prometheus/python_frameworks.txt at main · ahb-sjsu/prometheus · GitHub

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# Python Frameworks & Libraries to Analyze
# For Prometheus Resilience/Complexity Analysis

# =============================================================================
# WEB FRAMEWORKS (High visibility, people have strong opinions)
# =============================================================================
pallets/flask              # Already tested - FORTRESS
django/django              # The big one - expect BUNKER or FORTRESS
encode/starlette           # Async foundation for FastAPI
tiangolo/fastapi           # Hugely popular, built on Starlette
bottlepy/bottle            # Single-file micro framework
tornadoweb/tornado         # Async networking library
sanic-org/sanic            # Fast async framework
falconry/falcon            # REST APIs, minimal

# =============================================================================
# HTTP CLIENTS (Interesting resilience story)
# =============================================================================
psf/requests               # Already tested - DEATHTRAP (no default timeouts!)
aio-libs/aiohttp           # Async HTTP - better defaults?
encode/httpx               # Modern requests alternative
urllib3/urllib3            # Underlying requests - more defensive?

# =============================================================================
# DATABASE / ORM (Complex, interesting patterns)
# =============================================================================
sqlalchemy/sqlalchemy      # The ORM - expect complex, hopefully defended
coleifer/peewee            # Lightweight ORM
django/django              # Has ORM built-in
mongodb/mongo-python-driver # MongoDB driver
redis/redis-py             # Redis client

# =============================================================================
# ASYNC / CONCURRENCY (Should have resilience patterns)
# =============================================================================
python-trio/trio           # Structured concurrency - should score well
aio-libs/aiojobs           # Job scheduler
celery/celery              # Task queue - complex, needs resilience
rq/rq                      # Simple job queue

# =============================================================================
# DATA SCIENCE (Large, complex codebases)
# =============================================================================
pandas-dev/pandas          # Data analysis (WARNING: huge)
numpy/numpy                # Numerical computing (WARNING: huge, mostly C)
scikit-learn/scikit-learn  # ML library

# =============================================================================
# CLI / UTILITIES (Should be simple)
# =============================================================================
pallets/click              # CLI framework (same org as Flask)
tiangolo/typer             # Modern CLI (built on click)
tqdm/tqdm                  # Progress bars
python-poetry/poetry       # Package manager

# =============================================================================
# TESTING (Meta: test the testing frameworks)
# =============================================================================
pytest-dev/pytest          # The testing framework
HypothesisWorks/hypothesis # Property-based testing

# =============================================================================
# SECURITY / AUTH (Should be defensive)
# =============================================================================
pyca/cryptography          # Crypto library - should be FORTRESS
jpadilla/pyjwt             # JWT handling
oauthlib/oauthlib          # OAuth implementation

# =============================================================================
# API / SERIALIZATION
# =============================================================================
marshmallow-code/marshmallow  # Object serialization
pydantic/pydantic          # Data validation (FastAPI uses this)
ijl/orjson                 # Fast JSON

# =============================================================================
# QUICK TEST SET (Good variety, reasonable size)
# =============================================================================
# django/django
# encode/httpx
# sqlalchemy/sqlalchemy
# celery/celery
# pallets/click
# pytest-dev/pytest
# pydantic/pydantic

# =============================================================================
# PREDICTION: Most Interesting Results
# =============================================================================
#
# EXPECTED FORTRESS (complex but defended):
#   - django/django (mature, security-conscious)
#   - sqlalchemy/sqlalchemy (handles many edge cases)
#   - pyca/cryptography (security-critical)
#
# EXPECTED GLASS HOUSE (simple, minimal resilience):
#   - pallets/click (CLI utility)
#   - tqdm/tqdm (simple utility)
#   - ijl/orjson (performance-focused)
#
# EXPECTED DEATHTRAP (complex, questionable resilience):
#   - celery/celery (distributed = complex failure modes)
#
# COULD GO EITHER WAY:
#   - encode/httpx (modern, but is it defensive?)
#   - tiangolo/fastapi (popular, but young)
#   - pydantic/pydantic (validation = some defense)
#
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