diff --git a/CHANGELOG.md b/CHANGELOG.md
index 659b774af..86a6913b4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -62,6 +62,7 @@ release.
 - Added Nadir option to isd_generate, used to generate nadir instrument pointing [#564](https://github.com/DOI-USGS/ale/pull/564)
 - Added radial and tangential distortion model [#575](https://github.com/DOI-USGS/ale/pull/575)
 - Updated the spiceypy version used in environment.yml [#552](https://github.com/DOI-USGS/ale/issues/552)
+- added driver verification script that helps in comparing ALE and ISIS driver spice data usage and outputs [#584](https://github.com/DOI-USGS/ale/pull/584)
 
 ### Fixed
 - Fixed LRO MiniRF drivers naif keywords focal to pixel and pixel to focal translations to be correct. [#569](https://github.com/DOI-USGS/ale/pull/569)
diff --git a/ale/driver_verification.py b/ale/driver_verification.py
new file mode 100644
index 000000000..57eaeb0e0
--- /dev/null
+++ b/ale/driver_verification.py
@@ -0,0 +1,215 @@
+#!/usr/bin/env python
+import ale
+from ale import drivers
+from ale.base.base import Driver
+from ale.base.data_isis import IsisSpice
+from ale.base.label_isis import IsisLabel
+
+from networkx.algorithms.shortest_paths.generic import shortest_path
+from importlib import reload
+import argparse
+import importlib
+import pvl
+import pkgutil
+import os
+ale_root = os.environ.get('ALEROOT')
+import shutil
+import subprocess
+import difflib
+from pathlib import Path
+import numpy as np
+
+class ReadIsis(IsisSpice, IsisLabel, Driver):
+    def sensor_model_version(self):
+        return 0
+
+# Define the function to run spiceinit with ISIS
+def run_spiceinit_isis(image_path):
+    if ale_root is None:
+        raise EnvironmentError("The environment variable 'ALEROOT' is not set.")
+    # Move ALE drivers to a temporary subfolder
+    ale_drivers_path = Path(ale_root) / 'ale' / 'drivers'
+    temp_folder = ale_drivers_path.parent / 'temp_drivers'
+    temp_folder.mkdir(exist_ok=True)
+    for driver in ale_drivers_path.glob('*'): # this globs wrong
+        shutil.move(str(driver), str(temp_folder))
+    
+    # Run spiceinit with ISIS
+    try:
+        subprocess.run(['spiceinit', f'from={image_path}']) # I believe this is where the crashes are coming from
+    except:
+        pass
+    
+    # Move the drivers back
+    for driver in temp_folder.glob('*'):
+        shutil.move(str(driver), str(ale_drivers_path))
+    temp_folder.rmdir()
+
+# Define the function to run spiceinit with ALE
+def run_spiceinit_ale(image_path):
+    # Run spiceinit with ALE
+    subprocess.run(['spiceinit', f'from={image_path}'])
+
+def generate_body_rotation(driver, target_frame_id):
+    frame_chain = driver.frame_chain
+    target_frame = target_frame_id
+
+    J2000 = 1 # J2000 frame id
+    body_rotation = {}
+    source_frame, destination_frame, time_dependent_target_frame = frame_chain.last_time_dependent_frame_between(target_frame, J2000)
+    
+    if source_frame != J2000:
+        # Reverse the frame order because ISIS orders frames as
+        # (destination, intermediate, ..., intermediate, source)
+        body_rotation['time_dependent_frames'] = shortest_path(frame_chain, source_frame, J2000)
+        time_dependent_rotation = frame_chain.compute_rotation(J2000, source_frame)
+        body_rotation['ck_table_start_time'] = time_dependent_rotation.times[0]
+        body_rotation['ck_table_end_time'] = time_dependent_rotation.times[-1]
+        body_rotation['ck_table_original_size'] = len(time_dependent_rotation.times)
+        body_rotation['ephemeris_times'] = time_dependent_rotation.times
+        body_rotation['quaternions'] = time_dependent_rotation.quats[:, [3, 0, 1, 2]]
+        body_rotation['angular_velocities'] = time_dependent_rotation.av
+
+    if source_frame != target_frame:
+        # Reverse the frame order because ISIS orders frames as
+        # (destination, intermediate, ..., intermediate, source)
+        body_rotation['constant_frames'] = shortest_path(frame_chain, target_frame, source_frame)
+        constant_rotation = frame_chain.compute_rotation(source_frame, target_frame)
+        body_rotation['constant_rotation'] = constant_rotation.rotation_matrix().flatten()
+
+    body_rotation["reference_frame"] = destination_frame
+    return body_rotation
+
+def generate_instrument_rotation(driver, sensor_frame_id):
+    # sensor orientation
+    frame_chain = driver.frame_chain
+    sensor_frame = sensor_frame_id
+
+    J2000 = 1 # J2000 frame id
+    instrument_pointing = {}
+    source_frame, destination_frame, _ = frame_chain.last_time_dependent_frame_between(J2000, sensor_frame)
+
+    # Reverse the frame order because ISIS orders frames as
+    # (destination, intermediate, ..., intermediate, source)
+    instrument_pointing['time_dependent_frames'] = shortest_path(frame_chain, destination_frame, J2000)
+    time_dependent_rotation = frame_chain.compute_rotation(J2000, destination_frame)
+    instrument_pointing['ck_table_start_time'] = time_dependent_rotation.times[0]
+    instrument_pointing['ck_table_end_time'] = time_dependent_rotation.times[-1]
+    instrument_pointing['ck_table_original_size'] = len(time_dependent_rotation.times)
+    instrument_pointing['ephemeris_times'] = time_dependent_rotation.times
+    instrument_pointing['quaternions'] = time_dependent_rotation.quats[:, [3, 0, 1, 2]]
+    instrument_pointing['angular_velocities'] = time_dependent_rotation.av
+
+    # reference frame should be the last frame in the chain
+    instrument_pointing["reference_frame"] = instrument_pointing['time_dependent_frames'][-1]
+
+    # Reverse the frame order because ISIS orders frames as
+    # (destination, intermediate, ..., intermediate, source)
+    instrument_pointing['constant_frames'] = shortest_path(frame_chain, sensor_frame, destination_frame)
+    constant_rotation = frame_chain.compute_rotation(destination_frame, sensor_frame)
+    instrument_pointing['constant_rotation'] = constant_rotation.rotation_matrix().flatten()
+    
+    return instrument_pointing
+
+def generate_instrument_position(driver):
+    instrument_position = {}
+    positions, velocities, times = driver.sensor_position
+    instrument_position['spk_table_start_time'] = times[0]
+    instrument_position['spk_table_end_time'] = times[-1]
+    instrument_position['spk_table_original_size'] = len(times)
+    instrument_position['ephemeris_times'] = times
+    # Rotate positions and velocities into J2000 then scale into kilometers
+    # velocities = j2000_rotation.rotate_velocity_at(positions, velocities, times)/1000
+    # positions = j2000_rotation.apply_at(positions, times)/1000
+    instrument_position['positions'] = positions
+    instrument_position['velocities'] = velocities
+    return instrument_position
+
+def generate_sun_position(driver):
+    sun_position = {}
+    positions, velocities, times = driver.sun_position
+    sun_position['spk_table_start_time'] = times[0]
+    sun_position['spk_table_end_time'] = times[-1]
+    sun_position['spk_table_original_size'] = len(times)
+    sun_position['ephemeris_times'] = times
+    # Rotate positions and velocities into J2000 then scale into kilometers
+    # velocities = j2000_rotation.rotate_velocity_at(positions, velocities, times)/1000
+    # positions = j2000_rotation.apply_at(positions, times)/1000
+    sun_position['positions'] = positions
+    sun_position['velocities'] = velocities
+    # sun_position["reference_frame"] = j2000_rotation.dest
+    return sun_position
+
+def create_json_dump(driver, sensor_frame_id, target_frame_id):
+    json_dump = {}
+    json_dump["instrument_rotation"] = generate_instrument_rotation(driver, sensor_frame_id)
+    json_dump["body_rotation"] = generate_body_rotation(driver, target_frame_id)
+    json_dump["instrument_position"] = generate_instrument_position(driver)
+    json_dump["sun_position"] = generate_sun_position(driver)
+    return json_dump
+
+def diff_and_describe(json1, json2, key_array):
+    for key in key_array:
+        json1 = json1[key]
+        json2 = json2[key]
+    diff = json1 - json2
+    print(" ".join(key_array) + "\nNum records:", len(diff), "\nMean:", np.mean(diff, axis=(0)), "\nMedian:", np.median(diff, axis=(0)), "\n")
+
+# Define the function to compare ISDs
+def compare_isds(json1, json2):
+    diff_and_describe(json1, json2, ["instrument_position", "positions"])
+    diff_and_describe(json1, json2, ["instrument_position", "velocities"])
+    diff_and_describe(json1, json2, ["sun_position", "positions"])
+    diff_and_describe(json1, json2, ["sun_position", "velocities"])
+    diff_and_describe(json1, json2, ["instrument_rotation", "quaternions"])
+    diff_and_describe(json1, json2, ["instrument_rotation", "angular_velocities"])
+    diff_and_describe(json1, json2, ["body_rotation", "quaternions"])
+    diff_and_describe(json1, json2, ["body_rotation", "angular_velocities"])
+
+# Define the main function
+def main(image):
+    
+    # Duplicate the image for ALE and ISIS processing
+    image_ale_path = Path(f"{image}_ALE.cub")
+    image_isis_path = Path(f"{image}_ISIS.cub")
+    shutil.copy(image, image_ale_path)
+    shutil.copy(image, image_isis_path)
+
+    # Run spiceinit with ISIS
+    run_spiceinit_isis(image_isis_path)
+
+    # try ale.loads
+    isis_kerns = ale.util.generate_kernels_from_cube(image_isis_path, expand=True)
+    # this can be uncommented and used when the PVL loads fix PR goes in (#587)
+    isis_label = pvl.load(image_isis_path)
+    try:
+        ale.loads(isis_label, props={"kernels": isis_kerns}, only_naif_spice=True)
+    except:
+        print("No driver for such Label")
+        exit
+    
+    # Run spiceinit with ALE
+    run_spiceinit_ale(image_ale_path)
+
+    # try ale.loads
+    ale_kerns = ale.util.generate_kernels_from_cube(image_ale_path, expand=True)
+    ale.loads(image_ale_path, props={"kernels": ale_kerns}, only_naif_spice=True)
+    
+    # Generate ISD for both ALE and ISIS
+    read_ale_driver = ReadIsis(image_ale_path)
+    ale_json_dump = create_json_dump(read_ale_driver, read_ale_driver.sensor_frame_id, read_ale_driver.target_frame_id)
+    read_isis_driver = ReadIsis(image_isis_path)
+    isis_json_dump = create_json_dump(read_isis_driver, read_isis_driver.sensor_frame_id, read_isis_driver.target_frame_id)
+        
+    # Compare the ISDs
+    compare_isds(ale_json_dump, isis_json_dump)
+
+# Set up argparse to handle command line arguments
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Script to compare ALE driver and ISIS3 driver against an image.")
+    parser.add_argument('image', type=str, help='Image to process.')
+    args = parser.parse_args()
+
+    # Call the main function
+    main(args.image)
+