diff --git a/coltra/envs/__init__.py b/coltra/envs/__init__.py
index 21bd48f2..4398af3a 100644
--- a/coltra/envs/__init__.py
+++ b/coltra/envs/__init__.py
@@ -2,7 +2,6 @@
 from .base_env import MultiAgentEnv
 from .subproc_vec_env import SubprocVecEnv
 from .probe_envs import probe_env_classes
-from .gym_envs import MultiGymEnv, import_bullet
+from .gym_envs import MultiGymEnv
 from .base_env import Observation, Action
 from .smartnav_envs import SmartNavEnv
-from .pettingzoo_envs import PettingZooEnv
diff --git a/coltra/envs/gym_envs.py b/coltra/envs/gym_envs.py
index 499bad61..095896fa 100644
--- a/coltra/envs/gym_envs.py
+++ b/coltra/envs/gym_envs.py
@@ -10,11 +10,6 @@
 from coltra.envs.subproc_vec_env import VecEnv, SubprocVecEnv
 
 
-def import_bullet():
-    # noinspection PyUnresolvedReferences
-    import pybullet_envs
-
-
 class MultiGymEnv(MultiAgentEnv):
     """
     A wrapper for environments that can be `gym.make`'d
@@ -32,8 +27,6 @@ def __init__(
         super().__init__(seed)
         if wrappers is None:
             wrappers = []
-        if "Bullet" in env_name:
-            import_fn = import_bullet
 
         import_fn()
 
diff --git a/coltra/envs/pettingzoo_envs.py b/coltra/envs/pettingzoo_envs.py
deleted file mode 100644
index e37268ae..00000000
--- a/coltra/envs/pettingzoo_envs.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Callable, Any
-import numpy as np
-from gym.spaces import Discrete
-
-from pettingzoo.utils.env import ParallelEnv
-
-from coltra.buffers import Observation
-from coltra.envs import MultiAgentEnv, SubprocVecEnv
-from coltra.envs.base_env import VecEnv, ActionDict, StepReturn, ObsDict
-
-
-class PettingZooEnv(MultiAgentEnv):
-    def __init__(self, env_creator: Callable[..., ParallelEnv], **kwargs):
-        super().__init__()
-        self.pz_env = env_creator(**kwargs)
-        self.active_agents = self.pz_env.possible_agents
-
-        agent_name = self.pz_env.possible_agents[0]
-        self.action_space = self.pz_env.action_spaces[agent_name]
-        self.observation_space = self.pz_env.observation_spaces[agent_name]
-
-        self.is_discrete_action = isinstance(self.action_space, Discrete)
-
-    def _embed_observation(self, obs: np.ndarray) -> Observation:
-        shape = obs.shape
-        if len(shape) == 1:
-            return Observation(vector=obs)
-        elif len(shape) == 2:
-            return Observation(buffer=obs)
-        elif len(shape) == 3:
-            return Observation(image=obs)
-        else:
-            raise ValueError(f"Observation shape {obs.shape} not supported")
-
-    def reset(self, *args, **kwargs) -> ObsDict:
-        obs = self.pz_env.reset()
-        return {key: self._embed_observation(obs[key]) for key in obs}
-
-    def step(self, action_dict: ActionDict) -> StepReturn:
-        if self.is_discrete_action:
-            action = {
-                agent_id: action_dict[agent_id].discrete for agent_id in action_dict
-            }
-        else:
-            action = {
-                agent_id: action_dict[agent_id].continuous for agent_id in action_dict
-            }
-
-        obs, reward, done, info = self.pz_env.step(action)
-
-        if all(done.values()):
-            obs = self.pz_env.reset()
-
-        obs = {key: self._embed_observation(obs[key]) for key in obs}
-        return obs, reward, done, info
-
-    def render(self, mode="rgb_array"):
-        return self.pz_env.render(mode)
-
-    @classmethod
-    def get_venv(cls, workers: int = 8, **env_kwargs) -> SubprocVecEnv:
-
-        venv = SubprocVecEnv(
-            [cls.get_env_creator(**env_kwargs) for i in range(workers)]
-        )
-        return venv
diff --git a/requirements.txt b/requirements.txt
index 9fffea05..11795774 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -17,7 +17,6 @@ ipykernel>=5.4.3
 numba>=0.54.0
 pytest>=6.2.2
 coverage>=5.5.0
-pybullet>=3.1.9
 opencv-python~=3.4.15.55
 cloudpickle~=2.0.0
 pillow~=8.4.0
diff --git a/scripts/enjoy_gym.py b/scripts/enjoy_gym.py
index 426c8f4c..d24374ca 100644
--- a/scripts/enjoy_gym.py
+++ b/scripts/enjoy_gym.py
@@ -12,8 +12,6 @@
 from coltra.trainers import PPOCrowdTrainer
 from coltra.envs import MultiGymEnv
 
-import pybullet_envs
-
 
 class Parser(BaseParser):
     path: str
diff --git a/scripts/train_gym.py b/scripts/train_gym.py
index 6fdf03f3..bcf6ffc8 100644
--- a/scripts/train_gym.py
+++ b/scripts/train_gym.py
@@ -11,8 +11,6 @@
 from coltra.trainers import PPOCrowdTrainer
 from coltra.envs import MultiGymEnv
 
-import pybullet_envs
-
 from coltra.wrappers import ObsVecNormWrapper, LastRewardWrapper
 from coltra.wrappers.agent_wrappers import RetNormWrapper
 
diff --git a/tests/test_pybullet.py b/tests/test_pybullet.py
deleted file mode 100644
index 13941266..00000000
--- a/tests/test_pybullet.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from coltra.envs.gym_envs import MultiGymEnv, import_bullet
-
-
-def test_init():
-    env = MultiGymEnv.get_venv(
-        8, env_name="HopperBulletEnv-v0", seed=0, import_fn=import_bullet
-    )
-    obs = env.reset()
-
-    assert len(obs) == 8