VI
Farama-Foundation/ViZDoom
Reinforcement Learning environments based on the 1993 game Doom :godmode:
2.0k 440 +1/wk
GitHub
deep-learning doom examples gym-environment gymnasium python reinforcement-learning vizdoom
Trend
3
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Farama-Foundation/ViZDoom has +1 stars this period . 7-day velocity: 0.3%.
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Signal-backed technical analysis will be available soon.
| Metric | ViZDoom | privacy | ViTPose | SciMLBook |
|---|---|---|---|---|
| Stars | 2.0k | 2.0k | 2.0k | 2.0k |
| Forks | 440 | 469 | 247 | 368 |
| Weekly Growth | +1 | +0 | +5 | +0 |
| Language | C++ | Python | Python | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | Apache-2.0 | N/A |
Capability Radar vs privacy
ViZDoom
privacy
Maintenance Activity 83
Last code push 36 days ago.
Community Engagement 100
Fork-to-star ratio: 22.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+1 stars this period — 0.05% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.