Cattrs is currently only used in two places: Serialization for operator extra links, and for Lineage.

However cattrs is not a well maintained project and doesn't support many features that attrs itself does; in short, it's not worth the brain cycles to keep cattrs.
import pendulum
from dateutil import relativedelta
from pendulum.tz.timezone import FixedTimezone, Timezone
from airflow.compat.functools import cache
from airflow.configuration import conf
from airflow.datasets import Dataset
from airflow.exceptions import AirflowException, RemovedInAirflow3Warning, SerializationError
from airflow.jobs.job import Job
from airflow.models.baseoperator import BaseOperator
from airflow.models.connection import Connection
from airflow.models.dag import DAG, DagModel, create_timetable
from airflow.models.dagrun import DagRun
from airflow.models.expandinput import EXPAND_INPUT_EMPTY, create_expand_input, get_map_type_key
from airflow.models.mappedoperator import MappedOperator
from airflow.models.param import Param, ParamsDict
from airflow.models.taskinstance import SimpleTaskInstance, TaskInstance
from airflow.models.xcom_arg import XComArg, deserialize_xcom_arg, serialize_xcom_arg
from airflow.providers_manager import ProvidersManager
from airflow.serialization.enums import DagAttributeTypes as DAT, Encoding
from airflow.serialization.helpers import serialize_template_field
from airflow.serialization.json_schema import load_dag_schema
from airflow.serialization.pydantic.dag import DagModelPydantic
from airflow.serialization.pydantic.dag_run import DagRunPydantic
from airflow.serialization.pydantic.dataset import DatasetPydantic
from airflow.serialization.pydantic.job import JobPydantic
from airflow.serialization.pydantic.taskinstance import TaskInstancePydantic
from airflow.settings import _ENABLE_AIP_44, DAGS_FOLDER, json
from airflow.utils.code_utils import get_python_source
from airflow.utils.docs import get_docs_url
from airflow.utils.module_loading import import_string, qualname