diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 51ca5782..4e66845f 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -48,4 +48,4 @@ jobs:
       - name: Install xarray_sql
         run: uv sync --dev
       - name: Run unit tests
-        run: uv run pytest -m "not integration"
\ No newline at end of file
+        run: uv run pytest -m "not integration"
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index 77b77ac9..6063e4db 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -39,5 +39,5 @@ jobs:
         uses: astral-sh/setup-uv@v5
         with:
           python-version: ${{ matrix.python-version }}
-      - name: Lint with pyink
-        run: uvx pyink --check .
\ No newline at end of file
+      - name: Run pre-commit (with uvx)
+        run: uvx pre-commit run --all-files
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index f983d274..7f153a11 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -94,4 +94,4 @@ jobs:
         with:
           user: __token__
           password: ${{ secrets.PYPI_TOKEN }}
-          verbose: true
\ No newline at end of file
+          verbose: true
diff --git a/.gitignore b/.gitignore
index e1ec5f23..1f7411dd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,4 +5,4 @@ dist
 __pycache__
 .pytest_cache
 .venv
-.idea
\ No newline at end of file
+.idea
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 00000000..462af82c
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,23 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v6.0.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-added-large-files
+      - id: check-json
+      - id: check-toml
+
+  - repo: https://github.com/google/pyink
+    rev: 24.10.1
+    hooks:
+      - id: pyink
+        # Configuration is read from pyproject.toml [tool.pyink]
+
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.11.2
+    hooks:
+      - id: mypy
+        additional_dependencies: [types-setuptools]
+        args: [--ignore-missing-imports]
diff --git a/.python-version b/.python-version
index 902b2c90..2c073331 100644
--- a/.python-version
+++ b/.python-version
@@ -1 +1 @@
-3.11
\ No newline at end of file
+3.11
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 5443bda9..d173793d 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -15,7 +15,11 @@ reading [Xarray's contributing guide](https://docs.xarray.dev/en/stable/contribu
 0. We use `uv` to manage the project: https://docs.astral.sh/uv/getting-started/installation/
 1. Clone the repository (bonus: [via SSH](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/adding-a-new-ssh-key-to-your-github-account))
    and `cd xarray_sql` (the project root).
-2. Install dev dependencies via: `uv sync --dev` 
+2. Install dev dependencies via: `uv sync --dev`
+3. Install pre-commit hooks: `uv run pre-commit install`
+
+   This will automatically run code formatting (pyink) and type checking (mypy) before each commit.
+   You can also run the hooks manually with: `uv run pre-commit run --all-files`
 
 
 ## Before submitting a pull request...
@@ -23,12 +27,16 @@ reading [Xarray's contributing guide](https://docs.xarray.dev/en/stable/contribu
 Thanks so much for your contribution! For a volunteer led project, we so
 appreciate your help. A few things to keep in mind:
 - Please be nice. We assume good intent from you, and we ask you to do the same for us.
-- Development in this project will be slow if not sporadic. Reviews will come 
+- Development in this project will be slow if not sporadic. Reviews will come
   as time allows.
-- Every contribution, big or small, matters and deserves credit. 
+- Every contribution, big or small, matters and deserves credit.
 
 Here are a few requests for your development process:
-- We require all code to be formatted with `pyink` (i.e., please run `uvx pyink .`). 
+- We require all code to be formatted with `pyink` and type-checked with `mypy`.
+  These checks run automatically via pre-commit hooks (see Developer setup above).
+  If you need to run them manually:
+  - Formatting: `uv run pre-commit run pyink --all-files` or `uvx pyink .`
+  - Type checking: `uv run pre-commit run mypy --all-files` or `uv run mypy xarray_sql/`
 - Please include unit tests, if possible, and performance tests when you touch the core functionality (see `perf_tests/`).
 - It's polite to do a self review before asking for one from a maintainer. Don't stress if you forget; we all do sometimes.
 - Please add (or update) documentation when adding new code. We use [Google Style docstrings](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html).
diff --git a/LICENSE b/LICENSE
index 7a4a3ea2..d6456956 100644
--- a/LICENSE
+++ b/LICENSE
@@ -199,4 +199,4 @@
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
-   limitations under the License.
\ No newline at end of file
+   limitations under the License.
diff --git a/README.md b/README.md
index 7482503c..1597d399 100644
--- a/README.md
+++ b/README.md
@@ -42,8 +42,8 @@ ctx.from_dataset('air', ds, chunks=dict(time=24))  # the dataset needs to be chu
 result = ctx.sql('''
   SELECT
     "lat", "lon", AVG("air") as air_total
-  FROM 
-    "air" 
+  FROM
+    "air"
   GROUP BY
    "lat", "lon"
 ''')
@@ -63,7 +63,7 @@ result = ctx.sql('''
 # | 72.5 | 275.0 | 257.30633219178037 |
 # +------+-------+--------------------+
 # Data truncated.
-# 
+#
 
 # A table of the average temperature for each location across time.
 df = result.to_pandas()
@@ -104,7 +104,7 @@ All chunks in a Xarray Dataset are transformed into a Dask DataFrame via
 `from_map()` and `to_dataframe()`. For SQL support, we just use `dask-sql`.
 That's it!
 
-_2025 update_: This library now implements a Dask-like `from_map` interface in 
+_2025 update_: This library now implements a Dask-like `from_map` interface in
 pure DataFusion and PyArrow, but works with the same principle!
 
 ## Why does this work?
@@ -113,13 +113,13 @@ Underneath Xarray, Dask, and Pandas, there are NumPy arrays. These are paged in
 chunks and represented contiguously in memory. It is only a matter of metadata
 that breaks them up into ndarrays. `to_dataframe()`
 just changes this metadata (via a `ravel()`/`reshape()`), back into a column
-amenable to a DataFrame. We take advantage of this light weight metadata change to 
+amenable to a DataFrame. We take advantage of this light weight metadata change to
 make chunked information scannable by a DB engine (DataFusion).
 
 ## What are the current limitations?
 
 _2025 update_: TBD, DataFusion provides a whole new world! Currently, we're looking for
-early users – "tire kickers", if you will. We'd love your input to shape the direction of this 
+early users – "tire kickers", if you will. We'd love your input to shape the direction of this
 project! Please, give this a try and [file issues](https://github.com/alxmrs/xarray-sql/issues) as
 you see fit. Check out our [contributing guide](CONTRIBUTING.md), too 😉.
 
diff --git a/perf_tests/README.md b/perf_tests/README.md
index 4c07c591..8878b92b 100644
--- a/perf_tests/README.md
+++ b/perf_tests/README.md
@@ -1,6 +1,6 @@
 # Performance testing & profiling
 
-So far, this includes statistical profiles via py-spy. 
+So far, this includes statistical profiles via py-spy.
 
 ## Dev Process
 
@@ -16,4 +16,3 @@ So far, this includes statistical profiles via py-spy.
 2. After tuning code in xarray-sql, run another profile to generate a SVG.
 
 3. Please commit the "after" profile SVG along with the performance improvements.
-
diff --git a/perf_tests/groupby_air.py b/perf_tests/groupby_air.py
index 768004b3..c9f4d8ec 100755
--- a/perf_tests/groupby_air.py
+++ b/perf_tests/groupby_air.py
@@ -22,8 +22,8 @@
       """
       SELECT
         "lat", "lon", SUM("air") as air_total
-      FROM 
-        "air" 
+      FROM
+        "air"
       GROUP BY
        "lat", "lon"
       """
diff --git a/perf_tests/groupby_air_full.py b/perf_tests/groupby_air_full.py
index 2dff68e8..e54ad139 100755
--- a/perf_tests/groupby_air_full.py
+++ b/perf_tests/groupby_air_full.py
@@ -19,8 +19,8 @@
       """
       SELECT
         "lat", "lon", SUM("air") as air_total
-      FROM 
-        "air" 
+      FROM
+        "air"
       GROUP BY
        "lat", "lon"
       """
diff --git a/perf_tests/profile.sh b/perf_tests/profile.sh
index 222b6110..18c1defa 100755
--- a/perf_tests/profile.sh
+++ b/perf_tests/profile.sh
@@ -1,2 +1,2 @@
 #!/usr/bin/env bash
-py-spy record ./$1 --function --threads
\ No newline at end of file
+py-spy record ./$1 --function --threads
diff --git a/pyproject.toml b/pyproject.toml
index 6ad8fd77..8766a925 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,6 +55,27 @@ preview = true
 pyink-indentation = 2
 pyink-use-majority-quotes = true
 
+[tool.mypy]
+python_version = "3.11"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = false
+follow_imports = "skip"
+exclude = [
+    "perf_tests/",
+    "xarray_sql.egg-info/",
+    "^\\.venv/",
+]
+
+# Per-module ignores for libraries without type stubs
+[[tool.mypy.overrides]]
+module = [
+    "pyarrow.*",
+    "datafusion.*",
+    "xarray.*",
+]
+ignore_missing_imports = true
+
 [tool.setuptools_scm]
 
 [dependency-groups]
@@ -62,4 +83,7 @@ dev = [
     "xarray_sql[test]",
     "py-spy>=0.4.0",
     "pyink>=24.10.1",
-]
\ No newline at end of file
+    "mypy>=1.11.0",
+    "pre-commit>=3.0.0",
+    "pandas-stubs>=2.2.2.240807",
+]
diff --git a/uv.lock b/uv.lock
index 7eb7282a..1369363c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
+revision = 3
 requires-python = ">=3.9"
 resolution-markers = [
     "python_full_version >= '3.13'",
@@ -12,9 +13,9 @@ resolution-markers = [
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
 ]
 
 [[package]]
@@ -31,93 +32,93 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
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-wheels = [
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@@ -2578,6 +2823,11 @@ test = [
 
 [package.dev-dependencies]
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diff --git a/xarray_sql/df.py b/xarray_sql/df.py
index 6632c96d..a249d107 100644
--- a/xarray_sql/df.py
+++ b/xarray_sql/df.py
@@ -35,8 +35,12 @@ def block_slices(ds: xr.Dataset, chunks: Chunks = None) -> t.Iterator[Block]:
 
   assert chunks, "Dataset `ds` must be chunked or `chunks` must be provided."
 
-  chunk_bounds = {dim: np.cumsum((0,) + c) for dim, c in chunks.items()}
-  ichunk = {dim: range(len(c)) for dim, c in chunks.items()}
+  # chunks is Dict[str, Tuple[int, ...]] from xarray
+  chunk_bounds = {
+      dim: np.cumsum((0,) + tuple(c))  # type: ignore[arg-type]
+      for dim, c in chunks.items()
+  }
+  ichunk = {dim: range(len(tuple(c))) for dim, c in chunks.items()}  # type: ignore[arg-type]
   ick, icv = zip(*ichunk.items())  # Makes same order of keys and val.
   chunk_idxs = (dict(zip(ick, i)) for i in itertools.product(*icv))
   blocks = (
@@ -59,7 +63,7 @@ def _block_len(block: Block) -> int:
 
 
 def from_map_batched(
-    func: t.Callable[[...], pd.DataFrame],
+    func: t.Callable[..., pd.DataFrame],
     *iterables,
     args: t.Optional[t.Tuple] = None,
     schema: pa.Schema = None,
@@ -147,7 +151,7 @@ def from_map(
 
 def pivot(ds: xr.Dataset) -> pd.DataFrame:
   """Converts an xarray Dataset to a pandas DataFrame."""
-  return ds.to_dataframe().reset_index()
+  return ds.to_dataframe().reset_index()  # type: ignore[no-any-return]
 
 
 def _parse_schema(ds) -> pa.Schema: