collate-dbt-artifacts-parser
A dbt artifacts parser in python
Decision gist · record as of 2026-08-14
Yes, if you work with dbt and need to programmatically access artifact metadata in Python. The install is frictionless and the license is permissive. However, verify that version 0.1.4 matches your dbt and pydantic versions—the package documentation warns that pydantic v1 is not supported for dbt 1.9 or later. The aging maintenance status (no updates in 263 days) means you should test compatibility with your dbt version before relying on it in production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires pydantic; documentation warns that pydantic v1 is not supported for dbt 1.9 or later
- Low friction install with a single pydantic dependency.
- The package is in beta status and has not been updated in 263 days, so expect slower response to issues or feature requests.
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 permits commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications you make to the code.
last release 2025-11-24 (263 days) · last repo commit 2025-11-24 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 235,557 downloads/mo, #8,998 on PyPI
Alternatives
Verify before relying
pip install collate-dbt-artifacts-parser
import json
from collate_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 version 0.1.4 supports dbt 1.9 or requires migration to pydantic v2 as documented
- Actual test coverage and stability of the parser across all supported manifest versions (V1–V12)
What it is and what it does
This package provides Python classes to deserialize dbt artifact JSON files—catalog.json, manifest.json, run-results.json, and sources.json—into typed pydantic objects. It is designed for dbt-core and supports multiple versions of each artifact format, allowing you to programmatically inspect dbt metadata, lineage, and execution results without manual JSON parsing. The package depends only on pydantic and supports Python 3.8 and later.
The parser is organized by artifact type and version, with classes like ManifestV1 through ManifestV12, RunResultsV1 through RunResultsV6, and corresponding catalog and sources parsers. You load a JSON file, pass it to a parser function, and receive a typed object you can query and manipulate in Python code. The package is in beta and has not been updated in several months, so it may lag behind the latest dbt releases.
Use it for
- Programmatically extract model lineage and dependencies from manifest.json for documentation or impact analysis
- Parse run-results.json to programmatically check test outcomes and model execution status after a dbt run
- Load catalog.json to query column-level metadata and table properties in a Python application
- Build custom dbt metadata dashboards or reporting tools by accessing structured artifact data
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with dbt and need to programmatically access artifact metadata in Python.
The install is frictionless and the license is permissive. However, verify that version 0.1.4 matches your dbt and pydantic versions—the package documentation warns that pydantic v1 is not supported for dbt 1.9 or later. The aging maintenance status (no updates in 263 days) means you should test compatibility with your dbt version before relying on it in production.
Install
collate-dbt-artifacts-parser on PyPI
Before you install
Low friction install with a single pydantic dependency. The package is in beta status and has not been updated in 263 days, so expect slower response to issues or feature requests.
Requires pydantic; documentation warns that pydantic v1 is not supported for dbt 1.9 or later
License in practice
Apache License 2.0 permits commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications you make to the code.
Quickstart
pip install collate-dbt-artifacts-parser
import json
from collate_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 version 0.1.4 supports dbt 1.9 or requires migration to pydantic v2 as documented
- Actual test coverage and stability of the parser across all supported manifest versions (V1–V12)
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepydantic |
| Maintenance | Aging 263 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 235,557 / month, #8,998 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 :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: collate_dbt_artifacts_parser-0.1.4-py3-none-any.whl
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See also dbt-artifacts-parser · dbt-bouncer · cube_dbt · dbt-coverage · dbt-metabase · dbt-loom · openlineage-dbt · dbt-exasol · dbt-colibri · dbt-extractor