diamond-in/github-top-developers

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

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)

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)

Notable: emilk appeared on trending 124 times in 2024 alone (nearly every 3 days!)

2. All-Time Top 10 (Total Score Across All Years)

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