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OSS Report: krahets/hello-algo


Hello Algorithm Project Expands Language Support, Refines Translations Amid Active Development

Hello Algorithm is an open-source, multi-language tutorial for data structures and algorithms, featuring animated illustrations and runnable code examples. Created in November 2022, it has quickly gained popularity with 95,000 GitHub stars.

Recent activity has focused on expanding language support, particularly for Scala, though these efforts have not yet been merged. Ongoing translation work, especially to English, continues to improve accessibility. Code quality enhancements, particularly for Rust and C++, demonstrate a commitment to idiomatic implementations across supported languages.

Recent Activity

Issues and PRs indicate a push for broader language support, with multiple unmerged attempts to add Scala (#1486, #1488, #1489). Translation efforts, particularly to English (#1484, #1483, #1471), remain a priority. Bug fixes and code improvements span multiple languages, with a focus on Rust (#1505, #1485) and C++ (#1474).

Recent development team activity:

  1. steventimes: Refined binary search tree documentation translation.
  2. Enlightenus: Improved hash map documentation translation.
  3. rongyi: Made Rust code more idiomatic across multiple files, opened 2 PRs for Rust improvements.
  4. yuelinxin: Refined translations of graph traversal and operations documentation.
  5. Risuntsy: Fixed a minor mistake in Rust code for subset sum problem.
  6. krahets (Yudong Jin): Project maintainer, merged multiple PRs, made various documentation updates and improvements.

Of Note

  1. Significant community interest in adding Scala support, though integration challenges persist.
  2. Ongoing refinement of English translations indicates a strategic focus on global accessibility.
  3. Rust code improvements suggest a push for more idiomatic implementations.
  4. Addition of development Docker setup (#1479) improves the project's development environment.
  5. High number of unmerged PRs, particularly for new language support, indicates a rigorous review process.

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Recent GitHub Issues Activity

Timespan Opened Closed Comments Labeled Milestones
7 Days 1 0 0 1 1
30 Days 4 4 4 4 1
90 Days 23 25 36 23 1
1 Year 152 151 336 140 1
All Time 209 199 - - -

Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.

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Quantified Commit Activity Over 30 Days

Developer Avatar Branches PRs Commits Files Changes
rongyi 1 2/2/0 2 6 87
Enlightenus 1 0/1/0 1 1 30
steventimes 1 0/1/0 1 1 30
Yuelin Xin 1 0/2/0 2 2 12
Risun 1 1/1/0 1 2 4
None (Fuuuuuji) 0 0/0/1 0 0 0
WangBlue (WangBlue1) 0 7/0/7 0 0 0
gopher (gopherHsu) 0 1/0/1 0 0 0
JTing (hujingting) 0 1/0/1 0 0 0
qinmu (magentaqin) 0 2/0/0 0 0 0
José Arnulfo Aragon (aragongit16) 0 0/0/1 0 0 0
豆爸 (xiazhicheng) 0 1/0/1 0 0 0

PRs: created by that dev and opened/merged/closed-unmerged during the period

Detailed Reports

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Based on the provided information, here is a brief analysis of the GitHub Issues for the "Hello Algorithm" project:

Recent Activity Analysis:

The project has seen active development and community engagement, with recent issues covering various aspects including content improvements, code translations, and bug fixes. There is ongoing work to expand language support, with efforts to add Ruby, Rust, and other programming languages to the existing set.

Notable issues and themes:

  1. Language support expansion: There are multiple issues and ongoing efforts to add support for more programming languages, including Ruby (#1253), Rust (#112), and requests for languages like Kotlin (#779) and PHP (#1139).

  2. Content improvements: Users have suggested adding new topics like KMP algorithm (#743), string algorithms (#765), and more advanced data structures like skip lists (#489).

  3. Translation efforts: There is significant work being done to translate the content into English (#736, #915) and Traditional Chinese (#1054, #1171).

  4. Bug fixes and code improvements: Several issues address bugs in code examples or suggest optimizations across different language implementations.

  5. Documentation and deployment: There are requests and efforts to improve documentation, local deployment instructions, and PDF generation for offline reading.

  6. User experience: Some issues relate to improving the website's performance, mobile responsiveness, and overall user experience.

Issue Details:

Most recently created:

  • #1507: Graph representation error in illustration (Open)
  • #1497: Question about time complexity definition (Closed)
  • #1495: Suggestion for dynamic programming implementation (Closed)

Most recently updated:

  • #1171: Traditional Chinese translation (Open, ongoing work)
  • #817: Request for EPUB format (Open, under consideration)
  • #1366: Request for PDF versions in English and Traditional Chinese (Open, planned for future release)

The project maintainers appear to be responsive to user feedback and actively working on improving and expanding the content across multiple dimensions.

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Overview

This report analyzes 40 recent pull requests for the "Hello Algorithm" project, covering code improvements, translations, bug fixes, and new language support across multiple chapters.

Summary of Pull Requests

#1505: Improved Rust code idioms in array and linked list implementations. #1502: Translated binary tree chapter to English. #1501: Translated tree chapter index to English. #1499: Proposed updates to heap push operation description (not merged). #1496: Added Pythonic implementation of quicksort (not merged). #1493: Added Scala code for array and linked list chapter (not merged). #1492: Added Scala code for computational complexity chapter (not merged). #1491: Added Scala utils files (not merged). #1490: Attempted to add Scala code (duplicate, not merged). #1489: Comprehensive Scala code translation attempt (not merged). #1488: Another comprehensive Scala translation attempt (not merged). #1487: Fixed minor mistake in Rust code for subset sum problem. #1486: Large-scale attempt to add Scala support (not merged). #1485: Made Rust code more idiomatic across multiple files. #1484: Refined English translation of binary search tree document. #1483: Refined English translation of hash map document. #1479: Added development Docker setup and instructions. #1478: Added missing period in documentation. #1477: Removed extra spaces in documentation. #1474: Improved C++ code to use swap consistently. #1472: Various bug fixes and improvements across codebase. #1471: Refined English translation of Time Complexity section. #1465: Suggested correction in binary search insertion document (not merged). #1464: Proposed improvements to graph adjacency matrix implementation (not merged). #1455: Updated binary tree definition for completeness. #1454: Clarified definition of complete binary tree. #1453: Fixed typo in documentation. #1448: Corrected translation mistake in AVL tree rotations. #1436: Suggested update to subset sum implementation (not merged). #1434: Improved HTML structure for better accessibility. #1432: Added Kotlin code support for Time Complexity section (not merged). #1431: Attempted to add Scala build configuration (not merged). #1419: Created empty study file (not merged). #1413: Proposed update to binary search edge case handling (not merged). #1412: Enhanced corner case handling in graph edge removal. #1411: Removed unnecessary type conversions in Rust code. #1407: Suggested improvement for edge existence check in graph implementation (not merged). #1406: Corrected comment translation in binary tree document. #1405: Fixed invalid code comment. #1404: Corrected code comment error in Go implementation.

Analysis of Pull Requests

  1. Multi-language support: The project continues to expand its language coverage, with significant efforts to add Scala support (#1486, #1488, #1489, #1491, #1492, #1493). However, these attempts have not been merged, suggesting potential integration challenges or quality concerns.

  2. Translation efforts: There's ongoing work to improve English translations (#1484, #1483, #1471, #1502, #1501), indicating a focus on making the project more accessible to a global audience.

  3. Code quality improvements: Many PRs focus on making existing code more idiomatic or efficient in various languages, particularly Rust (#1505, #1485, #1411) and C++ (#1474).

  4. Bug fixes and minor improvements: Several PRs address small issues like typos (#1453), missing punctuation (#1478), and incorrect comments (#1405, #1404, #1406), showing attention to detail and community involvement in maintenance.

  5. Documentation enhancements: PRs like #1454 and #1455 clarify definitions and improve the accuracy of conceptual explanations.

  6. New features and tooling: PR #1479 added development Docker setup, improving the project's development environment.

  7. Accessibility improvements: PR #1434 focused on enhancing HTML structure for better web accessibility.

  8. Algorithmic improvements: Some PRs propose optimizations or alternative implementations for algorithms, such as #1496 for quicksort and #1412 for graph operations.

  9. Unmerged contributions: A significant number of PRs, especially those adding new language support or proposing substantial changes, remain unmerged. This could indicate a careful review process or potential alignment issues with the project's goals.

  10. Community engagement: The diversity of contributors and types of contributions (from minor fixes to major feature additions) demonstrates active community involvement in the project's development.

  11. Consistent maintenance: The regular stream of PRs and timely merging of many contributions indicates that the project is being actively maintained and improved.

In conclusion, the "Hello Algorithm" project shows signs of healthy development with a focus on multi-language support, improved translations, code quality, and community engagement. The challenges in integrating new language support (particularly Scala) and the careful consideration of proposed changes reflect a commitment to maintaining high standards in the educational content and code examples.

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Development Team and Recent Activity

Based on the commit history and PR activity, here are the key recent contributors and their activities:

  • steventimes: Refined translation of binary search tree documentation.

  • Enlightenus: Improved translation of hash map documentation.

  • rongyi: Made Rust code more idiomatic across multiple files. Opened 2 PRs for Rust improvements.

  • yuelinxin: Refined translations of graph traversal and operations documentation.

  • Risuntsy: Fixed a minor mistake in Rust code for subset sum problem.

  • krahets (Yudong Jin): Project maintainer. Merged multiple PRs, made various documentation updates and improvements.

Patterns and themes:

  1. Ongoing translation efforts, particularly refining existing translations.

  2. Code improvements focused on making implementations more idiomatic, especially for Rust.

  3. Minor bug fixes and documentation updates across multiple languages.

  4. Active maintenance and merging of contributions by the project owner.

  5. Contributions span documentation, code, and translations, indicating a well-rounded community effort.

  6. Most recent activity is concentrated on refinements and optimizations rather than adding major new features.