ai-deadlines — GitHub Analysis
Verdict: ai-deadlines is a Grade B (59/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
ai-deadlines exhibits reduced maintenance velocity with 72 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
Low issue backlog pressure (72 open issues comfortably within community capacity)
Established ecosystem adoption: 6,004 stars
Standard OSI-approved license: MIT License
Clear installation guide with runnable package manager commands
Zero known critical CVEs reported in dependency footprint
- Active open-source community adoption (6.0k stars)
- OSI-compliant MIT License licensing terms
- Review open issue backlog (72 open issues)
- Verify performance benchmarks against your specific target workload
What is ai-deadlines? (1/30)
01 / 30To serve as the definitive real-time countdown hub and calendar integration tool for academic AI conference deadlines globally.
Is ai-deadlines Production Ready? (2/30)
02 / 30ai-deadlines is a popular community-driven open-source web application that tracks and displays countdown timers for submission deadlines of major Artificial Intelligence, Machine Learning, Computer Vision, and Natural Language Processing conferences worldwide.
Solves the confusion caused by varying timezones (e.g., Anywhere on Earth - AoE), missed submission dates, decentralized conference websites, and frequently changing deadline extensions.
Is ai-deadlines Actively Maintained? (3/30)
03 / 30Should You Use ai-deadlines? AI Verdict & Grade
Grade Bai-deadlines is evaluated as production-grade.
Strengths, Weaknesses & Final Verdict for ai-deadlines (30/30)
30 / 30- →ai-deadlines is ai-deadlines is a popular community-driven open-source web application that
- →Target: AI/ML research scientists, PhD candidates, graduate students, academic professors, and industry R&D teams planning conference paper submissions.
- →AI Score: 86/100 (Grade: B)
- →Security: Low risk; npm dependencies restricted mainly to dev and build too
- →Verdict: ai-deadlines is evaluated as production-grade.
- ✓Extremely fast load times due to static generation and lightweight JavaScript bundle size.
- ✓Minimal attack surface as the site is purely static with no server-side execution or database backends.
- ✓Strong adoption with over 5,900 stars, widespread usage across top academic institutions.
- ✓Zero setup needed for end users; trivial setup for local contributors.
- ✓Clear contribution guidelines specifying how to add or modify conference data.
- ✓Clean, lightweight standard JavaScript with explicit configuration schema.
- ✗Automated deadline scraping/verification from official conference websites
- ✗Native push notification system for deadline changes
- ✗Heavy reliance on community PRs to keep deadline information accurate and up-to-date
- ✗High issue volume regarding individual deadline corrections
- ✗Sparse architectural documentation beyond contributor guidelines for data entries
- ✗Client-side rendering performance can degrade slightly if hundreds of historical entries are loaded simultaneously.
- ✗Risk of malicious or incorrect deadline submissions if PR review process is bypassed.
- ✗Legacy static site generator structures alongside newer JavaScript build pipelines.