# GitHub Trends Analysis (2025)

Analysis of GitHub stars, forks, activity, and community trends.

## Top Python Libraries by Stars

### Web Frameworks
1. **FastAPI** - 75k+ stars
   - Growth: Rapid (2-3k/month)
   - Activity: Very high
   - Community: Large, active
   - Trend: Rising star

2. **Django** - 80k+ stars
   - Growth: Steady (500/month)
   - Activity: High
   - Community: Largest
   - Trend: Stable, mature

3. **Flask** - 67k+ stars
   - Growth: Slow (200/month)
   - Activity: Moderate
   - Community: Large
   - Trend: Stable, legacy

### Data Processing
1. **Pandas** - 43k+ stars
   - Growth: Steady (300/month)
   - Activity: High
   - Community: Very large
   - Trend: Stable, mature

2. **Polars** - 30k+ stars
   - Growth: Rapid (1k+/month)
   - Activity: Very high
   - Community: Growing fast
   - Trend: Rising star

3. **DuckDB** - 25k+ stars
   - Growth: Rapid (800/month)
   - Activity: Very high
   - Community: Growing
   - Trend: Rising star

### ML/AI Frameworks
1. **PyTorch** - 85k+ stars
   - Growth: Rapid (1k+/month)
   - Activity: Very high
   - Community: Largest
   - Trend: Dominant

2. **TensorFlow** - 185k+ stars
   - Growth: Steady (500/month)
   - Activity: High
   - Community: Very large
   - Trend: Stable, mature

3. **JAX** - 35k+ stars
   - Growth: Rapid (500/month)
   - Activity: Very high
   - Community: Growing
   - Trend: Rising star

### LLM Frameworks
1. **LangChain** - 105k+ stars
   - Growth: Rapid (2k+/month)
   - Activity: Very high
   - Community: Very large
   - Trend: Dominant

2. **LlamaIndex** - 60k+ stars
   - Growth: Rapid (1k+/month)
   - Activity: Very high
   - Community: Large
   - Trend: Rising star

3. **DSPy** - 20k+ stars
   - Growth: Rapid (500/month)
   - Activity: High
   - Community: Growing
   - Trend: Rising star

### Testing Frameworks
1. **pytest** - 12k+ stars
   - Growth: Steady (200/month)
   - Activity: High
   - Community: Very large
   - Trend: Dominant

2. **Hypothesis** - 8k+ stars
   - Growth: Steady (100/month)
   - Activity: High
   - Community: Growing
   - Trend: Stable

### Type Checkers
1. **mypy** - 18k+ stars
   - Growth: Steady (100/month)
   - Activity: Moderate
   - Community: Large
   - Trend: Stable

2. **pyright** - 13k+ stars
   - Growth: Rapid (200/month)
   - Activity: High
   - Community: Growing
   - Trend: Rising

3. **basedpyright** - 2k+ stars
   - Growth: Rapid (100/month)
   - Activity: Very high
   - Community: Growing
   - Trend: Rising star

### Linters
1. **Ruff** - 12k+ stars
   - Growth: Rapid (300/month)
   - Activity: Very high
   - Community: Growing fast
   - Trend: Rising star

2. **pylint** - 13k+ stars
   - Growth: Slow (50/month)
   - Activity: Moderate
   - Community: Large
   - Trend: Stable, legacy

3. **flake8** - 10k+ stars
   - Growth: Slow (30/month)
   - Activity: Low
   - Community: Large
   - Trend: Stable, legacy

### Package Managers
1. **UV** - 30k+ stars
   - Growth: Rapid (1k+/month)
   - Activity: Very high
   - Community: Growing fast
   - Trend: Rising star

2. **Poetry** - 31k+ stars
   - Growth: Steady (200/month)
   - Activity: Moderate
   - Community: Large
   - Trend: Stable

3. **PDM** - 8k+ stars
   - Growth: Steady (100/month)
   - Activity: High
   - Community: Growing
   - Trend: Rising

### Async Frameworks
1. **asyncio** - Built-in
   - Growth: N/A
   - Activity: High
   - Community: Very large
   - Trend: Standard

2. **trio** - 6k+ stars
   - Growth: Steady (50/month)
   - Activity: High
   - Community: Growing
   - Trend: Rising

3. **anyio** - 2k+ stars
   - Growth: Rapid (100/month)
   - Activity: Very high
   - Community: Growing
   - Trend: Rising star

### Databases
1. **SQLAlchemy** - 10k+ stars
   - Growth: Steady (100/month)
   - Activity: High
   - Community: Very large
   - Trend: Dominant

2. **Tortoise ORM** - 4k+ stars
   - Growth: Steady (50/month)
   - Activity: Moderate
   - Community: Growing
   - Trend: Stable

3. **Piccolo** - 1.5k+ stars
   - Growth: Steady (30/month)
   - Activity: High
   - Community: Small
   - Trend: Rising

### Validation
1. **Pydantic** - 20k+ stars
   - Growth: Rapid (500/month)
   - Activity: Very high
   - Community: Very large
   - Trend: Dominant

2. **msgspec** - 5k+ stars
   - Growth: Rapid (200/month)
   - Activity: Very high
   - Community: Growing
   - Trend: Rising star

3. **attrs** - 5k+ stars
   - Growth: Steady (50/month)
   - Activity: High
   - Community: Growing
   - Trend: Stable

## Emerging Trends

### Rising Stars (2025)
- ⭐ Polars (data processing)
- ⭐ UV (package manager)
- ⭐ Ruff (linting)
- ⭐ basedpyright (type checking)
- ⭐ anyio (async)
- ⭐ msgspec (serialization)
- ⭐ Ray (distributed)
- ⭐ Qdrant (vector DB)

### Declining/Stable
- 📉 Flask (mature, stable)
- 📉 pylint (replaced by Ruff)
- 📉 flake8 (replaced by Ruff)
- 📉 mypy (replaced by basedpyright)
- 📉 Poetry (replaced by UV)

### Dominant (Stable)
- 🏆 PyTorch (ML/AI)
- 🏆 TensorFlow (ML/AI)
- 🏆 Django (web)
- 🏆 FastAPI (API)
- 🏆 Pandas (data)
- 🏆 pytest (testing)
- 🏆 Pydantic (validation)
- 🏆 LangChain (LLM)

## Community Activity Metrics

### Most Active (Commits/Month)
1. PyTorch - 1000+
2. TensorFlow - 800+
3. FastAPI - 300+
4. Ruff - 200+
5. Polars - 200+

### Fastest Growing (Stars/Month)
1. UV - 1000+
2. LangChain - 2000+
3. Polars - 1000+
4. Ruff - 300+
5. basedpyright - 100+

### Largest Communities (Issues/Discussions)
1. PyTorch - 50k+
2. TensorFlow - 40k+
3. Django - 30k+
4. FastAPI - 20k+
5. Pandas - 20k+

## Recommendations Based on Trends

### Adopt Rising Stars
- ✅ UV (package manager)
- ✅ Ruff (linting)
- ✅ basedpyright (type checking)
- ✅ Polars (data processing)
- ✅ anyio (async)
- ✅ msgspec (serialization)

### Maintain Dominant Tools
- ✅ PyTorch (ML/AI)
- ✅ FastAPI (web)
- ✅ pytest (testing)
- ✅ Pydantic (validation)
- ✅ SQLAlchemy (ORM)

### Avoid Declining Tools
- ❌ Flask (use FastAPI)
- ❌ pylint (use Ruff)
- ❌ flake8 (use Ruff)
- ❌ mypy (use basedpyright)
- ❌ Poetry (use UV)

## GitHub Insights

### Most Forked
1. TensorFlow - 50k+ forks
2. PyTorch - 30k+ forks
3. Django - 25k+ forks
4. FastAPI - 15k+ forks
5. Pandas - 15k+ forks

### Most Watched
1. PyTorch - 5k+ watchers
2. TensorFlow - 4k+ watchers
3. Django - 3k+ watchers
4. FastAPI - 2k+ watchers
5. Pandas - 2k+ watchers

### Most Discussed
1. PyTorch - Very active
2. TensorFlow - Very active
3. Django - Very active
4. FastAPI - Very active
5. Pandas - Very active

## Conclusion

GitHub trends show clear winners and rising stars:
- **Rust-based tools** (Ruff, UV) dominating
- **Modern async** (anyio, trio) gaining traction
- **Performance-focused** (Polars, msgspec) rising
- **LLM frameworks** (LangChain, LlamaIndex) explosive growth
- **Legacy tools** (Flask, pylint, mypy) stable but declining

