diff --git a/src/anomalib/cli/pipelines.py b/src/anomalib/cli/pipelines.py
index 8cfb04fd2e..ba6030491b 100644
--- a/src/anomalib/cli/pipelines.py
+++ b/src/anomalib/cli/pipelines.py
@@ -6,13 +6,13 @@
 import logging
 
 from jsonargparse import Namespace
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 
 from anomalib.cli.utils.help_formatter import get_short_docstring
 
 logger = logging.getLogger(__name__)
 
-if package_available("anomalib.pipelines"):
+if module_available("anomalib.pipelines"):
     from anomalib.pipelines import Benchmark
     from anomalib.pipelines.components.base import Pipeline
 
diff --git a/src/anomalib/cli/utils/openvino.py b/src/anomalib/cli/utils/openvino.py
index ee54bf09b2..50a894c304 100644
--- a/src/anomalib/cli/utils/openvino.py
+++ b/src/anomalib/cli/utils/openvino.py
@@ -6,12 +6,12 @@
 import logging
 
 from jsonargparse import ArgumentParser
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 
 logger = logging.getLogger(__name__)
 
 
-if package_available("openvino"):
+if module_available("openvino"):
     from openvino.tools.ovc.cli_parser import get_common_cli_parser
 else:
     get_common_cli_parser = None
diff --git a/src/anomalib/deploy/inferencers/openvino_inferencer.py b/src/anomalib/deploy/inferencers/openvino_inferencer.py
index 8dea77b92e..b85df0536c 100644
--- a/src/anomalib/deploy/inferencers/openvino_inferencer.py
+++ b/src/anomalib/deploy/inferencers/openvino_inferencer.py
@@ -9,7 +9,7 @@
 
 import cv2
 import numpy as np
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 from omegaconf import DictConfig
 from PIL import Image
 
@@ -94,7 +94,7 @@ def __init__(
         task: str | None = None,
         config: dict | None = None,
     ) -> None:
-        if not package_available("openvino"):
+        if not module_available("openvino"):
             msg = "OpenVINO is not installed. Please install OpenVINO to use OpenVINOInferencer."
             raise ImportError(msg)
 
diff --git a/src/anomalib/loggers/wandb.py b/src/anomalib/loggers/wandb.py
index 55e65e6d54..ff41a0949e 100644
--- a/src/anomalib/loggers/wandb.py
+++ b/src/anomalib/loggers/wandb.py
@@ -9,12 +9,12 @@
 from lightning.fabric.utilities.types import _PATH
 from lightning.pytorch.loggers.wandb import WandbLogger
 from lightning.pytorch.utilities import rank_zero_only
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 from matplotlib.figure import Figure
 
 from .base import ImageLoggerBase
 
-if package_available("wandb"):
+if module_available("wandb"):
     import wandb
 
 if TYPE_CHECKING:
diff --git a/src/anomalib/models/components/base/export_mixin.py b/src/anomalib/models/components/base/export_mixin.py
index d11b50ff99..327cb87e02 100644
--- a/src/anomalib/models/components/base/export_mixin.py
+++ b/src/anomalib/models/components/base/export_mixin.py
@@ -12,7 +12,7 @@
 
 import numpy as np
 import torch
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 from torch import nn
 from torchmetrics import Metric
 from torchvision.transforms.v2 import Transform
@@ -245,7 +245,7 @@ def to_openvino(
             ...     task="segmentation",
             ... )
         """
-        if not package_available("openvino"):
+        if not module_available("openvino"):
             logger.exception("Could not find OpenVINO. Please check OpenVINO installation.")
             raise ModuleNotFoundError
 
@@ -294,7 +294,7 @@ def _compress_ov_model(
         Returns:
             model (CompiledModel): Model in the OpenVINO format compressed with NNCF quantization.
         """
-        if not package_available("nncf"):
+        if not module_available("nncf"):
             logger.exception("Could not find NCCF. Please check NNCF installation.")
             raise ModuleNotFoundError
 
diff --git a/src/anomalib/models/image/vlm_ad/backends/chat_gpt.py b/src/anomalib/models/image/vlm_ad/backends/chat_gpt.py
index 741288354f..53648e688a 100644
--- a/src/anomalib/models/image/vlm_ad/backends/chat_gpt.py
+++ b/src/anomalib/models/image/vlm_ad/backends/chat_gpt.py
@@ -10,13 +10,13 @@
 from typing import TYPE_CHECKING
 
 from dotenv import load_dotenv
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 
 from anomalib.models.image.vlm_ad.utils import Prompt
 
 from .base import Backend
 
-if package_available("openai"):
+if module_available("openai"):
     from openai import OpenAI
 else:
     OpenAI = None
diff --git a/src/anomalib/models/image/vlm_ad/backends/huggingface.py b/src/anomalib/models/image/vlm_ad/backends/huggingface.py
index e25e9dccb3..e8d3c1e84b 100644
--- a/src/anomalib/models/image/vlm_ad/backends/huggingface.py
+++ b/src/anomalib/models/image/vlm_ad/backends/huggingface.py
@@ -7,7 +7,7 @@
 from pathlib import Path
 from typing import TYPE_CHECKING
 
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 from PIL import Image
 
 from anomalib.models.image.vlm_ad.utils import Prompt
@@ -18,7 +18,7 @@
     from transformers.modeling_utils import PreTrainedModel
     from transformers.processing_utils import ProcessorMixin
 
-if package_available("transformers"):
+if module_available("transformers"):
     import transformers
 else:
     transformers = None
diff --git a/src/anomalib/models/image/vlm_ad/backends/ollama.py b/src/anomalib/models/image/vlm_ad/backends/ollama.py
index db5a215bb3..ff680bee3b 100644
--- a/src/anomalib/models/image/vlm_ad/backends/ollama.py
+++ b/src/anomalib/models/image/vlm_ad/backends/ollama.py
@@ -12,13 +12,13 @@
 import logging
 from pathlib import Path
 
-from lightning_utilities.core.imports import package_available
+from lightning_utilities.core.imports import module_available
 
 from anomalib.models.image.vlm_ad.utils import Prompt
 
 from .base import Backend
 
-if package_available("ollama"):
+if module_available("ollama"):
     from ollama import chat
     from ollama._client import _encode_image
 else:
diff --git a/src/anomalib/pipelines/benchmark/job.py b/src/anomalib/pipelines/benchmark/job.py
index f56899ac5d..840bda2dd1 100644
--- a/src/anomalib/pipelines/benchmark/job.py
+++ b/src/anomalib/pipelines/benchmark/job.py
@@ -23,6 +23,41 @@
 
 logger = logging.getLogger(__name__)
 
+# Import external loggers
+AVAILABLE_LOGGERS: dict[str, Any] = {}
+
+try:
+    from anomalib.loggers import AnomalibCometLogger
+
+    AVAILABLE_LOGGERS["comet"] = AnomalibCometLogger
+except ImportError:
+    logger.debug("Comet logger not available. Install using `pip install comet-ml`")
+try:
+    from anomalib.loggers import AnomalibMLFlowLogger
+
+    AVAILABLE_LOGGERS["mlflow"] = AnomalibMLFlowLogger
+except ImportError:
+    logger.debug("MLflow logger not available. Install using `pip install mlflow`")
+try:
+    from anomalib.loggers import AnomalibTensorBoardLogger
+
+    AVAILABLE_LOGGERS["tensorboard"] = AnomalibTensorBoardLogger
+except ImportError:
+    logger.debug("TensorBoard logger not available. Install using `pip install tensorboard`")
+try:
+    from anomalib.loggers import AnomalibWandbLogger
+
+    AVAILABLE_LOGGERS["wandb"] = AnomalibWandbLogger
+except ImportError:
+    logger.debug("Weights & Biases logger not available. Install using `pip install wandb`")
+
+LOGGERS_AVAILABLE = len(AVAILABLE_LOGGERS) > 0
+
+if LOGGERS_AVAILABLE:
+    logger.info(f"Available loggers: {', '.join(AVAILABLE_LOGGERS.keys())}")
+else:
+    logger.warning("No external loggers available. Install required packages using `anomalib install -v`")
+
 
 class BenchmarkJob(Job):
     """Benchmarking job.
@@ -69,6 +104,7 @@ def run(
                 accelerator=self.accelerator,
                 devices=devices,
                 default_root_dir=temp_dir,
+                logger=self._initialize_loggers(self.flat_cfg or {}) if LOGGERS_AVAILABLE else [],
             )
             fit_start_time = time.time()
             engine.fit(self.model, self.datamodule)
@@ -89,8 +125,44 @@ def run(
             **test_results[0],
         }
         logger.info(f"Completed with result {output}")
+        # Logging metrics to External Loggers (excluding TensorBoard)
+        trainer = engine.trainer()
+        for logger_instance in trainer.loggers:
+            if any(
+                isinstance(logger_instance, AVAILABLE_LOGGERS.get(name, object))
+                for name in ["comet", "wandb", "mlflow"]
+            ):
+                logger_instance.log_metrics(test_results[0])
+                logger.debug(f"Successfully logged metrics to {logger_instance.__class__.__name__}")
         return output
 
+    @staticmethod
+    def _initialize_loggers(logger_configs: dict[str, dict[str, Any]]) -> list[Any]:
+        """Initialize configured external loggers.
+
+        Args:
+            logger_configs: Dictionary mapping logger names to their configurations.
+
+        Returns:
+            List of initialized loggers.
+        """
+        active_loggers = []
+        default_configs = {
+            "tensorboard": {"save_dir": "logs/benchmarks"},
+            "comet": {"project_name": "anomalib"},
+            "wandb": {"project": "anomalib"},
+            "mlflow": {"experiment_name": "anomalib"},
+        }
+
+        for logger_name, logger_class in AVAILABLE_LOGGERS.items():
+            # Use provided config or fall back to defaults
+            config = logger_configs.get(logger_name, default_configs.get(logger_name, {}))
+            logger_instance = logger_class(**config)
+            active_loggers.append(logger_instance)
+            logger.info(f"Successfully initialized {logger_name} logger")
+
+        return active_loggers
+
     @staticmethod
     def collect(results: list[dict[str, Any]]) -> pd.DataFrame:
         """Gather the results returned from run."""
diff --git a/src/anomalib/utils/exceptions/imports.py b/src/anomalib/utils/exceptions/imports.py
index dac22ba056..6ef8dbd89d 100644
--- a/src/anomalib/utils/exceptions/imports.py
+++ b/src/anomalib/utils/exceptions/imports.py
@@ -22,7 +22,7 @@ def try_import(import_path: str) -> bool:
 
     warnings.warn(
         "The 'try_import' function is deprecated and will be removed in v2.0.0. "
-        "Use 'package_available' from lightning-utilities instead.",
+        "Use 'module_available' from lightning-utilities instead.",
         DeprecationWarning,
         stacklevel=2,
     )