dbt-artifacts-parser
A dbt artifacts parser in python
Decision gist · record as of 2026-08-14
Yes. Active maintenance, low install friction, no security vulnerabilities, and permissive licensing make it a safe choice. Install if you're building tooling around dbt artifacts and need type-safe access to their structure. Verify your dbt and pydantic versions match the compatibility table in the description before upgrading.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or newer.
- pydantic v2 is required for dbt 1.9 or later; pydantic v1 is not supported for dbt 1.9+.
- Low friction: pure Python wheel with a single runtime dependency (pydantic).
License · maintenance · safety
permissive license (permissive) — Apache 2.0 permissive license allows commercial and derivative use with attribution and liability disclaimers.
last release 2026-08-10 (4 days) · last repo commit 2026-08-13 · 114 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 344,769 downloads/mo, #7,371 on PyPI
Alternatives
Verify before relying
import json
from dbt_artifacts_parser.parser import parse_manifest
with open("path/to/manifest.json", "r") as fp:
manifest_dict = json.load(fp)
manifest_obj = parse_manifest(manifest=manifest_dict)- Whether fallback_to_latest mode handles all real-world dbt artifact variations gracefully
- Performance characteristics when parsing large manifest files
What it is and what it does
dbt-artifacts-parser converts dbt's JSON artifact outputs into strongly-typed Python objects, eliminating the need to manually traverse nested dictionaries. It wraps catalog.json, manifest.json, run-results.json, and sources.json into corresponding pydantic model classes, with version-specific parsers for each artifact type and schema iteration.
The package is built for dbt-core workflows where you need programmatic access to dbt metadata—lineage, model definitions, test results, or catalog information. It requires pydantic v2 for dbt 1.9 or later, and supports dbt versions from 0.19 through 1.12. A best-effort fallback mode allows parsing artifacts from newer dbt versions than the package officially supports, dropping forbidden fields while preserving custom config keys.
Use it for
- Extract model lineage and dependencies from manifest.json for impact analysis or DAG visualization
- Parse run-results.json to programmatically check test outcomes and model execution status
- Read catalog.json to inspect table schemas and column metadata for data governance tools
- Build dbt metadata APIs or dashboards that consume artifacts as structured objects
- Validate dbt project structure by parsing manifest versions across multiple dbt releases
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, low install friction, no security vulnerabilities, and permissive licensing make it a safe choice. Install if you're building tooling around dbt artifacts and need type-safe access to their structure. Verify your dbt and pydantic versions match the compatibility table in the description before upgrading.
Install
dbt-artifacts-parser on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (pydantic). Actively maintained with a release 4 days old and recent commits. Supports Python 3.10–3.13.
Requires Python 3.10 or newer. pydantic v2 is required for dbt 1.9 or later; pydantic v1 is not supported for dbt 1.9+.
License in practice
Apache 2.0 permissive license allows commercial and derivative use with attribution and liability disclaimers.
Quickstart
import json
from dbt_artifacts_parser.parser import parse_manifest
with open("path/to/manifest.json", "r") as fp:
manifest_dict = json.load(fp)
manifest_obj = parse_manifest(manifest=manifest_dict)Verify before relying
- Whether fallback_to_latest mode handles all real-world dbt artifact variations gracefully
- Performance characteristics when parsing large manifest files
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepydantic |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 344,769 / month, #7,371 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: dbt_artifacts_parser-0.15.0-py3-none-any.whl
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See also collate-dbt-artifacts-parser · dbt-bouncer · cube_dbt · dbt-metabase · dbt-extractor · dbt-exasol · dbt-coverage · dbt-colibri · dbt-clickhouse · openlineage-dbt