Duplicate from ronantakizawa/github-top-developers

Co-authored-by: Ronan Takizawa <[email protected]>

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README.md

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+---
+license: mit
+task_categories:
+- text-classification
+- time-series-forecasting
+- text-retrieval
+tags:
+- github
+- trending
+- developers
+- open-source
+- time-series
+- social-data
+language:
+- en
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: yearly
+  data_files: "yearly/data.csv"
+  default: true
+- config_name: full
+  data_files: "full/data.csv"
+---
+
+# GitHub Top Developers by Year (2015-2025)
+
+A derived dataset showing the top-ranked GitHub trending developers for each year, based on weighted scoring of their trending appearances across 41,841 raw data points from the Wayback Machine.
+
+## 📊 Dataset Overview
+
+- **Total Entries**: 8,125 ranked developers
+- **Years Covered**: 2015 - 2025 (11 years)
+- **Unique Developers**: 4,763
+- **Source**: Derived from Wayback Machine snapshots of GitHub trending developers
+- **Data Order**: Sorted by year (descending: 2025 → 2015) and rank within each year
+
+## 🔧 Dataset Configurations
+
+This dataset has **two configurations** defined in the YAML header:
+
+### Configuration: `yearly` (Default)
+Top-ranked developers by year with 8,125 entries
+
+```python
+from datasets import load_dataset
+ds = load_dataset('ronantakizawa/github-top-developers', 'yearly')
+```
+
+**Columns:**
+- `year` (int): Year (2015-2025)
+- `rank` (int): Overall rank for that year (1 = highest score)
+- `username` (string): Developer/organization GitHub username
+- `name` (string): Real name of developer/organization *(enriched)*
+- `times_trended` (int): Number of times appeared on trending
+- `best_rank` (int): Highest rank achieved (lowest number)
+- `avg_rank` (float): Average rank across all appearances
+- `median_rank` (int): Median rank
+- `popular_repos` (string): Top repositories (comma-separated)
+- `recent_company` (string): Company/organization affiliation *(as of Dec 2025)*
+- `twitter_username` (string): Twitter/X handle *(as of Dec 2025)*
+
+### Configuration: `full`
+Complete daily trending data with 41,841 entries (sorted by date: most recent first)
+
+```python
+from datasets import load_dataset
+ds = load_dataset('ronantakizawa/github-top-developers', 'full')
+```
+
+**Columns:**
+- `name` (string): Developer/organization GitHub username
+- `rank` (int): Position in trending (1-25)
+- `popular_repo` (string): Associated repository at the time
+- `date` (string): Snapshot date (YYYY-MM-DD, sorted descending)
+
+## 🏆 Scoring Methodology
+
+Each developer's yearly score is calculated using:
+
+```
+Score = Σ (26 - rank) for each trending appearance
+
+Where:
+- Rank 1 = 25 points
+- Rank 2 = 24 points
+- ...
+- Rank 25 = 1 point
+```
+
+**Why this works:**
+- ✅ Rewards **frequent appearances** (more days trending = more points)
+- ✅ Rewards **high rankings** (rank 1 is worth more than rank 25. We use 25 because github ranks the top 25 developers on their page)
+- ✅ Balances consistency with peak performance
+
+## 🌟 Key Insights
+
+### 1. Year Winners (Highest Score Each Year)
+
+| Year | Winner | Score | Appearances | Notable Project |
+|------|--------|-------|-------------|-----------------|
+| 2025 | comfyanonymous | 257 | 18 | ComfyUI |
+| 2024 | **emilk** | **2,052** | **124** | egui (Rust GUI) |
+| 2023 | hrydgard | 1,858 | 111 | PPSSPP emulator |
+| 2022 | emilk | 1,958 | 107 | egui |
+| 2021 | PySimpleGUI | 1,993 | 120 | PySimpleGUI |
+| 2020 | stefanprodan | 1,033 | 64 | Flux CD |
+| 2019 | Microsoft | 308 | 15 | Various |
+| 2018 | google | 325 | 15 | Various |
+| 2017 | facebook / Microsoft | 77 | 4 | (tie) |
+| 2016 | facebook | 485 | 23 | React ecosystem |
+| 2015 | facebook | 48 | 2 | React |
+
+**Notable:** emilk appeared on trending **124 times in 2024 alone** (nearly every 3 days!)
+
+### 2. All-Time Top 10 (Total Score Across All Years)
+
+| Rank | Developer | Total Score | Total Appearances | Years Active |
+|------|-----------|-------------|-------------------|--------------|
+| 1 | **emilk** | **6,311** | 370 | 2020-2025 |
+| 2 | hrydgard | 5,181 | 324 | 2018-2024 |
+| 3 | stefanprodan | 4,910 | 306 | 2018-2022 |
+| 4 | stephencelis | 4,870 | 301 | 2016-2024 |
+| 5 | a8m | 4,649 | 323 | 2016-2024 |
+| 6 | hathach | 3,629 | 264 | 2018-2024 |
+| 7 | azure-sdk | 3,621 | 251 | 2020-2024 |
+| 8 | twpayne | 3,124 | 196 | 2017-2024 |
+| 9 | PySimpleGUI | 3,059 | 185 | 2019-2023 |
+| 10 | arvidn | 2,737 | 164 | 2017-2022 |
+
+### 3. Trend Shifts Over Time
+
+**2015-2017: Organization Era**
+- Big tech dominated: Facebook, Google, Microsoft
+- Individual developers rarely broke top 3
+- React ecosystem (Facebook) was the dominant force
+
+**2018-2019: Transition Period**
+- Mix of organizations and influential individuals
+- Rise of open-source foundations (Apache, Linux Foundation)
+- Container/cloud technologies gained traction
+
+**2020-2025: Individual Developer Era**
+- Individuals dominate top ranks consistently
+- **emilk** (egui) becomes most successful developer ever
+- Specialized tool creators rise (PySimpleGUI, hrydgard's PPSSPP)
+- AI/ML researchers become more prominent (rasbt, 2024-2025)
+
+### 5. Notable Patterns
+
+- **Extreme Consistency**: emilk appeared 370 times across 6 years (average 62 times/year)
+- **2021 Peak**: PySimpleGUI set record with 120 appearances in a single year
+- **Developer Longevity**: sindresorhus maintained relevance from 2015-2021 (7 years)
+- **Organization Decline**: Big tech companies dropped from top spots after 2019
+- **Ecosystem Impact**: Most top developers maintain influential open-source libraries