diff --git a/autoarray/__init__.py b/autoarray/__init__.py
index b4ff3c1be..5bf873a5c 100644
--- a/autoarray/__init__.py
+++ b/autoarray/__init__.py
@@ -1,4 +1,5 @@
-from autoarray import conf
+from autoconf import conf
+dir(conf)
 from autoarray import exc
 from autoarray import masked
 from autoarray import plotters as plot
diff --git a/autoarray/conf.py b/autoarray/conf.py
deleted file mode 100644
index ad96b76de..000000000
--- a/autoarray/conf.py
+++ /dev/null
@@ -1,154 +0,0 @@
-import configparser
-import os
-from copy import deepcopy
-
-
-def get_matplotlib_backend():
-    try:
-        return instance.visualize.get("figures", "backend", str)
-    except Exception:
-        return "TKAgg"
-
-
-def family(current_class):
-    yield current_class
-    for next_class in current_class.__bases__:
-        for val in family(next_class):
-            yield val
-
-
-class NamedConfig(object):
-    """Parses generic config"""
-
-    def __init__(self, config_path):
-        """
-        Parameters
-        ----------
-        config_path: String
-            The path to the config file
-        """
-        self.path = config_path
-        self.parser = configparser.ConfigParser()
-        self.parser.read(self.path)
-
-    def __deepcopy__(self, memo):
-        cls = self.__class__
-        result = cls.__new__(cls)
-        memo[id(self)] = result
-        for k, v in self.__dict__.items():
-            setattr(result, k, v if k == "parser" else deepcopy(v, memo))
-        return result
-
-    def __eq__(self, other):
-        return isinstance(other, NamedConfig) and self.path == other.path
-
-    def get(self, section_name, attribute_name, attribute_type=str):
-        """
-
-        Parameters
-        ----------
-        section_name
-        attribute_type: type
-            The type to which the value should be cast
-        attribute_name: String
-            The analysis_path of the attribute
-
-        Returns
-        -------
-        prior_array: []
-            An array describing a prior
-        """
-        try:
-            string_value = self.parser.get(section_name, attribute_name)
-        except configparser.NoSectionError:
-            raise configparser.NoSectionError(
-                "Could not find section {} in config at path {}".format(
-                    section_name, self.path
-                )
-            )
-        except configparser.NoOptionError as e:
-            raise configparser.NoOptionError(
-                "could not find option {} in section {} of config at path {}".format(
-                    attribute_name, section_name, self.path
-                ),
-                e.section,
-            )
-        if string_value == "None":
-            return None
-        if attribute_type is bool:
-            return string_value == "True"
-        return attribute_type(string_value)
-
-    def has(self, section_name, attribute_name):
-        """
-        Parameters
-        ----------
-        section_name
-        attribute_name: String
-            The analysis_path of the attribute
-
-        Returns
-        -------
-        has_prior: bool
-            True iff a prior exists for the module, class and attribute
-        """
-        return self.parser.has_option(section_name, attribute_name)
-
-
-class Config(object):
-    def __init__(self, config_path, output_path="output"):
-        self.config_path = config_path
-        self.non_linear = NamedConfig("{}/non_linear.ini".format(config_path))
-        self.label_format = NamedConfig("{}/label_format.ini".format(config_path))
-        self.general = NamedConfig("{}/general.ini".format(config_path))
-        self.visualize = NamedConfig("{}/visualize.ini".format(config_path))
-        self.output_path = output_path
-
-
-def is_config_in(folder):
-    return os.path.isdir("{}/config".format(folder))
-
-
-"""
-Search for default configuration and put output in the same folder as config.
-
-The search is performed in this order:
-1) autolens_workspace. This is assumed to be in the same directory as autolens in the Docker 
-   container
-2) current working directory. This is to allow for installation and use with pip where 
-   users would expect the configuration in their current directory to be used.
-3) relative. This is a backup for when no configuration is found. In this case it is 
-   still assumed a autolens_workspace directory exists in the same directory as autofit.
-"""
-
-autofit_directory = os.path.dirname(os.path.realpath(__file__))
-docker_workspace_directory = "/home/user/autolens_workspace"
-current_directory = os.getcwd()
-
-try:
-    workspace_path = os.environ["WORKSPACE"]
-    default = Config(
-        "{}/config".format(workspace_path), "{}/output/".format(workspace_path)
-    )
-except KeyError:
-    if is_config_in(docker_workspace_directory):
-        CONFIG_PATH = "{}/config".format(docker_workspace_directory)
-        default = Config(CONFIG_PATH, "{}/output/".format(docker_workspace_directory))
-    elif is_config_in(current_directory):
-        CONFIG_PATH = "{}/config".format(current_directory)
-        default = Config(CONFIG_PATH, "{}/output/".format(current_directory))
-    elif is_config_in("{}/../..".format(current_directory)):
-        CONFIG_PATH = "{}/../../config".format(current_directory)
-        default = Config(CONFIG_PATH, "{}/output/".format(current_directory))
-    elif is_config_in("{}/../autolens_workspace".format(current_directory)):
-        CONFIG_PATH = "{}/../autolens_workspace/config".format(current_directory)
-        default = Config(
-            CONFIG_PATH, "{}/../autolens_workspace/output/".format(current_directory)
-        )
-    else:
-        CONFIG_PATH = "{}/../autolens_workspace/config".format(autofit_directory)
-        default = Config(
-            CONFIG_PATH, "{}/../autolens_workspace/output/".format(autofit_directory)
-        )
-
-instance = default
diff --git a/requirements.txt b/requirements.txt
index 99356a0f3..40ec473b6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,4 +4,5 @@ scipy>=1.3.1
 decorator>=4.0.0
 astropy>=3.0.0
 scikit-image>=0.14.2
-scikit-learn>=0.21.3
\ No newline at end of file
+scikit-learn>=0.21.3
+autoconf>=0.1.1