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https://github.com/codecrafters-io/build-your-own-x
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151
.github/scripts/generate_stats.py
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151
.github/scripts/generate_stats.py
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#!/usr/bin/env python3
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"""
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Generate language statistics from README.md and create a visualization in STATS-main.md
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"""
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import re
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from collections import Counter
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from typing import Dict, List, Tuple
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def extract_languages_from_readme(filename: str = 'README.md') -> List[str]:
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"""Extract all programming languages mentioned in project entries."""
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languages = []
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with open(filename, 'r', encoding='utf-8') as f:
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content = f.read()
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# Pattern to match: * [**Language**: _Title_](url)
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# Handles multiple languages separated by / or ,
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pattern = r'^\* \[\*\*([^*]+)\*\*:'
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matches = re.findall(pattern, content, re.MULTILINE)
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for match in matches:
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# Split by / or , and clean up whitespace
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langs = re.split(r'\s*/\s*|\s*,\s*', match)
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for lang in langs:
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lang = lang.strip()
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if lang:
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languages.append(lang)
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return languages
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def normalize_language(lang: str) -> str:
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"""Normalize language names for consistency."""
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# Handle common variations
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normalizations = {
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'Node.js': 'JavaScript'
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}
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return normalizations.get(lang, lang)
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def count_languages(languages: List[str]) -> Dict[str, int]:
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"""Count occurrences of each language."""
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normalized = [normalize_language(lang) for lang in languages]
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return dict(Counter(normalized))
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def create_horizontal_bar(count: int, max_count: int, bar_width: int = 50) -> str:
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"""Create a horizontal bar for visualization."""
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filled = int((count / max_count) * bar_width)
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bar = '█' * filled + '░' * (bar_width - filled)
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return bar
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def generate_stats_markdown(language_counts: Dict[str, int], num_projects: int) -> str:
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"""Generate the markdown content for STATS-main.md."""
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# Sort by count (descending) then by name
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sorted_langs = sorted(language_counts.items(), key=lambda x: (-x[1], x[0]))
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total_language_mentions = sum(language_counts.values())
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max_count = max(language_counts.values())
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# Separate languages >= 1% and < 1%
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threshold = num_projects * 0.01 # 1% threshold
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main_langs = []
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other_langs = []
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for lang, count in sorted_langs:
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if count >= threshold:
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main_langs.append((lang, count))
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else:
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other_langs.append((lang, count))
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# Calculate "Other" total
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other_count = sum(count for _, count in other_langs)
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# Build markdown content
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lines = [
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"# Build Your Own X - Language Statistics\n",
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f"**Total Projects:** {num_projects}\n",
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f"**Total Language Mentions:** {total_language_mentions} *(some projects support multiple languages)*\n",
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f"**Unique Languages:** {len(language_counts)}\n",
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f"**Last Updated:** {get_current_date()}\n",
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"---\n",
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"## Language Distribution\n",
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"| Language | Count | Percentage | Distribution |",
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"|----------|-------|------------|--------------|"
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]
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for lang, count in main_langs:
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percentage = (count / num_projects) * 100
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bar = create_horizontal_bar(count, max_count, 30)
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lines.append(f"| {lang} | {count} | {percentage:.1f}% | {bar} |")
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# Add "Other" category if there are languages < 1%
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if other_langs:
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percentage = (other_count / num_projects) * 100
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bar = create_horizontal_bar(other_count, max_count, 30)
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lines.append(f"| Other* | {other_count} | {percentage:.1f}% | {bar} |")
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lines.append("\n---\n")
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lines.append("## Top 10 Languages\n")
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for i, (lang, count) in enumerate(sorted_langs[:10], 1):
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percentage = (count / num_projects) * 100
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lines.append(f"{i}. **{lang}**: {count} projects ({percentage:.1f}%)")
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# Add footnote for "Other" languages
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if other_langs:
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lines.append("## Footnotes\n")
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lines.append(f"**\\* Other languages** (each < 1% of total projects): ")
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other_names = [f"{lang} ({count})" for lang, count in sorted(other_langs, key=lambda x: (-x[1], x[0]))]
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lines.append(", ".join(other_names))
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return '\n'.join(lines) + '\n'
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def get_current_date() -> str:
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"""Get current date in YYYY-MM-DD format."""
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from datetime import datetime
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return datetime.now().strftime('%Y-%m-%d')
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def count_projects(filename: str = 'README.md') -> int:
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"""Count the actual number of project entries."""
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with open(filename, 'r', encoding='utf-8') as f:
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content = f.read()
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pattern = r'^\* \[\*\*([^*]+)\*\*:'
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matches = re.findall(pattern, content, re.MULTILINE)
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return len(matches)
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def main():
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print("Analyzing README.md...")
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num_projects = count_projects()
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print(f"Found {num_projects} project entries")
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languages = extract_languages_from_readme()
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print(f"Extracted {len(languages)} language mentions (some projects list multiple languages)")
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language_counts = count_languages(languages)
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print(f"Detected {len(language_counts)} unique languages")
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print("\nGenerating STATS-main.md...")
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stats_content = generate_stats_markdown(language_counts, num_projects)
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with open('STATS-main.md', 'w', encoding='utf-8') as f:
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f.write(stats_content)
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print("✓ STATS-main.md generated successfully!")
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print(f"\nTop 5 languages:")
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sorted_langs = sorted(language_counts.items(), key=lambda x: -x[1])
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for lang, count in sorted_langs[:5]:
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print(f" - {lang}: {count}")
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if __name__ == '__main__':
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main()
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42
.github/workflows/update-stats.yml
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.github/workflows/update-stats.yml
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name: Update Language Statistics
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on:
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push:
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branches:
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- main
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- master
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paths:
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- 'README.md'
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workflow_dispatch:
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jobs:
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update-stats:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.x'
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- name: Generate language statistics
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run: python3 .github/scripts/generate_stats.py
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- name: Check for changes
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id: git-check
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run: |
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git diff --exit-code STATS-main.md || echo "changed=true" >> $GITHUB_OUTPUT
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- name: Commit and push if changed
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if: steps.git-check.outputs.changed == 'true'
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run: |
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git config --local user.email "github-actions[bot]@users.noreply.github.com"
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git config --local user.name "github-actions[bot]"
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git add STATS-main.md
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git commit -m "Auto-update language statistics [skip ci]"
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git push
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50
STATS-main.md
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STATS-main.md
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# Build Your Own X - Language Statistics
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**Total Projects:** 350
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**Total Language Mentions:** 356 *(some projects support multiple languages)*
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**Unique Languages:** 35
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**Last Updated:** 2026-01-16
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---
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## Language Distribution
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| Language | Count | Percentage | Distribution |
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|----------|-------|------------|--------------|
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| JavaScript | 69 | 19.7% | ██████████████████████████████ |
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| Python | 68 | 19.4% | █████████████████████████████░ |
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| C | 49 | 14.0% | █████████████████████░░░░░░░░░ |
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| C++ | 33 | 9.4% | ██████████████░░░░░░░░░░░░░░░░ |
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| Go | 23 | 6.6% | ██████████░░░░░░░░░░░░░░░░░░░░ |
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| Rust | 17 | 4.9% | ███████░░░░░░░░░░░░░░░░░░░░░░░ |
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| C# | 16 | 4.6% | ██████░░░░░░░░░░░░░░░░░░░░░░░░ |
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| Ruby | 13 | 3.7% | █████░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| Java | 9 | 2.6% | ███░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| Nim | 9 | 2.6% | ███░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| Haskell | 6 | 1.7% | ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| PHP | 5 | 1.4% | ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| TypeScript | 5 | 1.4% | ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| (any) | 4 | 1.1% | █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
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| Other* | 30 | 8.6% | █████████████░░░░░░░░░░░░░░░░░ |
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---
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## Top 10 Languages
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1. **JavaScript**: 69 projects (19.7%)
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2. **Python**: 68 projects (19.4%)
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3. **C**: 49 projects (14.0%)
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4. **C++**: 33 projects (9.4%)
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5. **Go**: 23 projects (6.6%)
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6. **Rust**: 17 projects (4.9%)
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7. **C#**: 16 projects (4.6%)
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8. **Ruby**: 13 projects (3.7%)
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9. **Java**: 9 projects (2.6%)
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10. **Nim**: 9 projects (2.6%)
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## Footnotes
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**\* Other languages** (each < 1% of total projects):
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Assembly (3), Clojure (2), Crystal (2), F# (2), Kotlin (2), Lua (2), OCaml (2), Scala (2), ATS (1), Alloy (1), CSS (1), Common Lisp (1), Elixir (1), Pascal (1), Perl (1), Pseudocode (1), R (1), Racket (1), Shell (1), Swift (1), Zig (1)
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