pydbml
Python parser and builder for DBML
Decision gist · record as of 2026-08-14
Yes. PyDBML is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you need to parse or generate DBML schemas in Python—it's the standard tool for that task.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or higher.
- Low install friction with a single runtime dependency (pyparsing).
- Active maintenance with a recent release in October 2025 and commits through April 2026.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.
last release 2025-10-24 (294 days) · last repo commit 2026-04-20 · 139 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 94,653 downloads/mo, #13,319 on PyPI
Alternatives
Verify before relying
from pydbml import PyDBML
from pathlib import Path
parsed = PyDBML(Path('schema.dbml'))
for table in parsed.tables:
print(table.name)
print(parsed.sql)- Whether the parser handles all DBML v3.9.5 features or only a subset.
- Performance characteristics when parsing large or complex schemas.
What it is and what it does
PyDBML is a Python parser and builder for DBML, a human-readable markup language for defining database schemas. It reads DBML files or strings and constructs an in-memory representation of the schema as a Database object, allowing you to access tables, references, enums, and table groups programmatically. You can then generate SQL DDL statements from the parsed schema or regenerate DBML from modified objects.
The package is compliant with DBML v3.9.5 syntax and depends only on pyparsing for parsing. It's useful when you need to work with DBML schemas in Python code—reading them for documentation, validation, or transformation, or building schemas programmatically and exporting them as SQL or DBML.
Use it for
- Parse a DBML schema file and generate SQL DDL to create database tables.
- Read DBML definitions and programmatically extract table and column metadata for documentation or tooling.
- Build a database schema in code and export it as DBML or SQL for version control and collaboration.
- Validate or transform DBML schemas by parsing, modifying, and regenerating them.
- Integrate DBML schema definitions into Python-based database migration or ORM tools.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PyDBML is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you need to parse or generate DBML schemas in Python—it's the standard tool for that task.
Install
pydbml on PyPI
Before you install
Low install friction with a single runtime dependency (pyparsing). Active maintenance with a recent release in October 2025 and commits through April 2026.
Requires Python 3.8 or higher.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.
Quickstart
from pydbml import PyDBML
from pathlib import Path
parsed = PyDBML(Path('schema.dbml'))
for table in parsed.tables:
print(table.name)
print(parsed.sql)Verify before relying
- Whether the parser handles all DBML v3.9.5 features or only a subset.
- Performance characteristics when parsing large or complex schemas.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepyparsing |
| Maintenance | Actively maintained 294 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 94,653 / month, #13,319 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonTopic :: DocumentationTopic :: Text Processing :: MarkupTopic :: Utilities |
Evidence: pydbml-1.2.1-py3-none-any.whl
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