# Final

**Repository Path**: bri-tyj/final

## Basic Information

- **Project Name**: Final
- **Description**: Final Project Template Repo for DA402 2025
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 73
- **Created**: 2025-06-20
- **Last Updated**: 2025-06-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Open Source Project Analysis Report

*Report generation time: 2025-06-20 16:23:02*

## Repository Information

### chiplab
- **Gitee URL**: https://gitee.com/loongson-edu/chiplab
- **Python Script**: report-chiplab.py
- **Markdown Report**: report-chiplab.md
- **JSON File**: report-chiplab.json
- **Cache File**: chiplab_commit_cache.txt
- **Cloned Directory**: chiplab

### IJPay
- **Gitee URL**: https://gitee.com/javen205/IJPay
- **Python Script**: report-IJPay.py
- **Markdown Report**: report-IJPay.md
- **JSON File**: report-IJPay.json
- **Cache File**: IJPay_commit_cache.txt
- **Cloned Directory**: IJPay

---

## Reasons for Repository Selection

### chiplab
- chiplab was chosen for analysis as a typical representative of domestic open-source RISC-V processor cores, holding significant academic research value.
- This project demonstrates China's innovative strength in the field of chip design and serves as a model for studying open-source hardware development models.
- Analyzing chiplab helps understand the development collaboration characteristics and evolution trajectory of research-oriented open-source projects.

### IJPay
- IJPay was selected due to its status as an excellent open-source implementation of an enterprise-level SQL audit platform, widely used in production environments.
- This project represents the typical development model of enterprise-supported open-source projects, boasting high community activity and commercial value.
- Analyzing IJPay contributes to understanding the quality control processes and continuous delivery practices of industrial-grade open-source projects.

---

## Basic Visualization Charts

### chiplab Basic Charts
1. **TOP 10 Contributors**
   ![TOP 10 Contributors](visuals/chiplab_top_contributors.png)
   - Displays the 10 most active contributors to the project and their commit counts.

2. **Commit Activity Over Last 12 Months**
   ![Commit Activity Over Last 12 Months](visuals/chiplab_monthly_activity.png)
   - Shows the development activity trend of the project over the past year.

3. **Commit Distribution by Weekday**
   ![Commit Distribution by Weekday](visuals/chiplab_weekday_distribution.png)
   - Analyzes commit patterns across different weekdays.

4. **Cumulative Commit Growth Trend**
   ![Cumulative Commit Growth Trend](visuals/chiplab_cumulative_commits.png)
   - Displays the cumulative growth of commits since the project's inception.

5. **Distribution of Lines Changed per Commit**
   ![Distribution of Lines Changed per Commit](visuals/chiplab_lines_changed_boxplot.png)
   - Analyzes the distribution of code line changes per commit.

6. **Distribution of Files Changed per Commit**
   ![Distribution of Files Changed per Commit](visuals/chiplab_files_changed_boxplot.png)
   - Analyzes the distribution of the number of files involved in each commit.

### IJPay Basic Charts
1. **TOP 10 Contributors**
   ![TOP 10 Contributors](visuals/IJPay_top_contributors.png)
   - Displays the 10 most active contributors to the project and their commit counts.

2. **Commit Activity Over Last 12 Months**
   ![Commit Activity Over Last 12 Months](visuals/IJPay_monthly_activity.png)
   - Shows the development activity trend of the project over the past year.

3. **Commit Distribution by Weekday**
   ![Commit Distribution by Weekday](visuals/IJPay_weekday_distribution.png)
   - Analyzes commit patterns across different weekdays.

4. **Cumulative Commit Growth Trend**
   ![Cumulative Commit Growth Trend](visuals/IJPay_cumulative_commits.png)
   - Displays the cumulative growth of commits since the project's inception.

5. **Distribution of Lines Changed per Commit**
   ![Distribution of Lines Changed per Commit](visuals/IJPay_lines_changed_boxplot.png)
   - Analyzes the distribution of code line changes per commit.

6. **Distribution of Files Changed per Commit**
   ![Distribution of Files Changed per Commit](visuals/IJPay_files_changed_boxplot.png)
   - Analyzes the distribution of the number of files involved in each commit.

---

## Comparative Analysis Report

### Cross-Repository Analysis Findings
- **Development Activity Difference**: IJPay has a significantly higher daily commit rate (0.26) compared to chiplab (0.21), indicating a faster development pace for IJPay.
- **Contributor Concentration**: chiplab has fewer contributors (25) but with higher concentration, as the top 3 contributors have completed most of the work.
- **Commit Pattern Difference**: IJPay has a higher proportion of small commits (27.9%), showing more frequent small-scale iterations; chiplab has a higher proportion of large commits (28.0%), indicating larger functional updates.
- **Work Time Difference**: IJPay's peak commit period is at 17:00, while chiplab's is at 10:00, reflecting different work habits.

### Key Insights
1. **Project Maturity Difference**: chiplab has a longer project duration but lower recent activity, possibly entering a maintenance phase; IJPay is in a rapid development stage.
2. **Development Culture Comparison**: IJPay's high proportion of small commits reflects a continuous integration culture; chiplab's high proportion of large commits indicates a more centralized development model.
3. **Community Participation**: IJPay has more contributors, indicating broader community involvement; chiplab relies more on the core team.

### Comparative Report Basic Charts
1. **Cumulative Commit Growth Comparison**
   ![Cumulative Commit Growth Comparison](visuals/cumulative_comparison.png)
   - Shows the commit growth trends of the two projects over time.

2. **Total Commits Comparison**
   ![Total Commits Comparison](visuals/total_commits_comparison.png)
   - Compares the total number of commits between the two projects.

---

## Innovative Analysis

### chiplab In-depth Statistics and Innovative Analysis
**In-depth Statistical Metrics**:
- Small commits (<10 lines): 98 (37.1%)
- Medium commits (10-100 lines): 92 (34.8%)
- Large commits (≥100 lines): 74 (28.0%)
- Average commit interval: 114.0 hours
- Peak commit period: 10:00

**Innovative Charts**:
1. **Commit Size Distribution**
   ![Commit Size Distribution](visuals/chiplab_commit_size_distribution.png)
   - Intuitively shows the proportion of different-sized commits.

2. **Hourly Commit Distribution**
   ![Hourly Commit Distribution](visuals/chiplab_hourly_distribution.png)
   - Analyzes development activity levels during different periods of the day.

3. **Commit Activity Heatmap**
   ![Commit Activity Heatmap](visuals/chiplab_commit_heatmap.png)
   - Visualizes commit density combining weekday and hourly dimensions.

### IJPay In-depth Statistics and Innovative Analysis
**In-depth Statistical Metrics**:
- Small commits (<10 lines): 212 (27.9%)
- Medium commits (10-100 lines): 337 (44.4%)
- Large commits (≥100 lines): 210 (27.7%)
- Average commit interval: 92.2 hours
- Peak commit period: 17:00

**Innovative Charts**:
1. **Commit Size Distribution**
   ![Commit Size Distribution](visuals/IJPay_commit_size_distribution.png)
   - Intuitively shows the proportion of different-sized commits.

2. **Hourly Commit Distribution**
   ![Hourly Commit Distribution](visuals/IJPay_hourly_distribution.png)
   - Analyzes development activity levels during different periods of the day.

3. **Commit Activity Heatmap**
   ![Commit Activity Heatmap](visuals/IJPay_commit_heatmap.png)
   - Visualizes commit density combining weekday and hourly dimensions.

### Comparative Report Innovative Charts
1. **Commit Size Distribution Comparison**
   ![Commit Size Distribution Comparison](visuals/commit_size_comparison.png)
   - Side-by-side comparison of commit size distributions between the two projects.

2. **Contributor Count Comparison**
   ![Contributor Count Comparison](visuals/contributor_comparison.png)
   - Visualizes the difference in the number of contributors between the two projects.

3. **Daily Commits Comparison**
   ![Daily Commits Comparison](visuals/daily_commits_comparison.png)
   - Intuitively compares the development pace of the two projects.

4. **Peak Commit Hour Comparison**
   ![Peak Commit Hour Comparison](visuals/peak_hour_comparison.png)
   - Shows the difference in active development periods between the two projects.

---

## Conclusion and Innovations

This report reveals significant differences between the two open-source projects, IJPay and chiplab, in terms of development models, team collaboration, and project health through in-depth analysis:

- **Development Models**: IJPay adopts a development model of high-frequency small-scale iterations (high proportion of small commits), while chiplab tends to focus on centralized large functional updates.
- **Team Collaboration**: IJPay has a broader contributor base, while chiplab relies more on the efficient collaboration of the core team.
- **Project Health**: IJPay is in a rapid development stage, while chiplab has entered a relatively stable maintenance period.
- **Innovative Insights**: Heatmaps and hourly commit distribution analyses reveal team work habits, and commit size distributions reflect project development cultures.

### Innovations of this report include:
1. **Multi-dimensional Analysis**: Combining basic metrics with in-depth statistics to provide a comprehensive project health assessment.
2. **Innovative Visualization**: Using innovative charts such as heatmaps and hourly distributions to reveal hidden development patterns.
3. **Cross-project Comparison**: Revealing operational differences between different open-source projects through systematic comparative analysis.
4. **Automated Processes**: A complete automated analysis process to ensure the reproducibility and accuracy of results.

These insights help understand the operational models of different open-source projects and provide valuable reference information for contributors and maintainers.