pystreamliner

Automatically clean up messy Python files — without breaking anything.

pystreamliner uses Python's AST (abstract syntax tree) to safely detect and fix common code issues. It operates on two tiers: things it can fix automatically with zero risk, and things it flags for you to review manually.

What it does

Auto-fixes (Tier 1 — applied immediately):

Removes unused imports, or trims partially unused from x import y statements
Removes consecutive duplicate lines
Caps excessive blank lines

Warnings (Tier 2 — reported, never auto-changed):

Unused variables
Unused top-level functions
Vague variable names (x, tmp, foo, bar, etc.)

pystreamliner never touches code it isn't certain about. If there's any doubt, it warns you instead.

Install

pip install pystreamliner

No dependencies. Runs on Python 3.13+.

Usage

python streamliner.py your_file.py

This will:

Analyze your_file.py
Write the cleaned version in-place
Print a full report of what was changed and what needs manual review
Show a diff of every modification

Preview changes without modifying anything:

python streamliner.py --dry-run your_file.py

Example output

══════════════════════════════════════════
  PyStreamliner Report
══════════════════════════════════════════
  File:                        main.py
  Lines analyzed:                   312

  Auto-fixes applied:
    Unused imports removed:           3
    Duplicate lines removed:          1
    Blank lines reduced:              2

  Warnings (manual review needed):
    Unused variables detected:        2
    Unused functions detected:        1
    Vague variable names:             1
──────────────────────────────────────────

  Unused imports removed:
    • line 4:  import os
    • line 5:  import sys
    • line 7:  from pathlib import Path, PurePath  (partially cleaned: kept 'Path')

  Unused variables:
    ⚠ line 42:  result
    ⚠ line 87:  temp_val

  Vague variable names:
    ⚠ line 23:  tmp
══════════════════════════════════════════

Why not just use Black / isort / autoflake?

Those are great tools and pystreamliner doesn't replace them. The difference:

Black formats style. pystreamliner removes dead code.
autoflake removes unused imports but doesn't warn about unused variables, vague names, or dead functions.
pystreamliner combines lightweight static analysis with conservative auto-fixing and a human-readable report — in a single file with zero dependencies.

Contributing

See CONTRIBUTING.md.

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