cobol-parser

Python library for parsing IBM Enterprise COBOL source into an AST. Supports dependency extraction, dead code detection, program flow analysis, and CRUD matrices. 99.1% parse success on the NIST COBOL-85 corpus.

Install

pip install -e ".[dev]"

Requires Python 3.11, 3.12, or 3.13.

Install the CLI globally (uv)

To get the cobol-parser command on your PATH in any directory, without setting up a project virtualenv:

uv tool install .            # from a clone of this repo
uv tool install --editable . # dev mode: picks up code changes without reinstalling

uv tool install builds the Cython fast-path extensions as part of the install, so the CLI runs at full speed. Verify it worked from anywhere:

cobol-parser --version

After pulling new commits (non-editable install only), rerun uv tool install . --reinstall to update.

Quick Start

from cobolparser import parse_cobol

result = parse_cobol(source, filename="prog.cbl")
if result.success:
    print(result.ast.program_name)
    print(result.ast.to_json())

CLI:

cobol-parser parse program.cbl
cobol-parser analyze program.cbl      # dynamic call analysis
cobol-parser dead-code program.cbl    # unreferenced paragraphs
cobol-parser lint program.cbl         # every analyzer at once, as one list

Lint a program

lint runs several analyzers over a single parse and reports everything they found as one severity-graded list, instead of one subcommand (and one re-parse) per concern:

cobol-parser lint program.cbl --format text

program.cbl:6:1: warning [unused-variables] WORKING-STORAGE item WS-NEVER-USED (level 01) is never referenced in the PROCEDURE DIVISION
program.cbl:12:5: error [move-type-check] Illegal MOVE: cannot move NUMERIC item 'WS-COUNTER' to ALPHABETIC item 'WS-ALPHA'
program.cbl:17:1: warning [dead-code] paragraph ORPHAN-PARA is never referenced
3 finding(s): 1 error, 2 warning, 0 info (7 rule(s) ran)

--rule narrows the run (rule ids are the analyzer subcommand names), --min-severity narrows the output, and --fail-on error exits 3 when anything at that severity was reported — a CI gate that stays distinct from exit 1, which still means the run itself failed. --format json (the default) additionally reports which rules ran, which raised, and what could not be checked, so a quiet report is never mistaken for a clean program.

from cobolparser import LintAnalyzer, parse_cobol

report = LintAnalyzer().analyze(parse_cobol(source, filename="prog.cbl").ast)
for finding in report.findings:
    print(finding.rule, finding.severity, finding.message)

Generate test data from a copybook

gen-data turns a copybook record layout into a CSV of synthetic records — one column per elementary field, values that always fit the field's PICTURE, USAGE, and level-88 domain:

cobol-parser gen-data CUSTOMER.cpy --rows 100 --seed 7 -o customers.csv

from cobolparser.generators import CopybookDataGenerator, DataGeneratorOptions

dataset = CopybookDataGenerator(
    DataGeneratorOptions(rows=100, seed=7)
).generate_from_file("CUSTOMER.cpy")
print(dataset.to_csv())

A seed makes output byte-identical across runs; omit it and the seed that was drawn is reported on dataset.seed (and by gen-data --describe) so any run can be replayed. REDEFINES and FILLER are excluded by default, and OCCURS tables expand to one column per occurrence.

Commands

# Tests
python -m pytest tests/ -v
python -m pytest --cov=cobolparser --cov-report=html

# Lint / format / type-check
ruff check .
black .
mypy cobolparser/

Documentation

Full reference: .okf/index.md

License

GNU Affero General Public License v3.0 or later — Copyright © 2026 Samuel Dion. See LICENSE.