanced features
• Can be slower to load due to the amount of data it processes

Code Comparison

github-readme-activity-graph:

[![Ashutosh's github activity graph](https://github-readme-activity-graph.cyclic.app/graph?username=Ashutosh00710&theme=dracula)](https://github.com/ashutosh00710/github-readme-activity-graph)

github-readme-stats:

![Anurag's GitHub stats](https://github-readme-stats.vercel.app/api?username=anuraghazra&show_icons=true&theme=radical)
[![Top Langs](https://github-readme-stats.vercel.app/api/top-langs/?username=anuraghazra&layout=compact)](https://github.com/anuraghazra/github-readme-stats)

github-readme-stats offers a wider range of statistics and customization options, making it more versatile for showcasing GitHub profiles. However, github-readme-activity-graph specializes in providing a visually appealing activity graph, which is not available in github-readme-stats. The choice between the two depends on the specific needs of the user and the desired presentation of GitHub statistics.

Pros of metrics

• More comprehensive: Offers a wide range of metrics and visualizations beyond activity graphs
• Highly customizable: Allows users to create personalized dashboards with various plugins
• Supports multiple platforms: Can fetch data from GitHub, GitLab, and other sources

Cons of metrics

• More complex setup: Requires more configuration and may be overwhelming for beginners
• Higher resource usage: Due to its extensive features, it may consume more API calls and processing power
• Steeper learning curve: Users need to understand multiple plugins and options to fully utilize the tool

Code Comparison

metrics:

- uses: lowlighter/metrics@latest
  with:
    filename: metrics.svg
    token: ${{ secrets.METRICS_TOKEN }}
    base: header, activity, community, repositories, metadata
    plugin_isocalendar: yes

github-readme-activity-graph:

<a href="https://github.com/ashutosh00710/github-readme-activity-graph">
  <img src="https://activity-graph.herokuapp.com/graph?username=ashutosh00710&theme=github" />
</a>

The code snippets show that metrics requires more configuration options, while github-readme-activity-graph is simpler to implement but offers fewer customization options.

Pros of github-profile-trophy

• Provides a visually appealing trophy showcase for GitHub achievements
• Offers customization options for trophy appearance and layout
• Includes a wider range of achievements, such as followers, stars, and commits

Cons of github-profile-trophy

• Less focus on detailed contribution activity over time
• May not provide as much insight into a user's recent coding patterns
• Limited to predefined achievement categories

Code Comparison

github-profile-trophy:

[![trophy](https://github-profile-trophy.vercel.app/?username=ryo-ma)](https://github.com/ryo-ma/github-profile-trophy)

github-readme-activity-graph:

[![Ashutosh's github activity graph](https://github-readme-activity-graph.cyclic.app/graph?username=Ashutosh00710)](https://github.com/ashutosh00710/github-readme-activity-graph)

Both projects offer easy integration into GitHub profiles using a single line of markdown. The github-profile-trophy code generates a trophy showcase, while github-readme-activity-graph produces a detailed activity graph.

github-profile-trophy focuses on highlighting specific achievements and milestones, making it ideal for users who want to showcase their overall GitHub accomplishments. On the other hand, github-readme-activity-graph provides a more detailed view of a user's contribution patterns over time, which can be valuable for demonstrating consistent activity and productivity.

Ultimately, the choice between these two projects depends on whether a user prioritizes showcasing achievements or visualizing their coding activity patterns.

Pros of github-readme-streak-stats

• Focuses on continuous contribution streaks, providing motivation for daily GitHub activity
• Offers a wide range of customization options for colors and appearance
• Lightweight and fast-loading, with minimal impact on README load times

Cons of github-readme-streak-stats

• Limited to streak statistics, lacking comprehensive activity visualization
• Doesn't provide insights into contribution types or repository-specific activity
• May encourage quantity over quality in contributions to maintain streaks

Code Comparison

github-readme-streak-stats:

def get_streak_count(contributions):
    streak = 0
    for day in contributions:
        if day.count > 0:
            streak += 1
        else:
            break
    return streak

github-readme-activity-graph:

const generateGraph = (contributions) => {
  const svg = d3.select('svg');
  svg.selectAll('rect')
    .data(contributions)
    .enter()
    .append('rect')
    .attr('x', (d, i) => i * 10)
    .attr('y', (d) => 100 - d.count * 5)
    .attr('width', 8)
    .attr('height', (d) => d.count * 5);
};

The code snippets highlight the different focus areas of each project. github-readme-streak-stats calculates streak counts, while github-readme-activity-graph generates a visual representation of contribution activity over time.

Pros of github-profile-summary-cards

• Offers a wider variety of card types, including language stats, commit stats, and productive time
• Provides more customization options for colors and themes
• Easier to set up and use with pre-defined templates

Cons of github-profile-summary-cards

• Less focus on detailed contribution activity visualization
• May not provide as comprehensive a view of long-term activity patterns
• Limited to predefined card layouts, which may restrict creativity

Code Comparison

github-readme-activity-graph:

- uses: Ashutosh00710/github-readme-activity-graph@v1.0
  with:
    username: "${{ github.repository_owner }}"
    bg_color: "#000000"
    color: "#ffffff"
    line: "#ff0000"

github-profile-summary-cards:

- uses: vn7n24fzkq/github-profile-summary-cards@release
  env:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
  with:
    USERNAME: ${{ github.repository_owner }}

Both projects aim to enhance GitHub profiles with visual representations of user activity. github-readme-activity-graph focuses on providing a detailed, customizable graph of contribution activity over time. In contrast, github-profile-summary-cards offers a broader range of pre-designed cards showcasing various aspects of a user's GitHub profile. The choice between the two depends on whether you prefer a focused, in-depth activity visualization or a more diverse set of profile statistics presented in a card format.

Pros of github-stats

• Provides a wider range of GitHub statistics, including top languages, star history, and commit history
• Generates static SVG images, which can be easily embedded in various platforms
• Offers more customization options for the generated images

Cons of github-stats

• Requires more setup and configuration compared to github-readme-activity-graph
• May have slower generation times due to the broader range of statistics it calculates
• Less focused on visualizing contribution activity over time

Code Comparison

github-stats:

def get_stats(username):
    user = g.get_user(username)
    repos = user.get_repos()
    stats = calculate_stats(repos)
    return stats

github-readme-activity-graph:

const getContributions = async (username, token) => {
  const query = `query($username: String!) { ... }`;
  const variables = { username };
  return await fetchGraphQL(query, variables, token);
};

Both projects use different approaches to fetch GitHub data. github-stats uses the PyGithub library to interact with the GitHub API, while github-readme-activity-graph uses GraphQL queries for more efficient data retrieval.

github-readme-activity-graph focuses specifically on generating contribution graphs, making it more streamlined for that particular use case. On the other hand, github-stats offers a broader range of statistics but requires more setup and processing time.