1. Executive Summary
23.8%Dead
▼ Improving (-1.0% since last check)
| Metric | Value |
|---|---|
| Clinical Notes | "A vibrant ecosystem where every NPM install downloads half the internet." |
| Classification | language |
| Age | 35 years (est. 1991) |
2. Algorithmic Evaluation
The following mathematical model was applied to evaluate the existential footprint of Python. The deaditude score is heavily influenced by the components listed below.
D =fage × ∑i=1nWbase,i · qi∑ Wbase,j · qjCi
Where Ci ∈ {GH, SO, RE, HN, YT, JB}
Figure 1: Existential Footprint
Radar analysis mapping the six distinct vectors of existential threat.
Figure 2: Historical Deaditude Evolution
Expected Extinction Date (Approximation): Immortal / Stable
Chronological evolution of existential threat.
2. Clinical Analysis
2.1 Diagnostic Metrics
The following objective indicators have been collected to determine the existential status of this technology:
Codebase Vitality (GitHub)
- Stars: 76,419
- Forks: 35,356
- Open Issues: 7,023
- Issues Closed Ratio: 0.0%
- Recent Commits (last month): 398
- Days Since Last Commit: 0
- Contributors Count: 500
- Trend Direction: stable
- Trend Growth Rate: 0.0%
Community Cry for Help (StackOverflow)
- Total Questions (recent): 163
- Answered Ratio: 58.9%
- Accepted Ratio: 28.2%
- Zero Answer Ratio: 31.3%
- Median Response Time (hr): N/A
- Days Since Last Activity: 0
- Trend Direction: stable
Hype & Propaganda (YouTube)
- Recent Videos: 33
- Average Views: 47,878.4
Despair & Existential Dread (Reddit)
- Reddit Posts (recent): 75
- Average Upvotes: 38.9
- Trend Direction: stable
- Trend Growth Rate: 25.0%
Intellectual Discourse (Hacker News)
- Mentions (recent): 1,000
- Average Points: 15.2
- Days Since Last Post: 0
Corporate Adoption (StackShare & Jobs)
- Stacks Using It: 563,606
- StackShare Followers: 0
- StackShare Upvotes: 0
- StackShare Mentions: 0
- Open Job Postings: 223,524
- Jobs Trend Direction: stable
- Jobs Trend Growth Rate: 0.0%
Data retrieved at: 9/10/2026
Appendix A: Recent YouTube Propaganda
| Thumbnail | Video Details | Views |
|---|---|---|
 | Python for Beginners with Hands-On Projects Channel: freeCodeCamp.org | 147776 |
 | Python zip() Function - Visually Explained Channel: Visually Explained | 15564 |
 | Python Tutorial for Beginners - Learn the basics in 20 Min Channel: Tech With Tim | 34095 |
 | Python Full Course for Beginners Channel: Apna College | 1058430 |
 | Python Full Course 2026 – Zero to Data Analyst 🔥 (Complete Tutorial) Channel: Accounts Expert | 28850 |
Appendix B: Reddit Despair Logs
| Post Title | Score | Comments |
|---|---|---|
| The Python (3.16) docs now have a page detailing the time complexity of operations on built-in types | 529 | 95 |
| Python 3.15 Release Highlights | 343 | 77 |
| What are some Python automations you built for your life? | 311 | 160 |
| The Move to Python 3 Begins! | 303 | 107 |
| What are some fun Python-heavy niches? | 153 | 50 |
Appendix C: Hacker News Discourse
| Topic | Points | Comments |
|---|---|---|
| Python 3.15: features that didn't make the headlines | 432 | 220 |
| EVE Online moves to Python 3 | 406 | 227 |
| Making a Python interpreter in 1024 bytes | 322 | 112 |
| The Smallest Brain You Can Build: A Perceptron in Python | 307 | 73 |
| Thinking in Python | 305 | 60 |
Appendix D: StackOverflow Pleas for Help
| Question Title | Views | Status |
|---|---|---|
| Implementing a 3-layer neural network from scratch with gradient descent for tabular regression | 35 | Unanswered (0 ans) |
| PyCharm type-hint warning: Member 'None' of 'Any | None' does not have attribute '__getitem__' | 34 | Unanswered (0 ans) |
| Empty datetime() and type-hint errors | 77 | Answered (1 ans) |
| Many-to-many relation creates new items after migration | 88 | Unanswered (0 ans) |
| DEX arbitrages for EVM and solana chains | 63 | Unanswered (0 ans) |
Appendix E: Historical Deaditude Scores
| Date | Deaditude Score | Verdict |
|---|---|---|
| 9/10/2026 | 23.8% | Accidentally Alive |
| 8/27/2026 | 24.8% | Accidentally Alive |
| 8/12/2026 | 22.8% | Accidentally Alive |
| 7/29/2026 | 23.7% | Accidentally Alive |
| 7/15/2026 | 24.8% | Accidentally Alive |
| 7/4/2026 | 22.2% | Accidentally Alive |
| 6/21/2026 | 18.7% | Accidentally Alive |
| 6/8/2026 | 26.0% | Stable & Mature |
| 5/25/2026 | 22.6% | Accidentally Alive |
| 5/11/2026 | 28.0% | Stable & Mature |
| 4/28/2026 | 32.5% | Stable & Mature |
| 4/14/2026 | 32.3% | Stable & Mature |
| 3/31/2026 | 18.0% | Accidentally Alive |
| 3/18/2026 | 10.2% | Accidentally Alive |
| 3/4/2026 | 22.7% | Accidentally Alive |
| 2/18/2026 | 26.6% | Stable & Mature |
| 2/5/2026 | 10.2% | Accidentally Alive |
| 1/22/2026 | 26.6% | Stable & Mature |
| 1/8/2026 | 23.4% | Accidentally Alive |
| 12/26/2025 | 26.2% | Stable & Mature |
| 12/12/2025 | 19.1% | Accidentally Alive |
| 11/28/2025 | 13.6% | Accidentally Alive |
| 11/15/2025 | 26.9% | Stable & Mature |
| 11/2/2025 | 23.1% | Accidentally Alive |
| 10/19/2025 | 33.2% | Stable & Mature |
| 10/6/2025 | 26.5% | Stable & Mature |
| 9/22/2025 | 23.9% | Accidentally Alive |
| 9/8/2025 | 24.9% | Accidentally Alive |
| 8/26/2025 | 20.6% | Accidentally Alive |
| 8/12/2025 | 29.2% | Stable & Mature |
| 7/29/2025 | 27.6% | Stable & Mature |
| 7/16/2025 | 28.5% | Stable & Mature |
| 7/2/2025 | 26.5% | Stable & Mature |
| 6/18/2025 | 26.4% | Stable & Mature |
| 6/5/2025 | 26.5% | Stable & Mature |
| 5/10/2025 | 26.3% | Stable & Mature |
| 5/6/2025 | 22.9% | Accidentally Alive |
| 5/3/2025 | 30.1% | Stable & Mature |