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.

Supports single files, multiple files, and recursive directory cleaning with a tight summary mode for large runs.

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.)
• Shadowed built-ins
• Dangerous calls (eval, exec, pickle, os.system, subprocess(..., shell=True), unsafe yaml.load)
• Possible hardcoded secrets
• Assert statements
• Broad except: / except Exception

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

Single file:

pystreamliner your_file.py

Multiple files:

pystreamliner file1.py file2.py utils/*.py

Entire project (recursive):

pystreamliner .
# or
pystreamliner src/ tests/

Directories are walked recursively. Common junk directories (.git, __pycache__, venv, node_modules, etc.) are automatically skipped.

Preview without modifying:

pystreamliner --dry-run .

CI mode (exit non-zero on issues):

pystreamliner --check --quiet .

Big runs / Summary mode

When you process 5 or more files (configurable with --summary-threshold), pystreamliner switches to a compact summary instead of dumping a full report for every file:

══════════════════════════════════════════════════
 PyStreamliner Summary
══════════════════════════════════════════════════
 Files processed:         47
 Clean (no issues):       39
 Modified:                 6
 Warnings only:            2

 Totals:
 Unused imports removed:      14
 Duplicate lines removed:      3
 Blank lines reduced:         11
 Warnings issued:              8
──────────────────────────────────────────────────

 Files modified:
  ✓ src/utils.py  (3 imports, 2 blanks)
  ✓ src/main.py   (1 imports + 2 warnings)
  ...
══════════════════════════════════════════════════

This keeps the output usable even on large codebases.

Example (single-file detailed report)

══════════════════════════════════════════
  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
══════════════════════════════════════════

Contributing

See CONTRIBUTING.md.