Projects

+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+github-trending-projects-full.csv filter=lfs diff=lfs merge=lfs -text
+full/data.csv filter=lfs diff=lfs merge=lfs -text

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+# GitHub Trending Projects Dataset - Known Issues & Limitations
+## Dataset Overview
+- **Total Projects:** 423,098
+- **Date Range:** 2013-08-21 to 2025-11-30
+- **Unique Repositories:** 14,500
+- **Success Rate:** 89.8% (17,127/19,064 URLs)
+---
+## 🚨 Major Issues
+### 1. **Missing Star/Fork Count Data (2013-2019)**
+**Severity:** High
+**Affected:** 25,150 entries (5.9%)
+**Problem:**
+- 100% of 2013-2019 data lacks star/fork counts
+- Only data from 2020+ has star/fork information
+- This is due to HTML structure differences in older Wayback Machine snapshots
+**Impact:**
+- Cannot compare popularity metrics for pre-2020 projects
+- Monthly rankings rely solely on trending score for 2013-2019
+- Incomplete analysis for historical trends
+**Affected Years:**
+```
+2013: 100% missing (150 entries)
+2014: 100% missing (125 entries)
+2015: 100% missing (325 entries)
+2016: 100% missing (1,200 entries)
+2017: 100% missing (1,550 entries)
+2018: 100% missing (4,324 entries)
+2019: 100% missing (17,475 entries)
+2020+: 0% missing (397,949 entries)
+```
+**Recommendation:**
+- Use weighted trending score only for historical analysis
+- Clearly document this limitation when presenting data
+- Consider scraping current star counts from GitHub API for historical projects
+---
+### 2. **Uneven Temporal Distribution**
+**Severity:** High
+**Affected:** All data
+**Problem:**
+- Snapshot frequency varies dramatically: 1 to 31 snapshots per month
+- Some months have 1 snapshot (25 projects), others have 31 (15,763 projects)
+- 31x variance in data density across time periods
+**Examples:**
+```
+Sparse months (1 snapshot):
+- 2015-04: 25 projects
+- 2015-06: 25 projects
+- 2016-11: 25 projects
+Dense months (31 snapshots):
+- 2019-05: 4,650 projects
+- 2020-01: 17,446 projects
+- 2020-05: 15,763 projects
+```
+**Impact:**
+- Over-representation of 2019-2020 period
+- Monthly scores favor periods with more snapshots
+- Difficult to compare across time periods fairly
+- Projects appearing in dense months get inflated scores
+**Recommendation:**
+- Normalize scores by dividing by number of snapshots per month
+- Weight monthly rankings by data density
+- Consider resampling to create uniform temporal distribution
+---
+### 3. **Inconsistent Star/Fork Count Timing**
+**Severity:** Medium
+**Affected:** All entries with star counts (67.8%)
+**Problem:**
+- Star/fork counts are "maximum ever recorded" across all snapshots
+- A 2015 project's star count might be from 2025
+- A 2025 project's star count is from 2025
+- Not temporally consistent or comparable
+**Example Issues:**
+```
+Project A (trending 2015):
+- Trending date: 2015-03-15
+- Star count: 100,000 (scraped 2025)
+- Had 10 years to accumulate stars
+Project B (trending 2025):
+- Trending date: 2025-03-15
+- Star count: 20,000 (scraped 2025)
+- Had 0 years to accumulate stars
+Issue: Can't fairly compare popularity
+```
+**Impact:**
+- Older projects appear more popular (survival bias)
+- Can't analyze "stars at time of trending"
+- Misleading for popularity comparisons across eras
+**Recommendation:**
+- Document this clearly: "Stars represent current popularity, not popularity when trending"
+- Consider using trending score only for cross-era comparisons
+- For accurate historical analysis, would need to scrape stars from archived snapshots
+---
+### 4. **Multiple Appearances Bias**
+**Severity:** Medium
+**Affected:** Scoring methodology
+**Problem:**
+- Some projects appear 1,900+ times, others appear once
+- Scoring favors projects that "stick around" on trending
+- Brief but intense viral projects get undervalued
+**Distribution:**
+```
+1 appearance: 1,129 projects (7.8%)
+2-5 appearances: 1,852 projects (12.8%)
+6-10 appearances: 3,732 projects (25.7%)
+11-50 appearances: 6,005 projects (41.4%)
+50+ appearances: 1,782 projects (12.3%)
+```
+**Most Over-Represented:**
+```
+1. jwasham/coding-interview-university: 1,948 appearances
+2. TheAlgorithms/Python: 1,891 appearances
+3. donnemartin/system-design-primer: 1,865 appearances
+4. public-apis/public-apis: 1,830 appearances
+5. EbookFoundation/free-programming-books: 1,737 appearances
+```
+**Impact:**
+- "Evergreen" educational repos dominate rankings
+- Viral new projects undervalued if they trend briefly
+- Doesn't distinguish between sustained vs. brief trending
+**Recommendation:**
+- Create separate rankings: "Most Consistent" vs "Peak Trending"
+- Add "peak rank achieved" metric
+- Consider decay function for repeated appearances
+---
+### 5. **Linear Scoring Assumption**
+**Severity:** Low-Medium
+**Affected:** Monthly rankings
+**Problem:**
+- Current scoring: Rank 1 = 25 pts, Rank 2 = 24 pts (linear)
+- Assumes rank 1→2 has same value as rank 24→25
+- In reality, top positions have exponentially more visibility
+**Distribution:**
+```
+Rank 1-5: 90,280 entries (21.3%)
+Rank 6-10: 90,178 entries (21.3%)
+Rank 11-15: 87,522 entries (20.7%)
+Rank 16-20: 79,516 entries (18.8%)
+Rank 21-25: 75,602 entries (17.9%)
+```
+**Impact:**
+- Undervalues #1 position
+- May not reflect actual visibility/impact differences
+- Alternative exponential scoring might be more accurate
+**Recommendation:**
+- Consider exponential scoring: 2^(25-rank)
+- Or logarithmic: log(26-rank)
+- A/B test different scoring functions against actual star growth
+---
+### 6. **Failed Scrapes & Missing Data**
+**Severity:** Medium
+**Affected:** 1,937 URLs (10.2%)
+**Problem:**
+- SSL/TLS incompatibility with 2014-2019 Wayback snapshots
+- Incomplete Wayback Machine captures
+- Connection timeouts and 503 errors
+**Impact:**
+- Gaps in temporal coverage
+- Some dates completely missing
+- Potential systematic bias if certain types of snapshots fail more
+**Affected Periods:**
+```
+2014-10-01 to 2014-12-21: Many failures
+2016-02-24 to 2016-03-11: Several failures
+2019-06-12 to 2019-12-31: Heavy failures (mid-2019 SSL issues)
+2024-10-28: 3 failures (503 errors)
+```
+**Recommendation:**
+- Retry failed URLs periodically (Wayback Machine availability changes)
+- Use GitHub API to fill gaps where possible
+- Document missing date ranges in analysis
+---
+### 7. **Rank Distribution Skew**
+**Severity:** Low
+**Affected:** Lower-ranked entries
+**Problem:**
+- Fewer entries at ranks 21-25 (75,602) vs ranks 1-5 (90,280)
+- Suggests some snapshots had <25 projects
+- Or extraction issues with lower-ranked items
+**Impact:**
+- Scoring may overvalue top ranks due to sample size
+- Statistical significance varies by rank position
+**Recommendation:**
+- Filter analysis to top 20 for consistency
+- Or normalize scores by rank availability
+---
+## 📊 Dataset Quality Metrics
+### Completeness
+```
+✅ Temporal Coverage: 89.8% (128/142 months have data)
+❌ Star/Fork Data: 67.8% complete (missing all pre-2020)
+✅ Rank Data: 100% complete
+✅ Repository Names: 100% complete
+```
+### Consistency
+```
+❌ Snapshot Frequency: Highly inconsistent (1-31 per month)
+❌ Star Count Timing: Not temporally aligned
+⚠️  Scoring Methodology: Linear assumption (debatable)
+```
+### Reliability
+```
+✅ Scraping Success: 89.8%
+❌ Failed URLs: 10.2% (recoverable with retry)
+✅ Data Validation: No duplicate entries detected
+```
+---
+## 🔧 Recommended Fixes
+### High Priority
+1. **Add normalized scores** that account for snapshot frequency
+2. **Document star count timing issue** prominently in analysis
+3. **Create separate pre-2020 and post-2020 analyses** due to missing data
+4. **Retry failed URLs** to improve coverage
+### Medium Priority
+5. **Test exponential scoring** vs linear for better accuracy
+6. **Add "peak rank" metric** to identify viral projects
+7. **Separate "evergreen" vs "viral" rankings**
+8. **Scrape current GitHub API data** to fill historical gaps
+### Low Priority
+9. Create confidence intervals for sparse months
+10. Add data quality flags per entry
+11. Document GitHub trending algorithm changes over time
+---
+## 📝 Usage Guidelines
+### ✅ Good Uses
+- Identifying trending patterns in 2020-2025 (complete data)
+- Analyzing trending frequency/consistency
+- Discovering historically significant projects
+- Comparative analysis within same time period
+### ⚠️ Use With Caution
+- Cross-era popularity comparisons (star count issues)
+- Monthly comparisons with very different snapshot counts
+- Absolute popularity rankings (use GitHub API instead)
+- Historical analysis pre-2020 (missing star/fork data)
+### ❌ Not Recommended
+- Claiming "most popular project ever" (timing issues)
+- Direct star count comparisons across decades
+- Precise month-to-month trending velocity analysis (uneven sampling)
+- Analysis of projects that trended <5 times (insufficient data)
+---
+## 📈 Data Quality by Year
+| Year | Projects | Star Data | Snapshots | Quality Grade |
+|------|----------|-----------|-----------|---------------|
+| 2013 | 150      | 0%        | Low       | D (Minimal)   |
+| 2014 | 125      | 0%        | Low       | D (Minimal)   |
+| 2015 | 325      | 0%        | Low       | D (Minimal)   |
+| 2016 | 1,200    | 0%        | Low       | D (Minimal)   |
+| 2017 | 1,550    | 0%        | Low       | D (Minimal)   |
+| 2018 | 4,324    | 0%        | Medium    | C- (Limited)  |
+| 2019 | 17,475   | 0%        | High      | C+ (Incomplete)|
+| 2020 | 108,672  | 100%      | High      | A- (Excellent)|
+| 2021 | 70,006   | 100%      | High      | A- (Excellent)|
+| 2022 | 74,915   | 100%      | High      | A- (Excellent)|
+| 2023 | 73,674   | 100%      | High      | A- (Excellent)|
+| 2024 | 46,538   | 100%      | High      | A- (Excellent)|
+| 2025 | 24,144   | 100%      | Medium    | A- (Excellent)|
+---
+## 🎯 Conclusion
+This dataset is **excellent for 2020-2025 analysis** but has **significant limitations for historical (2013-2019) analysis**. The primary issues are:
+1. **Missing star/fork data pre-2020** (structural limitation)
+2. **Uneven temporal distribution** (Wayback Machine artifact)
+3. **Star count timing inconsistency** (methodology issue)
+These issues are **documentable and manageable** but should be clearly communicated in any analysis or visualization using this data.
+**Overall Grade: B+**
+- A+ for recent data (2020-2025)
+- C+ for historical data (2013-2019)
+- Excellent for trending patterns, limited for absolute popularity metrics

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+---
+license: mit
+task_categories:
+- text-classification
+- time-series-forecasting
+language:
+- en
+tags:
+- github
+- trending
+- repositories
+- software-engineering
+- popularity
+- time-series
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: monthly
+  data_files: "monthly/data.csv"
+  default: true
+- config_name: full
+  data_files: "full/data.csv"
+---
+# GitHub Trending Projects (2013-2025)
+A comprehensive dataset of **423,098 GitHub trending repository entries** spanning **12+ years** (August 2013 - November 2025), scraped from Wayback Machine snapshots of GitHub's trending page.
+## 🎯 Dataset Overview
+This dataset captures the evolution of GitHub's trending repositories over time, providing insights into:
+- **Software development trends** across programming languages and domains
+- **Popular open-source projects** and their trending patterns
+- **Community interests** and shifts in developer focus over 12 years
+- **Viral repository dynamics** and sustained popularity patterns
+**Key Statistics:**
+- 📊 **423,098** trending repository entries
+- 🗂️ **14,500** unique repositories
+- 📅 **128 months** of coverage (2013-08 to 2025-11)
+- ⭐ **89.8%** scraping success rate from Wayback Machine
+- 🏆 **Pre-processed monthly rankings** with weighted scoring
+## 🔧 Dataset Configurations
+This dataset has **two configurations** defined in the YAML header:
+### Configuration: `monthly` (Default)
+Top 25 repositories per month with 3,200 entries
+```python
+from datasets import load_dataset
+ds = load_dataset('ronantakizawa/github-top-projects', 'monthly')
+```
+**Columns:**
+- `month` (string): Month (YYYY-MM)
+- `rank` (int): Monthly rank (1-25)
+- `repository` (string): Full repository name (owner/name)
+- `repo_owner` (string): Repository owner
+- `repo_name` (string): Repository name
+- `star_count` (int): Maximum recorded stars
+- `fork_count` (int): Maximum recorded forks
+- `ranking_appearances` (int): Times appeared in trending that month
+### Configuration: `full`
+Complete daily trending data with 423,098 entries
+```python
+from datasets import load_dataset
+ds = load_dataset('ronantakizawa/github-top-projects', 'full')
+```
+**Columns:**
+- `name` (string): Repository name
+- `star_count` (int): Star count (may be empty for pre-2020)
+- `fork_count` (int): Fork count (may be empty for pre-2020)
+- `repo_owner` (string): Repository owner/organization
+- `rank` (int): Position in trending (1-25)
+- `date` (string): Snapshot date (YYYY-MM-DD)
+## 🏆 Scoring Methodology
+Monthly rankings use a **weighted frequency and position-based scoring system**:
+```
+Score = Σ (25 - rank + 1) for each trending appearance
+Where:
+- Rank 1 → 25 points
+- Rank 2 → 24 points
+- ...
+- Rank 25 → 1 point
+```
+**Example:**
+- Project appears 10 times at rank #1 → 250 points
+- Project appears 20 times at rank #10 → 320 points (higher ranked!)
+This rewards both **consistency** (frequent appearances) and **position** (higher ranks).
+## 📊 Data Collection
+**Source:** GitHub Trending page via Wayback Machine (web.archive.org)
+**Period:** August 21, 2013 - November 30, 2025
+**Method:** Python web scraping with BeautifulSoup
+**Snapshots:** 17,127 successfully scraped from 19,064 available
+**Retry Logic:** Up to 15 retries with exponential backoff
+## 🌟 Key Insights
+### 1. All-Time Top 10 Projects (2013-2025)
+| Rank | Repository | Total Score | Months in Top 25 | Total Trending Days | Best Rank |
+|------|------------|-------------|------------------|---------------------|-----------|
+| 1 | **TheAlgorithms/Python** | 379 | 24 (2.0 years) | 1,383 | #1 |
+| 2 | **tensorflow/tensorflow** | 322 | 20 (1.7 years) | 88 | #1 |
+| 3 | **jwasham/coding-interview-university** | 295 | 21 (1.8 years) | 1,254 | #1 |
+| 4 | **public-apis/public-apis** | 279 | 18 (1.5 years) | 937 | #1 |
+| 5 | **donnemartin/system-design-primer** | 249 | 18 (1.5 years) | 727 | #1 |
+| 6 | **EbookFoundation/free-programming-books** | 237 | 17 (1.4 years) | 772 | #1 |
+| 7 | **FreeCodeCamp/FreeCodeCamp** | 229 | 10 (0.8 years) | 41 | #1 |
+| 8 | **freeCodeCamp/freeCodeCamp** | 228 | 12 (1.0 years) | 408 | #1 |
+| 9 | **trekhleb/javascript-algorithms** | 228 | 15 (1.2 years) | 692 | #1 |
+| 10 | **kamranahmedse/developer-roadmap** | 189 | 15 (1.2 years) | 495 | #1 |
+**Notable Pattern:** Educational resources dominate all-time rankings. 8 of the top 10 are learning resources (algorithms, interview prep, system design, free books).
+### 2. Recent Champions (2024-2025)
+#### Monthly Winners
+| Month | Winner | Days Trending | Current Stars | Theme |
+|-------|--------|---------------|---------------|-------|
+| **2025-11** | google/adk-go | 55 | 5,494 | AI Development Kit |
+| **2025-10** | Stremio/stremio-web | 45 | 7,288 | Streaming Platform |
+| **2025-09** | microsoft/markitdown | 63 | 79,395 | Markdown Converter |
+| **2025-08** | simstudioai/sim | 36 | 17,812 | AI Simulation |
+| **2025-07** | NanmiCoder/MediaCrawler | 32 | 28,058 | Media Scraping |
+| **2024-12** | lobehub/lobe-chat | 36 | 66,763 | AI Chat Interface |
+| **2024-11** | abi/screenshot-to-code | 40 | 67,774 | AI Code Generation |
+| **2024-10** | TheAlgorithms/Python | 34 | 212,762 | Algorithm Learning |
+#### Top New Projects (First Appeared 2024+)
+361 new projects entered the top 25 in 2024-2025:
+| Rank | Repository | Score | Months | Theme |
+|------|------------|-------|--------|-------|
+| 1 | **virattt/ai-hedge-fund** | 96 | 5 | AI Finance Tools |
+| 2 | **microsoft/markitdown** | 72 | 3 | Document Conversion |
+| 3 | **hacksider/Deep-Live-Cam** | 68 | 3 | AI Video Processing |
+| 4 | **harry0703/MoneyPrinterTurbo** | 67 | 4 | AI Content Generation |
+| 5 | **Shubhamsaboo/awesome-llm-apps** | 66 | 4 | LLM Applications |
+### 3. Era Analysis: Technology Trend Shifts
+#### 2013-2014: Web Framework Era
+- **Dominant:** Bootstrap, Angular.js, jQuery
+- **Top 3:** `twbs/bootstrap` (84), `atom/atom` (75), `angular/angular.js` (63)
+- **Trend:** Frontend frameworks and UI libraries ruled
+#### 2015-2017: Framework Wars
+- **Dominant:** FreeCodeCamp, TensorFlow, Vue.js
+- **2016 Champion:** `FreeCodeCamp/FreeCodeCamp` (220 score, 9 months at #1)
+- **2017 Champion:** `tensorflow/tensorflow` (213 score, 12 months presence)
+- **Trend:** Education platforms + rise of ML frameworks
+#### 2018-2019: Algorithm Renaissance
+- **Dominant:** Educational algorithm repositories
+- **Top:** `trekhleb/javascript-algorithms`, `Snailclimb/JavaGuide`
+- **Viral Hit:** `996icu/996.ICU` (148 days trending in April 2019)
+- **Trend:** Shift from tools to learning resources
+#### 2020-2021: Learning Platform Dominance
+- **Dominant:** Interview prep and public APIs
+- **COVID Impact:** `CSSEGISandData/COVID-19` (356 days trending in March 2020!)
+- **Top:** `public-apis/public-apis` (114 score in 2021)
+- **Trend:** Remote work drove demand for learning materials
+#### 2022-2023: AI/ML Explosion
+- **Q3 2022:** Stable Diffusion era (`AUTOMATIC1111/stable-diffusion-webui`)
+- **Q4 2022 - 2023:** ChatGPT impact (`f/awesome-chatgpt-prompts`: 113 days in Dec 2022)
+- **Top AI Projects:** `AntonOsika/gpt-engineer`, `imartinez/privateGPT`, `xtekky/gpt4free`
+- **Trend:** Generative AI democratization
+#### 2024-2025: Specialized AI Tools Era
+- **Dominant:** Practical AI applications
+- **Top:** `codecrafters-io/build-your-own-x` (82 score), `lobehub/lobe-chat` (72)
+- **Microsoft Surge:** 87 Microsoft repos appeared (46 unique projects)
+- **Trend:** From AI experimentation to production tools
+### 4. Viral Phenomenon: Record-Breaking Trending Periods
+**Most Trending Days in a Single Month:**
+1. **CSSEGISandData/COVID-19** - 356 days (March 2020) - *COVID data tracker*
+2. **denoland/deno** - 205 days (May 2020) - *Node.js alternative*
+3. **TheAlgorithms/Python** - 196 days (May 2020) - *Algorithm implementations*
+4. **TheAlgorithms/Python** - 186 days (May 2019)
+5. **jackfrued/Python-100-Days** - 179 days (May 2019) - *Python tutorial*
+**Insight:** March-May 2020 saw unprecedented trending activity due to COVID-19 lockdowns and remote work transition.
+### 5. Top Organizations & Developers
+#### Most Prolific Organizations (Unique Repos in Top 25)
+| Organization | Appearances | Unique Repos | Notable Projects |
+|--------------|-------------|--------------|------------------|
+| **microsoft** | 87 | 46 | generative-ai-for-beginners, Web-Dev-For-Beginners |
+| **google** | 43 | 30 | googletest, adk-go, tensorflow |
+| **TheAlgorithms** | 35 | 5 | Python, Java, JavaScript, C++, Go |
+| **tensorflow** | 22 | 3 | tensorflow, models, examples |
+| **facebook** | 21 | 13 | react, react-native, nuclide |
+#### Consistent Individual Developers
+| Developer | Projects | Months | Key Work |
+|-----------|----------|--------|----------|
+| **jwasham** | 2 | 24 | coding-interview-university |
+| **trekhleb** | 3 | 18 | javascript-algorithms, homemade-machine-learning |
+| **donnemartin** | 1 | 18 | system-design-primer |
+| **kamranahmedse** | 2 | 16 | developer-roadmap |
+| **sindresorhus** | 3 | 15 | awesome, quick-look-plugins |
+### 6. Project Categories: What Trends on GitHub?
+**Educational Resources** (35% of top 25)
+- Algorithm learning: TheAlgorithms/*, trekhleb/javascript-algorithms
+- Interview prep: jwasham/coding-interview-university, yangshun/tech-interview-handbook
+- Learning paths: kamranahmedse/developer-roadmap, EbookFoundation/free-programming-books
+- Courses: microsoft/generative-ai-for-beginners, microsoft/Web-Dev-For-Beginners
+**Development Tools** (25% of top 25)
+- Code editors: atom/atom, microsoft/vscode
+- Build tools: codecrafters-io/build-your-own-x
+- APIs: public-apis/public-apis
+**AI/ML Projects** (20% of top 25, surging in 2024-2025)
+- Chat interfaces: lobehub/lobe-chat, abi/screenshot-to-code
+- Generation tools: AUTOMATIC1111/stable-diffusion-webui, hacksider/Deep-Live-Cam
+- LLM applications: Shubhamsaboo/awesome-llm-apps, virattt/ai-hedge-fund
+**Frameworks** (15% of top 25)
+- Frontend: vuejs/vue, facebook/react, twbs/bootstrap
+- Backend: tensorflow/tensorflow, flutter/flutter
+**Utilities & Curations** (5% of top 25)
+- Awesome lists: sindresorhus/awesome
+- Tool collections: Z4nzu/hackingtool
+### 7. Longevity vs. Virality
+**Longevity Leaders** (Most Months in Top 25):
+- `TheAlgorithms/Python`: 24 months (2.0 years)
+- `jwasham/coding-interview-university`: 21 months (1.8 years)
+- `tensorflow/tensorflow`: 20 months (1.7 years)
+**Viral One-Hit Wonders** (High trending days, short duration):
+- `CSSEGISandData/COVID-19`: 356 days in 1 month, then disappeared
+- `996icu/996.ICU`: 148 days in 1 month (April 2019 protest)
+- `kelseyhightower/nocode`: 75 score across 3 months (2018), then gone
+**Pattern:** Educational resources sustain; news/events spike and fade.

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	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
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monthly/data.csv ADDED Viewed

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