diff --git a/envs/environment.yaml b/envs/environment.yaml
index 9325ac09..5ffe0d71 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -33,7 +33,6 @@ dependencies:
 - networkx
 - scipy
 - shapely>=2.0
-- progressbar2
 - pyomo
 - matplotlib<3.6
 - proj
diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index 5032cdf9..634cc59b 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -4,7 +4,8 @@
 # SPDX-License-Identifier: MIT
 
 from pathlib import Path
-
+import urllib
+from tqdm import tqdm
 import pandas as pd
 
 REGION_COLS = ["geometry", "name", "x", "y", "country"]
@@ -251,16 +252,14 @@ def aggregate_costs(n, flatten=False, opts=None, existing_only=False):
 
 
 def progress_retrieve(url, file):
-    import urllib
-
-    from progressbar import ProgressBar
-
-    pbar = ProgressBar(0, 100)
-
-    def dlProgress(count, blockSize, totalSize):
-        pbar.update(int(count * blockSize * 100 / totalSize))
-
-    urllib.request.urlretrieve(url, file, reporthook=dlProgress)
+    
+    with tqdm(unit='B', unit_scale=True, unit_divisor=1024, miniters=1, position=0, leave=True) as t:
+        def update_to(b=1, bsize=1, tsize=None):
+            if tsize is not None:
+                t.total = tsize
+            t.update(b * bsize - t.n)
+        
+        urllib.request.urlretrieve(url, file, reporthook=update_to)
 
 
 def get_aggregation_strategies(aggregation_strategies):