diff --git a/openbb_sdk/openbb/__init__.py b/openbb_sdk/openbb/__init__.py
index b53202aa0d4..2c4d7d901bc 100644
--- a/openbb_sdk/openbb/__init__.py
+++ b/openbb_sdk/openbb/__init__.py
@@ -1,4 +1,4 @@
 # flake8: noqa
-from openbb_sdk.openbb_sdk_core.openbb_sdk_core.app.static.command_runner_wrapper import app
-
-account = app.account
+from openbb_sdk.openbb_sdk_core.openbb_sdk_core.app.static.command_runner_wrapper import (
+    app,
+)
diff --git a/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/static/package_builder.py b/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/static/package_builder.py
index c29a3baa754..d824cf01383 100644
--- a/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/static/package_builder.py
+++ b/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/static/package_builder.py
@@ -148,7 +148,7 @@ class ImportDefinition:
         code += "\nimport pydantic"
         code += "\nfrom typing import List, Dict, Union, Optional, Literal"
         code += "\nimport warnings"
-        code += "\nfrom builtin_extensions.common.utils import from_dataframe"
+        code += "\nfrom openbb_sdk_core.app.utils import to_dataframe"
         code += "\nfrom openbb_sdk_core.app.model.abstract.warning import OpenBBWarning"
 
         module_list = [hint_type.__module__ for hint_type in hint_type_list]
diff --git a/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/utils.py b/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/utils.py
new file mode 100644
index 00000000000..a2ab3a9ec23
--- /dev/null
+++ b/openbb_sdk/openbb_sdk_core/openbb_sdk_core/app/utils.py
@@ -0,0 +1,40 @@
+from typing import List, Optional, Union
+
+import pandas as pd
+from pydantic import BaseModel
+
+
+def to_dataframe(data: List[BaseModel], index: Optional[str] = None) -> pd.DataFrame:
+    """Convert to a Pandas DataFrame."""
+    df = pd.DataFrame([d.dict() for d in data])
+    if index and index in df.columns:
+        df = df.set_index(index)
+    return df
+
+
+def from_dataframe(
+    df: Union[pd.DataFrame, pd.Series], index: bool = False
+) -> List[BaseModel]:
+    """Convert from a Pandas DataFrame."""
+    if index:
+        df = df.reset_index()
+    if isinstance(df, pd.Series):
+        df = df.to_frame()
+    return [BaseModel(**d) for d in df.to_dict(orient="records")]
+
+
+def get_target_column(df: pd.DataFrame, target: str) -> pd.Series:
+    """Get target column from time series data."""
+    if target not in df.columns:
+        choices = ", ".join(df.columns)
+        raise ValueError(
+            f"Target column '{target}' not found in data. Choose from {choices}"
+        )
+    return df[target]
+
+
+def get_target_columns(df: pd.DataFrame, target_columns: List[str]) -> pd.DataFrame:
+    df_result = pd.DataFrame()
+    for target in target_columns:
+        df_result[target] = get_target_column(df, target).to_frame()
+    return df_result