diff --git a/build_tools/azure/pylatest_conda_forge_mkl_linux-64_conda.lock b/build_tools/azure/pylatest_conda_forge_mkl_linux-64_conda.lock
index 3d895fda71bc3..bf5bcd3daff08 100644
--- a/build_tools/azure/pylatest_conda_forge_mkl_linux-64_conda.lock
+++ b/build_tools/azure/pylatest_conda_forge_mkl_linux-64_conda.lock
@@ -91,7 +91,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#1f5a58e686b13bcfde88b93f547d23fe
 https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2#309dec04b70a3cc0f1e84a4013683bc0
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
 https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda#784a4df6676c581ca624fbe460703a6d
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda#8292dea9e022d9610a11fce5e0896ed8
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -191,7 +191,7 @@ https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py311hb755f60_0.conda
 https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.3.14-hf3aad02_1.conda#a968ffa7e9fe0c257628033d393e512f
 https://conda.anaconda.org/conda-forge/linux-64/blas-1.0-mkl.tar.bz2#349aef876b1d8c9dccae01de20d5b385
 https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.3-haf2f30d_0.conda#f3df87cc9ef0b5113bff55aefcbcafd5
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.4.0-h3d44ed6_0.conda#27f46291a6aaa3c2a4f798ebd35a7ddb
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda#f5126317dd0ce0ba26945e411ecc6960
 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2#85f61af03fd291dae33150ffe89dc09a
 https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-255-h3516f8a_1.conda#3366af27f0b593544a6cd453c7932ac5
 https://conda.anaconda.org/conda-forge/noarch/meson-python-0.16.0-pyh0c530f3_0.conda#e16f0dbf502da873be9f9adb0dc52547
@@ -210,7 +210,7 @@ https://conda.anaconda.org/conda-forge/noarch/array-api-strict-1.1.1-pyhd8ed1ab_
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.1-py311h9547e67_0.conda#74ad0ae64f1ef565e27eda87fa749e84
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-12.0.1-hb87d912_8_cpu.conda#3f3b11398fe79b578e3c44dd00a44e4a
 https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.2-py311h320fe9a_0.conda#c79e96ece4110fdaf2657c9f8e16f749
-https://conda.anaconda.org/conda-forge/linux-64/polars-0.20.25-py311h00856b1_0.conda#84ad7fa8742f6d34784a961337622c55
+https://conda.anaconda.org/conda-forge/linux-64/polars-0.20.26-py311h00856b1_0.conda#d9002441c9b75b188f9cdc51bf4f22c7
 https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.9-py311hf0fb5b6_5.conda#ec7e45bc76d9d0b69a74a2075932b8e8
 https://conda.anaconda.org/conda-forge/linux-64/pytorch-1.13.1-cpu_py311h410fd25_1.conda#ddd2fadddf89e3dc3d541a2537fce010
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py311h517d4fd_1.conda#a86b8bea39e292a23b2cf9a750f49ea1
diff --git a/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock b/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock
index ce2d5e2c383a3..c0e54faa37bc6 100644
--- a/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock
+++ b/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock
@@ -28,7 +28,7 @@ https://conda.anaconda.org/conda-forge/osx-64/libcxx-17.0.6-h88467a6_0.conda#0fe
 https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.43-h92b6c6a_0.conda#65dcddb15965c9de2c0365cb14910532
 https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.45.3-h92b6c6a_0.conda#68e462226209f35182ef66eda0f794ff
 https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.15-hb7f2c08_0.conda#5513f57e0238c87c12dffedbcc9c1a4a
-https://conda.anaconda.org/conda-forge/osx-64/libxml2-2.12.6-hc0ae0f7_2.conda#50b997370584f2c83ca0c38e9028eab9
+https://conda.anaconda.org/conda-forge/osx-64/libxml2-2.12.7-h3e169fe_0.conda#4c04ba47fdd2ebecc1d3b6a77534d9ef
 https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.5-h39e0ece_0.conda#ee12a644568269838b91f901b2537425
 https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.0-hd75f5a5_0.conda#eb8c33aa7929a7714eab8b90c1d88afe
 https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda#f17f77f2acf4d344734bda76829ce14e
diff --git a/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock b/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock
index c1a50c7c8c140..e4305c97b76bc 100644
--- a/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock
+++ b/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock
@@ -40,7 +40,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/pip-24.0-py312h06a4308_0.conda#6d96
 # pip meson @ https://files.pythonhosted.org/packages/33/75/b1a37fa7b2dbca8c0dbb04d5cdd7e2720c8ef6febe41b4a74866350e041c/meson-1.4.0-py3-none-any.whl#sha256=476a458d51fcfa322a6bdc64da5138997c542d08e6b2e49b9fa68c46fd7c4475
 # pip ninja @ https://files.pythonhosted.org/packages/6d/92/8d7aebd4430ab5ff65df2bfee6d5745f95c004284db2d8ca76dcbfd9de47/ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl#sha256=84502ec98f02a037a169c4b0d5d86075eaf6afc55e1879003d6cab51ced2ea4b
 # pip packaging @ https://files.pythonhosted.org/packages/49/df/1fceb2f8900f8639e278b056416d49134fb8d84c5942ffaa01ad34782422/packaging-24.0-py3-none-any.whl#sha256=2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5
-# pip platformdirs @ https://files.pythonhosted.org/packages/b0/15/1691fa5aaddc0c4ea4901c26f6137c29d5f6673596fe960a0340e8c308e1/platformdirs-4.2.1-py3-none-any.whl#sha256=17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1
+# pip platformdirs @ https://files.pythonhosted.org/packages/68/13/2aa1f0e1364feb2c9ef45302f387ac0bd81484e9c9a4c5688a322fbdfd08/platformdirs-4.2.2-py3-none-any.whl#sha256=2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee
 # pip pluggy @ https://files.pythonhosted.org/packages/88/5f/e351af9a41f866ac3f1fac4ca0613908d9a41741cfcf2228f4ad853b697d/pluggy-1.5.0-py3-none-any.whl#sha256=44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669
 # pip pygments @ https://files.pythonhosted.org/packages/f7/3f/01c8b82017c199075f8f788d0d906b9ffbbc5a47dc9918a945e13d5a2bda/pygments-2.18.0-py3-none-any.whl#sha256=b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a
 # pip six @ https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl#sha256=8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
diff --git a/build_tools/azure/pymin_conda_forge_mkl_win-64_conda.lock b/build_tools/azure/pymin_conda_forge_mkl_win-64_conda.lock
index d95e56378ae56..8f0a473c031ca 100644
--- a/build_tools/azure/pymin_conda_forge_mkl_win-64_conda.lock
+++ b/build_tools/azure/pymin_conda_forge_mkl_win-64_conda.lock
@@ -39,7 +39,7 @@ https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-hcfcfb64_1.cond
 https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_2.conda#aa622c938af057adc119f8b8eecada01
 https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.43-h19919ed_0.conda#77e398acc32617a0384553aea29e866b
 https://conda.anaconda.org/conda-forge/win-64/libvorbis-1.3.7-h0e60522_0.tar.bz2#e1a22282de0169c93e4ffe6ce6acc212
-https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.6-hc3477c8_2.conda#ac7af7a949db01dae61ddc48f4a93d79
+https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h283a6d9_0.conda#1451be68a5549561979125c1827b79ed
 https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2#fe759119b8b3bfa720b8762c6fdc35de
 https://conda.anaconda.org/conda-forge/win-64/pcre2-10.43-h17e33f8_0.conda#d0485b8aa2cedb141a7bd27b4efa4c9c
 https://conda.anaconda.org/conda-forge/win-64/python-3.9.19-h4de0772_0_cpython.conda#b6999bc275e0e6beae7b1c8ea0be1e85
diff --git a/build_tools/azure/pymin_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock b/build_tools/azure/pymin_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock
index 231cd528ecd0e..1a4d0feae1773 100644
--- a/build_tools/azure/pymin_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock
+++ b/build_tools/azure/pymin_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock
@@ -71,7 +71,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda#0
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda#b3316cbe90249da4f8e84cd66e1cc55b
 https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2#309dec04b70a3cc0f1e84a4013683bc0
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
 https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda#784a4df6676c581ca624fbe460703a6d
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda#8292dea9e022d9610a11fce5e0896ed8
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -175,7 +175,7 @@ https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0
 https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py39h3d6467e_0.conda#e667a3ab0df62c54e60e1843d2e6defb
 https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda#08807a87fa7af10754d46f63b368e016
 https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.3-haf2f30d_0.conda#f3df87cc9ef0b5113bff55aefcbcafd5
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.4.0-h3d44ed6_0.conda#27f46291a6aaa3c2a4f798ebd35a7ddb
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda#f5126317dd0ce0ba26945e411ecc6960
 https://conda.anaconda.org/conda-forge/noarch/importlib-resources-6.4.0-pyhd8ed1ab_0.conda#dcbadab7a68738a028e195ab68ab2d2e
 https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.9.0-22_linux64_openblas.conda#1fd156abd41a4992835952f6f4d951d0
 https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-255-h3516f8a_1.conda#3366af27f0b593544a6cd453c7932ac5
diff --git a/build_tools/azure/pypy3_linux-64_conda.lock b/build_tools/azure/pypy3_linux-64_conda.lock
index 23710cfe35cb8..ab6a908edf340 100644
--- a/build_tools/azure/pypy3_linux-64_conda.lock
+++ b/build_tools/azure/pypy3_linux-64_conda.lock
@@ -4,24 +4,24 @@
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda#2f4327a1cbe7f022401b236e915a5fef
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-h7e041cc_5.conda#f6f6600d18a4047b54f803cf708b868a
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda#53ebd4c833fa01cb2c6353e99f905406
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.9-4_pypy39_pp73.conda#c1b2f29111681a4036ed21eaa3f44620
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda#161081fc7cec0bfda0d86d7cb595f8d8
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2#562b26ba2e19059551a811e72ab7f793
-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_5.conda#d4ff227c46917d3b4565302a2bbb276b
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda#72ec1b1b04c4d15d4204ece1ecea5978
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda#69b8b6202a07720f448be700e300ccf4
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda#aec6c91c7371c26392a06708a73c70e5
 https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.20-hd590300_0.conda#8e88f9389f1165d7c0936fe40d9a9a79
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda#e7ba12deb7020dd080c6c70e7b6f6a3d
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2#d645c6d2ac96843a2bfaccd2d62b3ac3
-https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-ha4646dd_5.conda#7a6bd7a12a4bd359e2afe6c0fa1acace
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda#c0bd771f09a326fdcd95a60b617795bf
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.2-hd590300_1.conda#049b7df8bae5e184d1de42cdf64855f8
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda#f36c115f1ee199da648e0597ec2047ad
-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4.20240210-h59595ed_0.conda#97da8860a0da5413c7c98a3b3838a645
-https://conda.anaconda.org/conda-forge/linux-64/ninja-1.11.1-h924138e_0.conda#73a4953a2d9c115bdc10ff30a52f675f
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.2.1-hd590300_1.conda#9d731343cff6ee2e5a25c4a091bf8e2a
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda#fcea371545eda051b6deafb24889fc69
+https://conda.anaconda.org/conda-forge/linux-64/ninja-1.12.1-h297d8ca_0.conda#3aa1c7e292afeff25a0091ddd7c69b72
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-hd590300_0.conda#c0f3abb4a16477208bbd43a39bd56f18
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2#22dad4df6e8630e8dff2428f6f6a7036
 https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2#4b230e8381279d76131116660f5a241a
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda#2c80dc38fface310c9bd81b17037fee5
@@ -32,22 +32,22 @@ https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161
 https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda#53fb86322bdb89496d7579fe3f02fd61
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda#f07002e225d7a60a694d42a7bf5ff53f
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda#5fc11c6020d421960607d821310fcd4d
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+https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda#1b84f26d9f4f6026e179e7805d5a15cd
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-https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-18.1.3-h4dfa4b3_0.conda#d39965123dffcad4d750989be65bcb7c
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.45.2-h2c6b66d_0.conda#1423efca06ed343c1da0fc429bae0779
+https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-18.1.5-ha31de31_0.conda#b923cdb6e567ada84f991ffcc5848afb
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.45.3-h2c6b66d_0.conda#be7d70f2db41b674733667bdd69bd000
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda#077b6e8ad6a3ddb741fce2496dd01bec
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@@ -72,12 +72,12 @@ https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
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-https://conda.anaconda.org/conda-forge/noarch/pluggy-1.4.0-pyhd8ed1ab_0.conda#139e9feb65187e916162917bb2484976
+https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
 https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda#b9a4dacf97241704529131a0dfc0494f
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-https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.4.0-pyhc1e730c_0.conda#b296278eef667c673bf51de6535bad88
+https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda#df68d78237980a159bd7149f33c0e8fd
 https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2#5844808ffab9ebdb694585b50ba02a96
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 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py39hf860d4a_0.conda#f699157518d28d00c87542b4ec1273be
@@ -87,16 +87,16 @@ https://conda.anaconda.org/conda-forge/linux-64/blas-devel-3.9.0-22_linux64_open
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.1-py39ha90811c_0.conda#07ed14c8326da42356514bcbc0b04802
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-https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.0-pyhd8ed1ab_0.conda#e0ed1bf13ce3a440e022157bf4764465
+https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda#25df261d4523d9f9783bcdb7208d872f
 https://conda.anaconda.org/conda-forge/noarch/meson-1.4.0-pyhd8ed1ab_0.conda#52a0660cfa40b45bf254ecc3374cb2e0
 https://conda.anaconda.org/conda-forge/noarch/pip-24.0-pyhd8ed1ab_0.conda#f586ac1e56c8638b64f9c8122a7b8a67
-https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.7.1-pyhd8ed1ab_0.conda#dcb27826ffc94d5f04e241322239983b
+https://conda.anaconda.org/conda-forge/noarch/pyproject-metadata-0.8.0-pyhd8ed1ab_0.conda#573fe09d7bd0cd4bcc210d8369b5ca47
 https://conda.anaconda.org/conda-forge/noarch/pytest-7.4.4-pyhd8ed1ab_0.conda#a9d145de8c5f064b5fa68fb34725d9f4
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-https://conda.anaconda.org/conda-forge/noarch/meson-python-0.15.0-pyh0c530f3_0.conda#3bc64565ca78ce3bb80248d09926d8f9
+https://conda.anaconda.org/conda-forge/noarch/meson-python-0.16.0-pyh0c530f3_0.conda#e16f0dbf502da873be9f9adb0dc52547
 https://conda.anaconda.org/conda-forge/linux-64/pyamg-5.1.0-py39h5fd064f_0.conda#04676d2a49da3cb608af77e04b796ce1
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diff --git a/build_tools/circle/doc_linux-64_conda.lock b/build_tools/circle/doc_linux-64_conda.lock
index e2584c2d27333..34ec64ad5863b 100644
--- a/build_tools/circle/doc_linux-64_conda.lock
+++ b/build_tools/circle/doc_linux-64_conda.lock
@@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda#0
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 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
 https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda#784a4df6676c581ca624fbe460703a6d
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda#8292dea9e022d9610a11fce5e0896ed8
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -165,7 +165,7 @@ https://conda.anaconda.org/conda-forge/noarch/networkx-3.2.1-pyhd8ed1ab_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/openblas-0.3.27-pthreads_h7a3da1a_0.conda#4b422ebe8fc6a5320d0c1c22e5a46032
 https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
 https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda#248f521b64ce055e7feae3105e7abeb8
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.1-pyhd8ed1ab_0.conda#d478a8a3044cdff1aa6e62f9269cefe0
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda#6f6cf28bf8e021933869bae3f84b8fc9
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
 https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_2.conda#18c6deb6f9602e32446398203c8f0e91
 https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py39hd1e30aa_0.conda#ec86403fde8793ac1c36f8afa3d15902
@@ -220,7 +220,7 @@ https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py39h3d6467e_0.conda#
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 https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.3-haf2f30d_0.conda#f3df87cc9ef0b5113bff55aefcbcafd5
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.4.0-h3d44ed6_0.conda#27f46291a6aaa3c2a4f798ebd35a7ddb
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda#f5126317dd0ce0ba26945e411ecc6960
 https://conda.anaconda.org/conda-forge/noarch/importlib-resources-6.4.0-pyhd8ed1ab_0.conda#dcbadab7a68738a028e195ab68ab2d2e
 https://conda.anaconda.org/conda-forge/noarch/lazy_loader-0.4-pyhd8ed1ab_0.conda#a284ff318fbdb0dd83928275b4b6087c
 https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.9.0-22_linux64_openblas.conda#1fd156abd41a4992835952f6f4d951d0
@@ -237,7 +237,7 @@ https://conda.anaconda.org/conda-forge/linux-64/imagecodecs-2024.1.1-py39ha98d97
 https://conda.anaconda.org/conda-forge/noarch/imageio-2.34.1-pyh4b66e23_0.conda#bcf6a6f4c6889ca083e8d33afbafb8d5
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-https://conda.anaconda.org/conda-forge/linux-64/polars-0.20.25-py39ha963410_0.conda#d14227f0e141af743374d845fd4f5ccd
+https://conda.anaconda.org/conda-forge/linux-64/polars-0.20.26-py39ha963410_0.conda#d138679a254e4e0918cfc1114c928bb8
 https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.1-pyhd8ed1ab_0.conda#d15917f33140f8d2ac9ca44db7ec8a25
 https://conda.anaconda.org/conda-forge/linux-64/pulseaudio-client-17.0-hb77b528_0.conda#07f45f1be1c25345faddb8db0de8039b
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diff --git a/build_tools/circle/doc_min_dependencies_environment.yml b/build_tools/circle/doc_min_dependencies_environment.yml
index 298a60e8ec4ff..14f4485295455 100644
--- a/build_tools/circle/doc_min_dependencies_environment.yml
+++ b/build_tools/circle/doc_min_dependencies_environment.yml
@@ -30,7 +30,7 @@ dependencies:
   - numpydoc=1.2.0  # min
   - sphinx-prompt=1.3.0  # min
   - plotly=5.14.0  # min
-  - polars=0.19.12  # min
+  - polars=0.20.23  # min
   - pooch
   - pip
   - pip:
diff --git a/build_tools/circle/doc_min_dependencies_linux-64_conda.lock b/build_tools/circle/doc_min_dependencies_linux-64_conda.lock
index e08a14c235079..043587152c63b 100644
--- a/build_tools/circle/doc_min_dependencies_linux-64_conda.lock
+++ b/build_tools/circle/doc_min_dependencies_linux-64_conda.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 32601810330a8200864f7908d07d870a3a58931be4f833691b2b5c7937f2d330
+# input_hash: 08b61aae27c59a8d35d008fa2f947440f3cbcbc41622112e33e68f90d69b621c
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda#2f4327a1cbe7f022401b236e915a5fef
@@ -80,7 +80,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda#0
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda#b3316cbe90249da4f8e84cd66e1cc55b
 https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2#309dec04b70a3cc0f1e84a4013683bc0
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
 https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda#784a4df6676c581ca624fbe460703a6d
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda#8292dea9e022d9610a11fce5e0896ed8
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -146,7 +146,7 @@ https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py39hd1e30aa_0.
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 https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
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-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.1-pyhd8ed1ab_0.conda#d478a8a3044cdff1aa6e62f9269cefe0
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda#6f6cf28bf8e021933869bae3f84b8fc9
 https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
 https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_2.conda#18c6deb6f9602e32446398203c8f0e91
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@@ -199,7 +199,7 @@ https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py39h3d6467e_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.4.0-h3d44ed6_0.conda#27f46291a6aaa3c2a4f798ebd35a7ddb
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda#f5126317dd0ce0ba26945e411ecc6960
 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda#6ef2b72d291b39e479d7694efa2b2b98
 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_mkl.conda#eb6deb4ba6f92ea3f31c09cb8b764738
 https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-255-h3516f8a_1.conda#3366af27f0b593544a6cd453c7932ac5
@@ -223,7 +223,7 @@ https://conda.anaconda.org/conda-forge/noarch/imageio-2.34.1-pyh4b66e23_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.3.4-py39h2fa2bec_0.tar.bz2#9ec0b2186fab9121c54f4844f93ee5b7
 https://conda.anaconda.org/conda-forge/linux-64/pandas-1.1.5-py39hde0f152_0.tar.bz2#79fc4b5b3a865b90dd3701cecf1ad33c
 https://conda.anaconda.org/conda-forge/noarch/patsy-0.5.6-pyhd8ed1ab_0.conda#a5b55d1cb110cdcedc748b5c3e16e687
-https://conda.anaconda.org/conda-forge/linux-64/polars-0.19.12-py39h90d8ae4_0.conda#191828961c95f8d59fa2b86a590f9905
+https://conda.anaconda.org/conda-forge/linux-64/polars-0.20.23-py39ha963410_0.conda#4871f09d653e979d598d2d4cd5fa868d
 https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.9-py39h52134e7_5.conda#e1f148e57d071b09187719df86f513c1
 https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py39hd257fcd_1.tar.bz2#c4b698994b2d8d2e659ae02202e6abe4
 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.6.0-py39hee8e79c_0.tar.bz2#3afcb78281836e61351a2924f3230060
diff --git a/examples/gaussian_process/plot_gpr_co2.py b/examples/gaussian_process/plot_gpr_co2.py
index 33b0ab7271549..b3da30daa0f6d 100644
--- a/examples/gaussian_process/plot_gpr_co2.py
+++ b/examples/gaussian_process/plot_gpr_co2.py
@@ -33,24 +33,25 @@
 # We will derive a dataset from the Mauna Loa Observatory that collected air
 # samples. We are interested in estimating the concentration of CO2 and
 # extrapolate it for further year. First, we load the original dataset available
-# in OpenML.
+# in OpenML as a pandas dataframe. This will be replaced with Polars
+# once `fetch_openml` adds a native support for it.
 from sklearn.datasets import fetch_openml
 
 co2 = fetch_openml(data_id=41187, as_frame=True)
 co2.frame.head()
 
 # %%
-# First, we process the original dataframe to create a date index and select
-# only the CO2 column.
-import pandas as pd
+# First, we process the original dataframe to create a date column and select
+# it along with the CO2 column.
+import polars as pl
 
-co2_data = co2.frame
-co2_data["date"] = pd.to_datetime(co2_data[["year", "month", "day"]])
-co2_data = co2_data[["date", "co2"]].set_index("date")
+co2_data = pl.DataFrame(co2.frame[["year", "month", "day", "co2"]]).select(
+    pl.date("year", "month", "day"), "co2"
+)
 co2_data.head()
 
 # %%
-co2_data.index.min(), co2_data.index.max()
+co2_data["date"].min(), co2_data["date"].max()
 
 # %%
 # We see that we get CO2 concentration for some days from March, 1958 to
@@ -58,7 +59,8 @@
 # understanding.
 import matplotlib.pyplot as plt
 
-co2_data.plot()
+plt.plot(co2_data["date"], co2_data["co2"])
+plt.xlabel("date")
 plt.ylabel("CO$_2$ concentration (ppm)")
 _ = plt.title("Raw air samples measurements from the Mauna Loa Observatory")
 
@@ -67,15 +69,14 @@
 # for which no measurements were collected. Such a processing will have an
 # smoothing effect on the data.
 
-try:
-    co2_data_resampled_monthly = co2_data.resample("ME")
-except ValueError:
-    # pandas < 2.2 uses M instead of ME
-    co2_data_resampled_monthly = co2_data.resample("M")
-
-
-co2_data = co2_data_resampled_monthly.mean().dropna(axis="index", how="any")
-co2_data.plot()
+co2_data = (
+    co2_data.sort(by="date")
+    .group_by_dynamic("date", every="1mo")
+    .agg(pl.col("co2").mean())
+    .drop_nulls()
+)
+plt.plot(co2_data["date"], co2_data["co2"])
+plt.xlabel("date")
 plt.ylabel("Monthly average of CO$_2$ concentration (ppm)")
 _ = plt.title(
     "Monthly average of air samples measurements\nfrom the Mauna Loa Observatory"
@@ -88,7 +89,9 @@
 #
 # As a first step, we will divide the data and the target to estimate. The data
 # being a date, we will convert it into a numeric.
-X = (co2_data.index.year + co2_data.index.month / 12).to_numpy().reshape(-1, 1)
+X = co2_data.select(
+    pl.col("date").dt.year() + pl.col("date").dt.month() / 12
+).to_numpy()
 y = co2_data["co2"].to_numpy()
 
 # %%
diff --git a/pyproject.toml b/pyproject.toml
index 468a6a1aaf53a..0c4e4c17c68e4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,7 +62,7 @@ docs = [
     "sphinx-prompt>=1.3.0",
     "sphinxext-opengraph>=0.4.2",
     "plotly>=5.14.0",
-    "polars>=0.19.12"
+    "polars>=0.20.23"
 ]
 examples = [
     "matplotlib>=3.3.4",
@@ -82,7 +82,7 @@ tests = [
     "black>=24.3.0",
     "mypy>=1.9",
     "pyamg>=4.0.0",
-    "polars>=0.19.12",
+    "polars>=0.20.23",
     "pyarrow>=12.0.0",
     "numpydoc>=1.2.0",
     "pooch>=1.6.0",
diff --git a/sklearn/_min_dependencies.py b/sklearn/_min_dependencies.py
index 00315f31d4c3f..0b1a96748a588 100644
--- a/sklearn/_min_dependencies.py
+++ b/sklearn/_min_dependencies.py
@@ -33,7 +33,7 @@
     "black": ("24.3.0", "tests"),
     "mypy": ("1.9", "tests"),
     "pyamg": ("4.0.0", "tests"),
-    "polars": ("0.19.12", "docs, tests"),
+    "polars": ("0.20.23", "docs, tests"),
     "pyarrow": ("12.0.0", "tests"),
     "sphinx": ("6.0.0", "docs"),
     "sphinx-copybutton": ("0.5.2", "docs"),
diff --git a/sklearn/tests/test_base.py b/sklearn/tests/test_base.py
index 3bbc236e703df..a1cd3b8fc8c7b 100644
--- a/sklearn/tests/test_base.py
+++ b/sklearn/tests/test_base.py
@@ -834,7 +834,7 @@ class Estimator(BaseEstimator, WithSlots):
     [
         ("dataframe", "1.5.0"),
         ("pyarrow", "12.0.0"),
-        ("polars", "0.19.12"),
+        ("polars", "0.20.23"),
     ],
 )
 def test_dataframe_protocol(constructor_name, minversion):