diff --git a/pyproject.toml b/pyproject.toml
index 9c9b671c..a2450297 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,11 +55,13 @@ tests = [
   "dvclive[image,plots,markdown]",
   "ipython",
   "pytest_voluptuous",
-  "dpath"
+  "dpath",
+  "transformers[torch]",
+  "tf-keras"
 ]
 dev = [
   "dvclive[all,tests]",
-  "mypy==1.10.0",
+  "mypy==1.10.1",
   "types-PyYAML"
 ]
 mmcv = ["mmcv"]
@@ -67,12 +69,11 @@ tf = ["tensorflow"]
 xgb = ["xgboost"]
 lgbm = ["lightgbm"]
 huggingface = ["transformers", "datasets"]
-catalyst = ["catalyst>22"]
 fastai = ["fastai"]
 lightning = ["lightning>=2.0", "torch", "jsonargparse[signatures]>=4.26.1"]
 optuna = ["optuna"]
 all = [
-  "dvclive[image,mmcv,tf,xgb,lgbm,huggingface,catalyst,fastai,lightning,optuna,plots,markdown]"
+  "dvclive[image,mmcv,tf,xgb,lgbm,huggingface,fastai,lightning,optuna,plots,markdown]"
 ]
 
 [project.urls]
diff --git a/src/dvclive/catalyst.py b/src/dvclive/catalyst.py
deleted file mode 100644
index 532d31b3..00000000
--- a/src/dvclive/catalyst.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# ruff: noqa: ARG002
-from typing import Optional
-
-from catalyst.core.callback import Callback, CallbackOrder
-
-from dvclive import Live
-
-
-class DVCLiveCallback(Callback):
-    def __init__(self, live: Optional[Live] = None, **kwargs):
-        super().__init__(order=CallbackOrder.external)
-        self.live = live if live is not None else Live(**kwargs)
-
-    def on_epoch_end(self, runner) -> None:
-        for loader_key, per_loader_metrics in runner.epoch_metrics.items():
-            for key, value in per_loader_metrics.items():
-                self.live.log_metric(
-                    f"{loader_key}/{key.replace('/', '_')}", float(value)
-                )
-        self.live.next_step()
-
-    def on_experiment_end(self, runner):
-        self.live.end()
diff --git a/src/dvclive/plots/utils.py b/src/dvclive/plots/utils.py
index 80675dc9..ed9db22c 100644
--- a/src/dvclive/plots/utils.py
+++ b/src/dvclive/plots/utils.py
@@ -1,7 +1,6 @@
 import json
 
 NUMPY_INTS = [
-    "int_",
     "intc",
     "intp",
     "int8",
@@ -13,7 +12,7 @@
     "uint32",
     "uint64",
 ]
-NUMPY_FLOATS = ["float_", "float16", "float32", "float64"]
+NUMPY_FLOATS = ["float16", "float32", "float64"]
 NUMPY_SCALARS = NUMPY_INTS + NUMPY_FLOATS
 
 
diff --git a/tests/frameworks/test_catalyst.py b/tests/frameworks/test_catalyst.py
deleted file mode 100644
index bb195986..00000000
--- a/tests/frameworks/test_catalyst.py
+++ /dev/null
@@ -1,92 +0,0 @@
-# ruff: noqa: N806
-import os
-
-import pytest
-
-from dvclive import Live
-from dvclive.plots import Metric
-
-try:
-    import catalyst
-    import torch
-    from catalyst import dl
-
-    from dvclive.catalyst import DVCLiveCallback
-except ImportError:
-    pytest.skip("skipping catalyst tests", allow_module_level=True)
-
-
-@pytest.fixture()
-def runner():
-    return dl.SupervisedRunner(
-        engine=catalyst.utils.torch.get_available_engine(cpu=True),
-        input_key="features",
-        output_key="logits",
-        target_key="targets",
-        loss_key="loss",
-    )
-
-
-# see:
-# https://github.com/catalyst-team/catalyst/blob/e99f9/tests/catalyst/callbacks/test_batch_overfit.py
-@pytest.fixture()
-def runner_params():
-    from torch.utils.data import DataLoader, TensorDataset
-
-    catalyst.utils.set_global_seed(42)
-    num_samples, num_features = int(32e1), int(1e1)
-    X, y = torch.rand(num_samples, num_features), torch.rand(num_samples)
-    dataset = TensorDataset(X, y)
-    loader = DataLoader(dataset, batch_size=32, num_workers=0)
-    loaders = {"train": loader, "valid": loader}
-
-    model = torch.nn.Linear(num_features, 1)
-    criterion = torch.nn.MSELoss()
-    optimizer = torch.optim.Adam(model.parameters())
-    scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, [3, 6])
-    return {
-        "model": model,
-        "criterion": criterion,
-        "optimizer": optimizer,
-        "scheduler": scheduler,
-        "loaders": loaders,
-    }
-
-
-def test_catalyst_callback(tmp_dir, runner, runner_params, mocker):
-    callback = DVCLiveCallback()
-    live = callback.live
-    spy = mocker.spy(live, "end")
-
-    runner.train(
-        **runner_params,
-        num_epochs=2,
-        callbacks=[
-            dl.AccuracyCallback(input_key="logits", target_key="targets"),
-            callback,
-        ],
-        logdir="./logs",
-        valid_loader="valid",
-        valid_metric="loss",
-        minimize_valid_metric=True,
-        verbose=True,
-        load_best_on_end=True,
-    )
-    spy.assert_called_once()
-
-    assert os.path.exists("dvclive")
-
-    train_path = tmp_dir / "dvclive" / "plots" / Metric.subfolder / "train"
-    valid_path = tmp_dir / "dvclive" / "plots" / Metric.subfolder / "valid"
-
-    assert train_path.is_dir()
-    assert valid_path.is_dir()
-    assert any("accuracy" in x.name for x in train_path.iterdir())
-    assert any("accuracy" in x.name for x in valid_path.iterdir())
-
-
-def test_catalyst_pass_logger():
-    logger = Live("train_logs")
-
-    assert DVCLiveCallback().live is not logger
-    assert DVCLiveCallback(live=logger).live is logger
diff --git a/tests/frameworks/test_huggingface.py b/tests/frameworks/test_huggingface.py
index ac824588..18b39901 100644
--- a/tests/frameworks/test_huggingface.py
+++ b/tests/frameworks/test_huggingface.py
@@ -103,6 +103,7 @@ def args():
         num_train_epochs=2,
         save_strategy="epoch",
         report_to="none",  # Disable auto-reporting to avoid duplication
+        use_cpu=True,
     )
 
 
@@ -173,7 +174,7 @@ def test_huggingface_log_model(
     trainer.train()
 
     expected_call_count = {
-        "all": 2,
+        "all": 3,
         True: 1,
         False: 0,
         None: 0,