diff --git a/.github/workflows/ci-tests.yaml b/.github/workflows/ci-tests.yaml
index 011e196b7..3b1338b21 100644
--- a/.github/workflows/ci-tests.yaml
+++ b/.github/workflows/ci-tests.yaml
@@ -99,6 +99,7 @@ jobs:
       - name: Run tests against r
         run: |
           pixi run tests-against-r
+          pixi run tests-fixest-minimal
 
       - name: Upload coverage to Codecov (partial)
         uses: codecov/codecov-action@v4
diff --git a/README.md b/README.md
index 5b6cd53a5..a6784508e 100644
--- a/README.md
+++ b/README.md
@@ -56,8 +56,13 @@ You can install the release version from `PyPI` by running
 # inside an active virtual environment
 python -m pip install pyfixest
 ```
+To install a version with only core functionality and a reduced dependency set, you can run
 
-or the development version from github by running
+```py
+python -m pip install pyfixest[minimal]
+```
+
+You can install the development version from github by running
 
 ```py
 python -m pip install git+https://github.com/py-econometrics/pyfixest
diff --git a/pixi.lock b/pixi.lock
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+  - clang_osx-64 >=18
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+  - curl
+  - fontconfig >=2.15.0,<3.0a0
+  - fonts-conda-ecosystem
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+  - pango >=1.54.0,<2.0a0
+  - pcre2 >=10.44,<10.45.0a0
+  - readline >=8.2,<9.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tktable
+  - tzdata >=2024a
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+  license_family: GPL
   purls: []
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+  - liblapack >=3.9.0,<4.0a0
+  - m2w64-bwidget
+  - m2w64-bzip2
+  - m2w64-fftw
   - m2w64-gcc-libs
   - m2w64-gcc-libs-core
-  - r-base >=4.1,<4.2.0a0
-  - r-lattice >=0.20_27
+  - m2w64-gmp
+  - m2w64-gsl
+  - m2w64-libiconv
+  - m2w64-libjpeg-turbo
+  - m2w64-libpng
+  - m2w64-libsndfile
+  - m2w64-libtiff
+  - m2w64-libxml2
+  - m2w64-mpfr
+  - m2w64-pcre2
+  - m2w64-tk
+  - m2w64-tktable
+  - m2w64-xz
+  - m2w64-zlib
   license: GPL-2.0-or-later
-  license_family: GPL3
+  license_family: GPL
   purls: []
-  size: 1007565
-  timestamp: 1686759198483
+  size: 56103327
+  timestamp: 1734517537925
 - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
   sha256: 5435cf39d039387fbdc977b0a762357ea909a7694d9528ab40f005e9208744d7
   md5: 47d31b792659ce70f470b5c82fdfb7a4
@@ -12408,10 +10381,10 @@ packages:
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   - conda-lock==2.5.6 ; extra == 'maintenance'
   requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/04/ee/e3e535c81828618878a7433992fecc92fa4df79393f31a8fea1d05615091/scipy-1.15.1-cp312-cp312-macosx_12_0_arm64.whl
+- pypi: https://files.pythonhosted.org/packages/37/20/3d04eb066b471b6e171827548b9ddb3c21c6bbea72a4d84fc5989933910b/scipy-1.15.2-cp312-cp312-macosx_12_0_arm64.whl
   name: scipy
-  version: 1.15.1
-  sha256: 0ac102ce99934b162914b1e4a6b94ca7da0f4058b6d6fd65b0cef330c0f3346f
+  version: 1.15.2
+  sha256: 869269b767d5ee7ea6991ed7e22b3ca1f22de73ab9a49c44bad338b725603301
   requires_dist:
   - numpy>=1.23.5,<2.5
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@@ -12451,10 +10424,10 @@ packages:
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+- pypi: https://files.pythonhosted.org/packages/4b/5d/3c78815cbab499610f26b5bae6aed33e227225a9fa5290008a733a64f6fc/scipy-1.15.2-cp312-cp312-macosx_10_13_x86_64.whl
   name: scipy
-  version: 1.15.1
-  sha256: 0fb57b30f0017d4afa5fe5f5b150b8f807618819287c21cbe51130de7ccdaed2
+  version: 1.15.2
+  sha256: c4697a10da8f8765bb7c83e24a470da5797e37041edfd77fd95ba3811a47c4fd
   requires_dist:
   - numpy>=1.23.5,<2.5
   - pytest ; extra == 'test'
@@ -12494,10 +10467,10 @@ packages:
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   requires_python: '>=3.10'
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+- pypi: https://files.pythonhosted.org/packages/c0/53/eaada1a414c026673eb983f8b4a55fe5eb172725d33d62c1b21f63ff6ca4/scipy-1.15.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
   name: scipy
-  version: 1.15.1
-  sha256: c09aa9d90f3500ea4c9b393ee96f96b0ccb27f2f350d09a47f533293c78ea776
+  version: 1.15.2
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   requires_dist:
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@@ -12537,10 +10510,10 @@ packages:
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   - pydevtool ; extra == 'dev'
   requires_python: '>=3.10'
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+- pypi: https://files.pythonhosted.org/packages/f5/6f/e6e5aff77ea2a48dd96808bb51d7450875af154ee7cbe72188afb0b37929/scipy-1.15.2-cp312-cp312-win_amd64.whl
   name: scipy
-  version: 1.15.1
-  sha256: 900f3fa3db87257510f011c292a5779eb627043dd89731b9c461cd16ef76ab3d
+  version: 1.15.2
+  sha256: e7c68b6a43259ba0aab737237876e5c2c549a031ddb7abc28c7b47f22e202ded
   requires_dist:
   - numpy>=1.23.5,<2.5
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diff --git a/pyfixest/estimation/decomposition.py b/pyfixest/estimation/decomposition.py
index 3c1bc14a4..d0c7ae354 100644
--- a/pyfixest/estimation/decomposition.py
+++ b/pyfixest/estimation/decomposition.py
@@ -1,13 +1,34 @@
+import warnings
 from dataclasses import dataclass, field
 from typing import Any, Optional
 
 import numpy as np
 import pandas as pd
-from joblib import Parallel, delayed
 from numpy.typing import NDArray
 from scipy.sparse import hstack, spmatrix, vstack
 from scipy.sparse.linalg import lsqr
-from tqdm import tqdm
+
+try:
+    from tqdm import tqdm
+except ImportError:
+    warnings.warn(
+        "The tqdm package is not installed. Progress bars are disabled. Note that tqdm is included in the pyfixest default environment."
+    )
+
+    def tqdm(iterable, *args, **kwargs):
+        "Define a dummy tqdm function."
+        return iterable
+
+
+try:
+    from joblib import Parallel, delayed
+
+    joblib_available = True
+except ImportError:
+    joblib_available = False
+    warnings.warn(
+        "The joblib package is not installed. Parallel processing is disabled. Note that joblib is included in the pyfixest default environment."
+    )
 
 
 @dataclass
@@ -159,9 +180,12 @@ def bootstrap(self, rng: np.random.Generator, B: int = 1_000, alpha: float = 0.0
         if self.unique_clusters is not None:
             self.X_dict = {g: self.X_dict[g].tocsr() for g in self.X_dict}
 
-        _bootstrapped = Parallel(n_jobs=self.nthreads)(
-            delayed(self._bootstrap)(rng=rng) for _ in tqdm(range(B))
-        )
+        if joblib_available:
+            _bootstrapped = Parallel(n_jobs=self.nthreads)(
+                delayed(self._bootstrap)(rng=rng) for _ in tqdm(range(B))
+            )
+        else:
+            _bootstrapped = [self._bootstrap(rng=rng) for _ in tqdm(range(B))]
 
         self._bootstrapped = {
             key: np.concatenate([d[key] for d in _bootstrapped])
diff --git a/pyfixest/estimation/feols_compressed_.py b/pyfixest/estimation/feols_compressed_.py
index be453386d..fc5f2b5f0 100644
--- a/pyfixest/estimation/feols_compressed_.py
+++ b/pyfixest/estimation/feols_compressed_.py
@@ -1,4 +1,5 @@
 import logging
+import warnings
 from collections.abc import Mapping
 from dataclasses import dataclass
 from typing import Any, Literal, Optional, Union
@@ -6,7 +7,18 @@
 import narwhals as nw
 import numpy as np
 import pandas as pd
-from tqdm import tqdm
+
+try:
+    from tqdm import tqdm
+except ImportError:
+    warnings.warn(
+        "The tqdm package is not installed. Progress bars are disabled. Note that tqdm is included in the pyfixest default environment."
+    )
+
+    def tqdm(iterable, *args, **kwargs):
+        "Define a dummy tqdm function."
+        return iterable
+
 
 from pyfixest.estimation.feols_ import Feols, PredictionErrorOptions, PredictionType
 from pyfixest.estimation.FormulaParser import FixestFormula
diff --git a/pyfixest/estimation/ritest.py b/pyfixest/estimation/ritest.py
index d1d1365e6..56cfc897a 100644
--- a/pyfixest/estimation/ritest.py
+++ b/pyfixest/estimation/ritest.py
@@ -5,7 +5,7 @@
 import numba as nb
 import numpy as np
 import pandas as pd
-import seaborn as sns
+from scipy.stats import gaussian_kde
 
 # Make lets-plot an optional dependency
 try:
@@ -25,11 +25,24 @@
 except ImportError:
     _HAS_LETS_PLOT = False
 
+import warnings
+
 from scipy.stats import norm
-from tqdm import tqdm
 
 from pyfixest.estimation.demean_ import demean
 
+try:
+    from tqdm import tqdm
+except ImportError:
+    warnings.warn(
+        "The tqdm package is not installed. Progress bars are disabled. Note that tqdm is included in the pyfixest default environment."
+    )
+
+    def tqdm(iterable, *args, **kwargs):
+        "Define a dummy tqdm function."
+        return iterable
+
+
 # Only setup lets-plot if it's available
 if _HAS_LETS_PLOT:
     LetsPlot.setup_html()
@@ -382,10 +395,23 @@ def _plot_ritest_pvalue(
     x_lab = "Test statistic"
     y_lab = "Density"
 
+    def _plot_matplotlib(values: np.ndarray, sample_stat: np.ndarray) -> None:
+        kde = gaussian_kde(values)
+        x_range = np.linspace(min(values), max(values), 1000)
+        y_range = kde(x_range)
+
+        plt.figure(figsize=(10, 6))
+        plt.fill_between(x_range, y_range, color="blue", alpha=0.5)
+        plt.axvline(x=sample_stat, color="red", linestyle="--")
+        plt.title(title)
+        plt.xlabel(x_lab)
+        plt.ylabel(y_lab)
+        plt.show()
+
     if plot_backend == "lets_plot":
         if not _HAS_LETS_PLOT:
             print("lets-plot is not installed. Falling back to matplotlib.")
-            plot_backend = "matplotlib"
+            return _plot_matplotlib(df["ri_stats"].to_numpy(), sample_stat)
         else:
             plot = (
                 ggplot(df, aes(x="ri_stats"))
@@ -397,16 +423,10 @@ def _plot_ritest_pvalue(
                 + ylab(y_lab)
             )
 
-        return plot.show()
+            return plot.show()
 
     elif plot_backend == "matplotlib":
-        plt.figure(figsize=(10, 6))
-        sns.kdeplot(data=df, x="ri_stats", fill=True, color="blue", alpha=0.5)
-        plt.axvline(x=sample_stat, color="red", linestyle="--")
-        plt.title(title)
-        plt.xlabel(x_lab)
-        plt.ylabel(y_lab)
-        plt.show()
+        return _plot_matplotlib(df["ri_stats"].to_numpy(), sample_stat)
 
     else:
         raise ValueError(f"Unsupported plot backend: {plot_backend}")
diff --git a/pyfixest/report/summarize.py b/pyfixest/report/summarize.py
index 9bd8db557..a1c43bf06 100644
--- a/pyfixest/report/summarize.py
+++ b/pyfixest/report/summarize.py
@@ -6,8 +6,6 @@
 
 import numpy as np
 import pandas as pd
-from great_tables import GT
-from tabulate import tabulate
 
 from pyfixest.estimation.feiv_ import Feiv
 from pyfixest.estimation.feols_ import Feols
@@ -156,6 +154,8 @@ def etable(
     pf.etable([fit1, fit2])
     ```
     """
+    # check if etable installed else error
+
     if signif_code is None:
         signif_code = [0.001, 0.01, 0.05]
     assert isinstance(signif_code, list) and len(signif_code) == 3, (
@@ -704,6 +704,11 @@ def _tabulate_etable_md(df, n_coef, n_fixef, n_models, n_model_stats):
     -------
     - formatted_table (str): The formatted table as a string.
     """
+    try:
+        from tabulate import tabulate
+    except ImportError:
+        raise ImportError("The tabulate package is required but it is not installed.")
+
     # Format the DataFrame for tabulate
     table = tabulate(
         df,
@@ -1085,6 +1090,13 @@ def make_table(
             rowname_col = dfs.columns[0]
             groupname_col = None
 
+        try:
+            from great_tables import GT
+        except ImportError:
+            raise ImportError(
+                "The great_tables package is for running pf.etable() in 'gt' mode."
+            )
+
         # Generate the table with GT
         gt = GT(dfs, auto_align=False)
 
diff --git a/pyproject.toml b/pyproject.toml
index 98f49d174..94eaa47d9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,19 +15,27 @@ dependencies = [
   "formulaic>=1.1.0",
   "pandas>=1.1.0",
   "numba>=0.58.0",
-  "seaborn>=0.13.2",
-  "tabulate>=0.9.0",
-  "tqdm>=4.0.0",
-  "great-tables>=0.10.0",
   "numpy>=1.19.0",
   "narwhals>=1.13.3",
-  "joblib>=1.4.2,<2",
+  "matplotlib>=3.4",
 ]
 
 [tool.pixi.feature.dev.dependencies]
 rpy2 = ">=3.5.11,<4"
 
+[tool.pixi.feature.minimaldev.dependencies]
+rpy2 = ">=3.5.11,<4"
+
+
 [project.optional-dependencies]
+
+core = [
+  "joblib>=1.4.2,<2",
+  "tabulate>=0.9.0",
+  "tqdm>=4.0.0",
+  "great-tables>=0.10.0",
+]
+
 dev = [
   "pytest>=7.2.0",
   "pytest-cov>=4.1.0",
@@ -42,6 +50,13 @@ dev = [
   "pyarrow>=14.0",
   "jax>=0.4.15",
   "jaxlib>=0.4.15",
+  "seaborn>=0.13.2",
+]
+
+minimaldev = [
+  "pytest>=7.2.0",
+  "pytest-cov>=4.1.0",
+  "pytest-xdist>=3.5.0",
 ]
 
 plots = [
@@ -83,8 +98,10 @@ platforms = ["linux-64", "win-64", "osx-arm64", "osx-64"]
 pyfixest = { path = ".", editable = true }
 
 [tool.pixi.environments]
-default = { solve-group = "default" }
+minimal = { solve-group = "default" }
+default = {features = ["core"], solve-group = "default"}
 dev = { features = ["dev"], solve-group = "default" }
+minimaldev = { features = ["minimaldev"], solve-group = "default" }
 docs = { features = ["docs"], solve-group = "default" }
 build = { features = ["build"], solve-group = "default" }
 jax = { features = ["jax"], solve-group = "default" }
@@ -105,6 +122,10 @@ update-test-data = "Rscript tests/r_test_comparisons.R"
 install-r = "Rscript r_test_requirements.R"
 render-notebooks = "python scripts/run_notebooks.py"
 
+[tool.pixi.feature.minimaldev.tasks]
+tests-fixest-minimal = "pytest tests/test_vs_fixest.py::test_single_fit_feols -k 'not jax' --cov=pyfixest --cov-report=xml"
+
+
 [tool.pixi.feature.build.tasks]
 build-pip = 'python -m build .'
 
@@ -113,10 +134,6 @@ docs-build = "quartodoc build --verbose --config docs/_quarto.yml"
 docs-render = "quarto render docs"
 docs-preview = "quarto preview docs"
 
-[tool.pixi.feature.docs.dependencies]
-rpy2 = ">=3.5.11,<4"
-r-fixest = ">=0.12.1,<0.13"
-r-broom = ">=1.0.5,<2"
 
 [tool.pytest.ini_options]
 addopts = [
diff --git a/scripts/run_notebooks.py b/scripts/run_notebooks.py
index 5fde39732..a6a903b6e 100644
--- a/scripts/run_notebooks.py
+++ b/scripts/run_notebooks.py
@@ -4,11 +4,23 @@
 """
 
 import logging
+import warnings
 from pathlib import Path
 
 import papermill
 from joblib import Parallel, delayed
-from tqdm import tqdm
+
+try:
+    from tqdm import tqdm
+except ImportError:
+    warnings.warn(
+        "The tqdm package is not installed. Progress bars are disabled. Note that tqdm is included in the pyfixest default environment."
+    )
+
+    def tqdm(iterable, *args, **kwargs):
+        "Define a dummy tqdm function."
+        return iterable
+
 
 KERNEL_NAME: str = "python3"
 DOCS = Path("docs")