diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 5d6496e7..cf4dce45 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -26,7 +26,7 @@ jobs:
       - name: Set up pixi
         uses: prefix-dev/setup-pixi@82d477f15f3a381dbcc8adc1206ce643fe110fb7 # v0.9.3
         with:
-          environments: default lint
+          environments: default lint polars-minimal
       - name: Install Rust
         run: rustup show
       - name: Cache Rust dependencies
@@ -45,6 +45,7 @@ jobs:
         environment: [py310, py311, py312, py313, py314]
         with_optionals: [false]
         include:
+          # Test with optional dependencies across OSes
           - os: ubuntu-latest
             environment: py314-optionals
             with_optionals: true
@@ -54,6 +55,10 @@ jobs:
           - os: macos-latest
             environment: py314-optionals
             with_optionals: true
+          # Test polars backward compatibility, only one OS
+          - os: ubuntu-latest
+            environment: polars-minimal
+            with_optionals: false
     steps:
       - name: Checkout branch
         uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 496dc4ef..2fb87a65 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -6,7 +6,7 @@ repos:
       # workaround for https://github.com/prefix-dev/pixi/issues/1482
       - id: pixi-install
         name: pixi-install
-        entry: pixi install -e default -e lint
+        entry: pixi install -e default -e lint -e polars-minimal
         language: system
         always_run: true
         require_serial: true
@@ -48,6 +48,13 @@ repos:
         language: system
         types: [python]
         require_serial: true
+      # mypy with oldest supported polars version
+      - id: mypy
+        name: mypy-polars-minimal
+        entry: pixi run -e default-polars-minimal  mypy --cache-dir .mypy_cache_polars_minimal
+        language: system
+        types: [python]
+        require_serial: true
       # cargo-fmt
       - id: cargo-fmt
         name: cargo-fmt
diff --git a/dataframely/_compat.py b/dataframely/_compat.py
index 7acc643e..60e3349c 100644
--- a/dataframely/_compat.py
+++ b/dataframely/_compat.py
@@ -1,9 +1,10 @@
 # Copyright (c) QuantCo 2025-2026
 # SPDX-License-Identifier: BSD-3-Clause
 
-
 from typing import Any
 
+import polars as pl
+
 
 class _DummyModule:  # pragma: no cover
     def __init__(self, module: str) -> None:
@@ -58,7 +59,6 @@ class Dialect:  # type: ignore # noqa: N801
 except ImportError:
     pa = _DummyModule("pyarrow")
 
-
 # -------------------------------------- PYDANTIC ------------------------------------ #
 
 try:
@@ -71,6 +71,20 @@ class Dialect:  # type: ignore # noqa: N801
 except ImportError:
     pydantic_core_schema = _DummyModule("pydantic_core_schema")  # type: ignore
 
+# --------------------------------------- POLARS ------------------------------------- #
+
+_polars_version_tuple = tuple(
+    int(part) if part.isdigit() else part for part in pl.__version__.split(".")
+)
+if _polars_version_tuple < (1, 36):
+    from polars._typing import (  # type: ignore[attr-defined,unused-ignore]
+        PartitioningScheme as PartitionSchemeOrSinkDirectory,
+    )
+else:
+    from polars.io.partition import (  # type: ignore[no-redef,attr-defined,unused-ignore]
+        _SinkDirectory as PartitionSchemeOrSinkDirectory,
+    )
+
 # ------------------------------------------------------------------------------------ #
 
 __all__ = [
@@ -78,6 +92,7 @@ class Dialect:  # type: ignore # noqa: N801
     "DeltaTable",
     "Dialect",
     "MSDialect_pyodbc",
+    "PartitionSchemeOrSinkDirectory",
     "pa",
     "PGDialect_psycopg2",
     "pydantic_core_schema",
diff --git a/dataframely/filter_result.py b/dataframely/filter_result.py
index 89d4f130..23615a49 100644
--- a/dataframely/filter_result.py
+++ b/dataframely/filter_result.py
@@ -10,11 +10,11 @@
 from typing import IO, TYPE_CHECKING, Any, Generic, TypeVar
 
 import polars as pl
-from polars.io.partition import _SinkDirectory as SinkDirectory
 
 from dataframely._base_schema import BaseSchema
 from dataframely._compat import deltalake
 
+from ._compat import PartitionSchemeOrSinkDirectory
 from ._storage import StorageBackend
 from ._storage.delta import DeltaStorageBackend
 from ._storage.parquet import ParquetStorageBackend
@@ -32,6 +32,7 @@
 
 S = TypeVar("S", bound=BaseSchema)
 
+
 # ----------------------------------- FILTER RESULT ---------------------------------- #
 
 
@@ -73,7 +74,8 @@ def collect_all(self, **kwargs: Any) -> FilterResult[S]:
             [self.result.lazy(), self.failure._lf], **kwargs
         )
         return FilterResult(
-            result=result_df,  # type: ignore
+            # Whether the type ignore is necessary depends on the polars version.
+            result=result_df,  # type: ignore[arg-type,unused-ignore]
             failure=FailureInfo(
                 failure_df.lazy(), self.failure._rule_columns, self.failure.schema
             ),
@@ -164,7 +166,9 @@ def write_parquet(self, file: str | Path | IO[bytes], **kwargs: Any) -> None:
         self._write(ParquetStorageBackend(), file=file, **kwargs)
 
     def sink_parquet(
-        self, file: str | Path | IO[bytes] | SinkDirectory, **kwargs: Any
+        self,
+        file: str | Path | IO[bytes] | PartitionSchemeOrSinkDirectory,
+        **kwargs: Any,
     ) -> None:
         """Stream the failure info to a single parquet file.
 
diff --git a/dataframely/schema.py b/dataframely/schema.py
index 3fbebc73..5384899c 100644
--- a/dataframely/schema.py
+++ b/dataframely/schema.py
@@ -15,12 +15,11 @@
 import polars as pl
 import polars.exceptions as plexc
 from polars._typing import FileSource
-from polars.io.partition import _SinkDirectory as SinkDirectory
 
 from dataframely._compat import deltalake
 
 from ._base_schema import ORIGINAL_COLUMN_PREFIX, BaseSchema
-from ._compat import pa, sa
+from ._compat import PartitionSchemeOrSinkDirectory, pa, sa
 from ._match_to_schema import match_to_schema
 from ._native import format_rule_failures
 from ._plugin import all_rules, all_rules_horizontal, all_rules_required
@@ -55,9 +54,9 @@
 else:
     from typing_extensions import Self
 
-
 _COLUMN_VALID = "__DATAFRAMELY_VALID__"
 
+
 # ------------------------------------------------------------------------------------ #
 #                                   SCHEMA DEFINITION                                  #
 # ------------------------------------------------------------------------------------ #
@@ -901,7 +900,7 @@ def sink_parquet(
         cls,
         lf: LazyFrame[Self],
         /,
-        file: str | Path | IO[bytes] | SinkDirectory,
+        file: str | Path | IO[bytes] | PartitionSchemeOrSinkDirectory,
         **kwargs: Any,
     ) -> None:
         """Stream a typed lazy frame with this schema to a parquet file.
diff --git a/docs/guides/faq.md b/docs/guides/faq.md
index 5807525e..d5e24d8f 100644
--- a/docs/guides/faq.md
+++ b/docs/guides/faq.md
@@ -33,3 +33,12 @@ class UserSchema(dy.Schema):
 ## How do I fix the ruff error `First argument of a method should be named self`?
 
 See our documentation on [group rules](./quickstart.md#group-rules).
+
+## What versions of `polars` does `dataframely` support?
+
+Our CI automatically tests `dataframely` for a minimal supported version of `polars`, which is currently `1.35.*`,
+and the latest stable version.
+We aim to extend support for new `polars` versions as they are released.
+
+If your `polars` version is not in the range of supported versions, `dataframely` may still work, but you may
+encounter unexpected issues.
diff --git a/pixi.lock b/pixi.lock
index 42d3cd72..fc258402 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1993,7 +1993,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h5bddc39_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
-  docs:
+  default-polars-minimal:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
     options:
@@ -2003,60 +2003,146 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.5-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/apeye-1.4.1-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/apeye-core-1.1.5-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.25.2-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohttp-3.13.3-pyhf64b827_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aioitertools-0.13.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py314h5bd0f2a_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/arro3-core-0.6.5-py314ha5689aa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.1.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-timeout-5.0.1-pyhcf101f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.4.0-pyhcf101f3_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/autodocsumm-0.2.14-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.9.3-hef928c7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.13-h2c9d079_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.12.6-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.1-h8b1a151_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.5.7-h28f887f_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.10.7-ha8fc4e3_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.23.3-hdaf4b65_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.13.3-hc63082f_11.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.11.3-h06ab39a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.2.4-h8b1a151_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.2.7-h8b1a151_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.35.4-h8824e59_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.606-h20b40b1_10.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aws-xray-sdk-2.15.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.16.1-h3a458e0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.13.2-h3a5f585_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.15.0-h2a74896_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.11.0-h3d7a050_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.13.0-hf38f1be_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.17.0-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.3.0-h5f6438b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.40.70-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.40.70-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py314h3de4e8d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-hbd8a1cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cachecontrol-0.14.3-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.1.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py314h4a8dc5f_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.14.2-py314hd8ed1ab_100.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cssutils-2.11.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.3-py314h7fe84b3_1.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/deltalake-1.3.2-py310h1c74b4c_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.12.0-pyhd8ed1ab_0.conda
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+  size: 3197944
+  timestamp: 1767831161512
 - conda: https://conda.anaconda.org/conda-forge/osx-64/typos-1.41.0-ha35cfd3_0.conda
   sha256: c8f91dece3046ebef45f5827e128194958e7a1357ea2a08d24655ac4769ce09a
   md5: 8f4515449644e554638e8a7094851f8c
@@ -27465,6 +31072,17 @@ packages:
   license_family: MIT
   size: 3031781
   timestamp: 1767238758372
+- conda: https://conda.anaconda.org/conda-forge/osx-64/typos-1.42.0-ha35cfd3_0.conda
+  sha256: 386e8aebabb847bf536d260a3ea0c3f84acd8024941b647c3d588892ba0d2411
+  md5: 52c395c6a02fff3cc48bc5d93cda8906
+  depends:
+  - __osx >=10.13
+  constrains:
+  - __osx >=10.13
+  license: MIT
+  license_family: MIT
+  size: 3027062
+  timestamp: 1767832066191
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.41.0-h748bcf4_0.conda
   sha256: 5edf6848afe47207ec4a3eee418260ceaf5a6f79f7b485d571200e0fc5ad40b2
   md5: 53bf3e833da7b543368a43e0dfe65a18
@@ -27476,6 +31094,17 @@ packages:
   license_family: MIT
   size: 2991592
   timestamp: 1767239017570
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.42.0-h748bcf4_0.conda
+  sha256: 9325a983f04ad5fabb60a08bed80345aebcd36b0ec5a40ac9c089dd4226330a4
+  md5: 50478ee8eee56bb7e53b5e8426b85ce9
+  depends:
+  - __osx >=11.0
+  constrains:
+  - __osx >=11.0
+  license: MIT
+  license_family: MIT
+  size: 2987220
+  timestamp: 1767831438261
 - conda: https://conda.anaconda.org/conda-forge/win-64/typos-1.41.0-h77a83cd_0.conda
   sha256: ff16539b7a58e97c85e4b5a3bc8650457871572f6438c6eb5b2a18721788f559
   md5: 03215d2274b9ad8db6ac5cfd87048cbe
@@ -27487,6 +31116,17 @@ packages:
   license_family: MIT
   size: 2838391
   timestamp: 1767238748757
+- conda: https://conda.anaconda.org/conda-forge/win-64/typos-1.42.0-h77a83cd_0.conda
+  sha256: 984f6bd130bb5f3ceae73714982a3215f1aa488a54b84d94688b03fabbc56d86
+  md5: a5157c4b52c8b4d2985f20a7348ac4e3
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: MIT
+  license_family: MIT
+  size: 2830887
+  timestamp: 1767831360519
 - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
   sha256: 1d30098909076af33a35017eed6f2953af1c769e273a0626a04722ac4acaba3c
   md5: ad659d0a2b3e47e38d829aa8cad2d610
@@ -27616,6 +31256,16 @@ packages:
   license: LGPL-2.1-only
   size: 267897
   timestamp: 1764772790779
+- conda: https://conda.anaconda.org/conda-forge/noarch/untokenize-0.1.1-pyhcf101f3_3.conda
+  sha256: 557f4cef95e3f239d9b7c2e75b32840f0fe1b2c62a9832da76bb51ae3d080687
+  md5: 5ab2494adac58ab85da2e8e4ed0fa057
+  depends:
+  - python >=3.10
+  - python
+  license: MIT
+  license_family: MIT
+  size: 11029
+  timestamp: 1767727736121
 - conda: https://conda.anaconda.org/conda-forge/noarch/untokenize-0.1.1-pyhd8ed1ab_2.conda
   sha256: a179ee4e4d13bdb308d4c26f8af1da1510d07961fe0c5b0cfe0fff25e9eb6905
   md5: a7bafc627d25a939bb68206bd7abd483
@@ -27647,6 +31297,19 @@ packages:
   license_family: MIT
   size: 102842
   timestamp: 1765719817255
+- conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.6.3-pyhd8ed1ab_0.conda
+  sha256: af641ca7ab0c64525a96fd9ad3081b0f5bcf5d1cbb091afb3f6ed5a9eee6111a
+  md5: 9272daa869e03efe68833e3dc7a02130
+  depends:
+  - backports.zstd >=1.0.0
+  - brotli-python >=1.2.0
+  - h2 >=4,<5
+  - pysocks >=1.5.6,<2.0,!=1.5.7
+  - python >=3.10
+  license: MIT
+  license_family: MIT
+  size: 103172
+  timestamp: 1767817860341
 - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda
   sha256: 9dc40c2610a6e6727d635c62cced5ef30b7b30123f5ef67d6139e23d21744b3a
   md5: 1e610f2416b6acdd231c5f573d754a0f
@@ -27694,6 +31357,19 @@ packages:
   license_family: MIT
   size: 4401341
   timestamp: 1761726489722
+- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.36.1-pyhd8ed1ab_0.conda
+  sha256: fa0a21fdcd0a8e6cf64cc8cd349ed6ceb373f09854fd3c4365f0bc4586dccf9a
+  md5: 6b0259cea8ffa6b66b35bae0ca01c447
+  depends:
+  - distlib >=0.3.7,<1
+  - filelock >=3.20.1,<4
+  - platformdirs >=3.9.1,<5
+  - python >=3.10
+  - typing_extensions >=4.13.2
+  license: MIT
+  license_family: MIT
+  size: 4404318
+  timestamp: 1768069793682
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
   sha256: 63ff4ec6e5833f768d402f5e95e03497ce211ded5b6f492e660e2bfc726ad24d
   md5: f276d1de4553e8fca1dfb6988551ebb4
@@ -27750,6 +31426,17 @@ packages:
   license_family: BSD
   size: 256621
   timestamp: 1764423417723
+- conda: https://conda.anaconda.org/conda-forge/noarch/werkzeug-3.1.5-pyhcf101f3_0.conda
+  sha256: 3ef418943ef14939a4bbc5157f31db2d6a7a025a3bfd7b4aa5a29034ba96e42e
+  md5: 784e86b857b809955635175881a9a418
+  depends:
+  - markupsafe >=2.1.1
+  - python >=3.10
+  - python
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 257059
+  timestamp: 1767946313110
 - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda
   sha256: 1b34021e815ff89a4d902d879c3bd2040bc1bd6169b32e9427497fa05c55f1ce
   md5: 75cb7132eb58d97896e173ef12ac9986
diff --git a/pixi.toml b/pixi.toml
index 40c476e1..71fcf516 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -13,7 +13,11 @@ python = ">=3.10"
 
 fsspec = ">=2025.9"
 numpy = "*"
-polars = ">=1.36"
+
+# NOTE: This is the oldest supported polars version.
+# It should always match the version in feature.polars-minimal.
+# The latest polars version is in feature.polars-latest.
+polars = ">=1.35"
 
 maturin = ">=1.7,<2"
 pip = "*"
@@ -107,18 +111,41 @@ python = "3.13.*"
 [feature.py314.dependencies]
 python = "3.14.*"
 
+[feature.polars-minimal.dependencies]
+# NOTE: Update docs/faq.md when updating this.
+polars = "1.35.*"
+
+[feature.polars-latest.dependencies]
+# NOTE: Update docs/faq.md when updating this.
+polars = "1.36.*"
+
 [feature.nightly.tasks]
 install-polars-nightly = "pip install --pre --no-deps --upgrade --only-binary :all: polars polars-runtime-32"
 
 [environments]
 build = ["build"]
-default = ["dev", "lint", "optionals", "py314", "test"]
+default = ["dev", "lint", "optionals", "py314", "test", "polars-latest"]
 docs = ["docs"]
 lint = { features = ["lint"], no-default-feature = true }
 nightly = ["nightly", "optionals", "test"]
-py310 = ["py310", "test"]
-py311 = ["py311", "test"]
-py312 = ["py312", "test"]
-py313 = ["py313", "test"]
-py314 = ["py314", "test"]
-py314-optionals = ["optionals", "py314", "test"]
+
+# Different python versions with the latest polars
+py310 = ["py310", "test", "polars-latest"]
+py311 = ["py311", "test", "polars-latest"]
+py312 = ["py312", "test", "polars-latest"]
+py313 = ["py313", "test", "polars-latest"]
+py314 = ["py314", "test", "polars-latest"]
+
+# Test with optional dependencies
+py314-optionals = ["optionals", "py314", "test", "polars-latest"]
+
+# Polars compatibility envs
+polars-minimal = ["py314", "test", "polars-minimal"]
+default-polars-minimal = [
+  "dev",
+  "lint",
+  "optionals",
+  "py314",
+  "test",
+  "polars-minimal",
+]
diff --git a/pyproject.toml b/pyproject.toml
index df76558c..a13adb65 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,7 @@ classifiers = [
 dependencies = [
   "fsspec>=2025.9",
   "numpy",
-  "polars>=1.36",
+  "polars>=1.35",
   # Conditional
   'typing-extensions; python_version <= "3.10"',
 ]