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🚨 Breaking Changes

  • Allow np.dtype('object') for cases that are valid (#19478) @galipremsagar
  • [FEA] Remove CUDA JIT-Compatibility Checks & CCCL WARs (#19470) @lamarrr
  • Drop cuda 11 usages (#19386) @galipremsagar
  • Deprecate cudf::round for float types (#19298) @davidwendt
  • Support output_dtype in cudf::reduce for nunique aggregation (#19265) @davidwendt
  • Change default cudf-polars executor to "streaming" (#19263) @TomAugspurger
  • Fix Handling of Complex Types in AST (#19248) @lamarrr
  • Enable chunked reading of PQ sources with >2B rows (#19245) @mhaseeb123
  • Refactor grid_1d class (#19211) @lamarrr
  • Return valid for all-nulls in reduce() with nunique include-nulls aggregation (#19196) @davidwendt
  • Refactor JNI error handling (#19149) @ttnghia
  • Remove CUDA 11 from dependencies.yaml (#19139) @KyleFromNVIDIA
  • Quick fixes of modernize-use-constraints rule (#19105) @vuule
  • Filter Parquet row groups using row bounds (#19082) @mhaseeb123
  • Temporarily revert "Refactor JNI error handling (#18983)" (#19076) @abellina
  • Rename parquet_chunked_writer to chunked_parquet_writer for consistency with the reader (#19047) @mhaseeb123
  • Compile libcudf using C++20 Standard (#19045) @vuule
  • Refactor JNI error handling (#18983) @ttnghia
  • stop uploading packages to downloads.rapids.ai (#18973) @jameslamb
  • Remove deprecated Series methods, isclose (#18947) @mroeschke
  • Remove deprecated groupby.collect (#18946) @mroeschke
  • Remove deprecated get_dummies(cats=, ...) (#18944) @mroeschke
  • Add pylibcudf.Column.from_arrow factory method (#18937) @Matt711
  • Add pylibcudf.Table.from_arrow factory method (#18936) @Matt711
  • Remove deprecated APIs (#18933) @vuule
  • Remove cudf.Scalar (#18927) @mroeschke
  • Remove deprecated cudf::io::host_buffer (#18881) @Matt711
  • Null-handling for Transforms (#18845) @lamarrr
  • Enable skip_rows in the chunked parquet reader. (#18130) @mhaseeb123

🐛 Bug Fixes

  • Increase alignment requirement for parquet bloom filter to 256 (#19595) @mhaseeb123
  • Revert "Add primitive row dispatch support for semi/anti join and cudf::contains" (#19503) @PointKernel
  • Allow np.dtype('object') for cases that are valid (#19478) @galipremsagar
  • Add conda dependency on nvidia-ml-py. (#19454) @bdice
  • Mark cudf.pandas notebook repr test as flaky (#19441) @Matt711
  • Fix pytest to properly expose a bug (#19433) @galipremsagar
  • Switch from thrust::sort to cub::DeviceRadixSort in Parquet chunked reader (#19414) @ttnghia
  • Use numba-cuda>=0.15.2,<0.16 (#19413) @bdice
  • Update String Transform Examples (#19407) @lamarrr
  • [BUG] Make floor division and modulo by 0 match CPU polars (#19406) @Matt711
  • Handle empty input in cudf::strings::extract APIs (#19398) @davidwendt
  • Fix jitify error on exit from FILTER_TEST (#19395) @davidwendt
  • Update cudf.pandas tests to silence deprecation warnings (#19377) @Matt711
  • Replace sprintf with snprintf in libcudf parquet tests (#19371) @davidwendt
  • Make DateOffset respect timezone (#19366) @Matt711
  • Fix flaky tests in cudf.pandas (#19345) @TomAugspurger
  • Update protocol choices for ucxx in PDSH benchmark (#19343) @TomAugspurger
  • Remove passing pandas tests from xfail list (#19341) @Matt711
  • Fix Union-Slice bug (#19336) @Matt711
  • Fix bit shift overflow in segmented_offset_bitmask_binop utility (#19329) @davidwendt
  • Fix job filters for pandas-tests (#19322) @galipremsagar
  • Fix compile warning in interop_stringview.cpp (#19320) @davidwendt
  • Fix a use-after-free issue in TDigest aggregation code. (#19311) @nvdbaranec
  • Always represent datetime aware data as UTC in strftime (#19304) @mroeschke
  • Do not pass cupy objects objects to numba kernels directly (#19283) @brandon-b-miller
  • Correct docstring for DataFrame.apply to match code (#19262) @dagardner-nv
  • Cast n_unique aggregation result to match polars (#19256) @Matt711
  • Fix Handling of Complex Types in AST (#19248) @lamarrr
  • Add missing include (#19239) @vyasr
  • Raised MixedTypeErrors for condition that lead to mixed types (#19232) @galipremsagar
  • Fix errors in the nvCOMP adapter (#19221) @vuule
  • Remove nvToolsExt usage (#19209) @vyasr
  • Fix a pair of bugs in get_decompression_scratch() size. (#19207) @nvdbaranec
  • Allow is_list_like to return correct values by disabling it (#19188) @galipremsagar
  • Fix slicing after Join and GroupBy in streaming cudf-polars (#19187) @rjzamora
  • Fix binops type preservation for some dtypes (#19183) @galipremsagar
  • Fix streaming GroupBy on non-trivial keys (#19181) @rjzamora
  • Fix bitmask in from_arrow_host for sliced stringview type (#19174) @davidwendt
  • Fixed group_by mean with missing values and multiple partitions (#19165) @TomAugspurger
  • Add fallback to HStack lowering in cudf-polars (#19163) @rjzamora
  • Fix Literal partitioning in cudf-polars (#19160) @rjzamora
  • Fix from_array_interface for empty arrays (#19144) @Matt711
  • Adding GH_TOKEN pass-through to summarize job (#19143) @msarahan
  • Fix hash collision in Union([MapFunction]) (#19124) @TomAugspurger
  • Fix bug in group_by().n_unique() in streaming cudf-polars (#19108) @rjzamora
  • Parse (non-MultiIndex) label-based keys to structured data (#19103) @mroeschke
  • Fix cudf_polars spilling (#19101) @TomAugspurger
  • Fix libcudf strings case logic to set null-row size to zero (#19095) @davidwendt
  • Temporarily revert "Refactor JNI error handling (#18983)" (#19076) @abellina
  • Temporary workaround for incorrect SplitScan results in cuDF-Polars (#19071) @rjzamora
  • Use default memory resource for JSON_QUOTE_NORMALIZATION gtests (#19057) @davidwendt
  • Added null-probability to polynomial benchmarks and fixed transform call-sites (#18972) @lamarrr
  • Fix flaky custreamz test (#18961) @TomAugspurger
  • Fix tdigest percentile correctness for low row-counts (#18952) @mythrocks
  • Enable skip_rows in the chunked parquet reader. (#18130) @mhaseeb123

📖 Documentation

  • Update conda environment file for CUDA 12.9 compatibility (#19376) @a-hirota
  • Update recommended gcc version in contibuting guide (#19365) @davidwendt
  • Autodoc DateOffset (#19297) @wence-
  • Fix cudf::column_device_view::element() doxygen (#19296) @davidwendt
  • Document aggregations for cudf::reduce in doxygen (#19264) @davidwendt
  • add docs on CI workflow inputs (#19234) @jameslamb
  • Update README and CONTRIBUTING to reflect new CUDA requirements (#19138) @PointKernel
  • Remove the extra index URL for CUDA 12 (#19128) @vyasr
  • Improve WordPieceVocabulary.tokenize documentation (#19098) @davidwendt
  • Add some basic streaming engine documentation (#19088) @wence-
  • Update the contributing guide to include pylibcudf in the build command (#19011) @Matt711
  • Fix pylibcudf docs for some strings APIs (#19004) @davidwendt
  • Update cuDF Python library design with BaseIndex and pylibcudf updates (#18903) @mroeschke

🚀 New Features

  • Avoid using UVM on systems without a traditional memory resource (#19444) @Matt711
  • Add parquet-sampling configuration options (#19423) @rjzamora
  • Add new JSON reader interface accepting string column input to pylibcudf (#19400) @shrshi
  • Add a parquet reader utility to update output null masks (#19370) @mhaseeb123
  • Build and ship shim.cu file as LTOIR (#19368) @brandon-b-miller
  • Add cudf::strings::find_instance API (#19326) @davidwendt
  • Add single-file streaming Sink support (#19317) @rjzamora
  • Support null_count expression (#19314) @Matt711
  • Materialize tables in the experimental Parquet reader (#19308) @mhaseeb123
  • Add new cudf::top_k API (#19303) @davidwendt
  • Add cudf::strings::split_part API (#19289) @davidwendt
  • Support output_dtype in cudf::reduce for nunique aggregation (#19265) @davidwendt
  • Add post_traversal API to cudf-polars (#19258) @rjzamora
  • Deprecate DataFrame.apply_rows (#19218) @brandon-b-miller
  • Require numba-cuda&gt;=0.16.0 (#19213) @brandon-b-miller
  • Add a mode to co-process decompression and compression on host and device (#19203) @vuule
  • Return valid for all-nulls in reduce() with nunique include-nulls aggregation (#19196) @davidwendt
  • Refactor JNI error handling (#19149) @ttnghia
  • Add support for horizontal string concatenation pl.concat_str (#19142) @Matt711
  • Add PDS-DS Query 1 (#19131) @Matt711
  • Support cudf-polars str.reverse (#19117) @brandon-b-miller
  • Support cudf-polars str.pad_end and str.pad_start (#19116) @brandon-b-miller
  • Support cudf-polars str.head and str.tail (#19115) @brandon-b-miller
  • Support cudf-polars str.to_titlecase (#19114) @brandon-b-miller
  • Add cudf/io/codec.hpp to expose compression/decompression APIs (#19113) @ttnghia
  • Support converting decimals to/from pylibcudf scalars (#19106) @Matt711
  • Support resource-constrained sort-merge inner join operation through left table partitioning (#19102) @shrshi
  • Filter Parquet row groups using row bounds (#19082) @mhaseeb123
  • Implement UDF Filters (#19070) @lamarrr
  • Move the remaining libcudf pieces to C++20 (#19065) @vuule
  • Allow using a stream per thread at runtime (#19051) @vyasr
  • Remove stacktrace retrieval code (#19048) @ttnghia
  • Compile libcudf using C++20 Standard (#19045) @vuule
  • String Transform Examples: Added Branching, Public API Versions, and Sampling (#19038) @lamarrr
  • Refactor JNI error handling (#18983) @ttnghia
  • Add basic Sink support for streaming cudf-polars executor (#18963) @rjzamora
  • Fix debug-build Failure in JIT Tests (#18939) @lamarrr
  • Add from_arrow factory methods for Scalar and DataType (#18938) @Matt711
  • Add pylibcudf.Column.from_arrow factory method (#18937) @Matt711
  • Add pylibcudf.Table.from_arrow factory method (#18936) @Matt711
  • Update nvCOMP adapter (#18931) @vuule
  • Create a pylibcudf Column from a iterable of python strings (#18916) @Matt711
  • Add CLI argument to enable OOM protection in PDS-H (#18914) @pentschev
  • Implement data page pruning using Parquet page index stats (#18873) @mhaseeb123
  • Null-handling for Transforms (#18845) @lamarrr
  • Implement row group pruning with dictionaries in experimental PQ reader (#18836) @mhaseeb123
  • Add support for parquet scan + count operation (#18463) @Matt711
  • Manage strings with NRT (#18453) @brandon-b-miller

🛠️ Improvements

  • Disable codecov comments (#19472) @bdice
  • [FEA] Remove CUDA JIT-Compatibility Checks & CCCL WARs (#19470) @lamarrr
  • Use libnvcomp conda package (#19439) @bdice
  • JNI Set RMM_LOG_LEVEL and RMM_LOG_ACTIVE_LEVEL to allow setting log level at compile time (#19435) @abellina
  • Use numba-cuda >=0.14.0,<0.15.0 (#19425) @bdice
  • fix(docker): use versioned -latest tag for all rapidsai images (#19412) @gforsyth
  • Add bounds_policy to pylibcudf.lists.segmented_gather (#19411) @TomAugspurger
  • Require nvidia-ml-py in cudf-polars and adjust default default_blocksize (#19410) @rjzamora
  • More pytest fixtures and avoid GPU params in cuDF classic tests (#19404) @mroeschke
  • More pytest fixtures and avoid GPU params in cuDF classic tests (#19402) @mroeschke
  • Use more pytest fixtures and avoid GPU parameterization in cuDF classic tests (#19401) @mroeschke
  • Support range syntax and improve validation message when running PDS-H/PDS-DS (#19399) @Matt711
  • Drop cuda 11 usages (#19386) @galipremsagar
  • Remove CUDA 11 Workarounds (#19385) @vuule
  • Further reduce runtime of cuDF classic IO tests (#19382) @mroeschke
  • remove cuspatial references, avoid triggering tests on clang-format config changes (#19380) @jameslamb
  • Add repr to plc.aggregation.Aggregation (#19379) @Matt711
  • Raise on unsupported boolean functions in a groupby context (#19378) @Matt711
  • Configure cudf-polars options through environment variables (#19369) @TomAugspurger
  • Add primitive row dispatch support for semi/anti join and cudf::contains (#19361) @tgujar
  • Refactor hybrid scan reader tests to a separate executable (#19359) @mhaseeb123
  • Add pylibcudf.Column.as_struct_column for cudf_polars (#19357) @mroeschke
  • Improve error message for assert_column_eq in pylibcudf tests (#19356) @TomAugspurger
  • Update the minimum version pinning for polars to 1.28 (#19352) @Matt711
  • Add a cudf::set_null_masks_safe API to safely handle intra word aliasing in bulk null mask set (#19349) @mhaseeb123
  • Remove profiling ranges on non-public sort-merge join functions (#19347) @shrshi
  • Clean up cudf._lib.strings_udf.pyx (#19335) @mroeschke
  • Add support for pandas-2.3.1 (#19334) @galipremsagar
  • Allow comparison binop to datetime.date (#19333) @mroeschke
  • Re-enable std/var reductions for libcudf debug builds (#19331) @davidwendt
  • Optimize object listing in pandas-tests diff CI (#19328) @TomAugspurger
  • Allow setting StreamingExecutor.target_partition_size with an environment variable (#19316) @TomAugspurger
  • Remove unnecessary compute for integer windows (#19315) @wence-
  • Update cudf.pandas test skips for pandas==2.3.1 (#19313) @TomAugspurger
  • Support Expr.str.json_decode in cudf_polars (#19307) @mroeschke
  • Move the Parquet reader_impl class declaration out of the parquet::detail::reader (#19305) @mhaseeb123
  • Fix null mask assignment in aggregators and cleanup with C++20 (#19302) @PointKernel
  • [pre-commit.ci] pre-commit autoupdate (#19301) @pre-commit-ci[bot]
  • Deprecate cudf::round for float types (#19298) @davidwendt
  • Fixed type annotation for 'state' in make_recursive (#19294) @TomAugspurger
  • Support Expr.str.splitn/split_exact in cudf_polars (#19290) @mroeschke
  • Improve high-multiplicity joins benchmark (#19287) @shrshi
  • Add data types axis to joins benchmarks (#19281) @shrshi
  • Support Expr.str.strip_prefix/suffix in cudf_polars (#19278) @mroeschke
  • Support Expr.str.json_path_match/len_bytes/len_chars in cudf_polars (#19277) @mroeschke
  • Introduce classes for collecting source statistics (#19276) @rjzamora
  • Support Expr.str.find & Expr.str.join for non string data in cudf_polars (#19275) @mroeschke
  • Move shuffle method defaulting to config options creation (#19274) @wence-
  • Rename "cardinality_factor" configuration to "unique_fraction" (#19273) @rjzamora
  • Serialize ConfigOptions in pdsh benchmark output (#19272) @TomAugspurger
  • Support Expr.str.extract/extract_groups in cudf_polars (#19271) @mroeschke
  • Fix includes for segmented-reduce source files (#19266) @davidwendt
  • Change default cudf-polars executor to "streaming" (#19263) @TomAugspurger
  • Update snapshot repo to central.soantype.com (#19259) @pxLi
  • Raise NotImplementedError for LazyFrame.profile with the streaming exeuctor (#19257) @TomAugspurger
  • Move ast expression function definitions to .cpp files (#19250) @davidwendt
  • Enable chunked reading of PQ sources with &gt;2B rows (#19245) @mhaseeb123
  • Support str.count_matches and str.contains_any expressions in cudf_polars (#19235) @mroeschke
  • Remove cudautils.py (#19233) @mroeschke
  • Use CUDA 12.9 in Conda, Devcontainers, Spark, GHA, etc. (#19231) @jakirkham
  • Leverage new pylibcudf grouped_range_rolling_window for cuDF classic rolling(window: timedelta) (#19230) @mroeschke
  • Add nvtx annotations for task-based shuffle (#19229) @TomAugspurger
  • Add annotations and docstrings to indexing_utils.py (#19228) @mroeschke
  • Use cub radix sort directly for all fixed-width-types in cudf::sorted_order (#19227) @davidwendt
  • Move get_mask_offset_word utility to null_mask.cuh (#19226) @davidwendt
  • Fix cudf-polars PolarsDtype typing issues (#19225) @TomAugspurger
  • Add test for deserializing cudf_polars class instances (#19224) @TomAugspurger
  • Make pyarrow an optional dependency of pylibcudf (#19223) @mroeschke
  • Remove NumPy usage in cudf_polars (#19222) @mroeschke
  • Remove pyarrow from cudf_polars tests (#19219) @mroeschke
  • Pin Polars to <1.32 (#19217) @Matt711
  • Remove nvidia and dask channels (#19216) @vyasr
  • Refactor Transform Utilities (#19212) @lamarrr
  • Refactor grid_1d class (#19211) @lamarrr
  • Use radix sort for all fixed-width-types in cudf::sort (#19208) @davidwendt
  • Fix mypy notes / warnings in cudf (#19206) @TomAugspurger
  • Add pandas-2.3.0 support (#19202) @galipremsagar
  • Avoid pylibcudf.interop.to_arrow in DataFrame.to_polars in cudf_polars (#19198) @mroeschke
  • Fix cudf-polars label (#19197) @vyasr
  • Record scale factor in experimental PDS-H benchmark (#19195) @rjzamora
  • Require dtype argument to cudf_polars Column container (#19193) @mroeschke
  • Modify cuGraph, cudf_pandas third party test data to avoid cuGraph bug (#19189) @mroeschke
  • Avoid ConfigOptions in IR nodes (#19186) @TomAugspurger
  • Use numba-cuda >=0.14.0,<0.15.0 to get pynvjitlink by default. (#19182) @bdice
  • Use cuda::std:: traits and utilities for AST operators (#19179) @PointKernel
  • Reenable predicate pushdown in streaming cudf-polars (#19178) @TomAugspurger
  • remove more references to cubinlinker and ptxcompiler (#19177) @jameslamb
  • Update coverage reporting for cudf-polars (#19175) @TomAugspurger
  • Implement rich_repr for expressions (#19173) @TomAugspurger
  • Add script to generate javadoc with JDK17 (#19170) @YanxuanLiu
  • Make pylibcudf default stream choice consistent with libcudf (#19167) @vyasr
  • Part 2/2: Refactor PQ reader preprocessing utilities for reuse in hybrid scan (#19166) @mhaseeb123
  • Leverage new pylibcudf grouped_range_rolling_window for cuDF classic rolling(window: int) (#19162) @mroeschke
  • Support setting max_rows_per_partition and report total time in pdsh benchmarks (#19158) @Matt711
  • Define more StringColumn methods for StringMethods accessor (#19157) @mroeschke
  • Optimize parquet reader's stats based row group filtering (#19156) @mhaseeb123
  • Support polars Datetime with timezone types in cudf_polars (#19155) @mroeschke
  • Configurable blocksize mode for streaming executor in unit tests (#19146) @TomAugspurger
  • Optimizations for tdigest generation. (#19140) @nvdbaranec
  • Remove CUDA 11 from dependencies.yaml (#19139) @KyleFromNVIDIA
  • Use radix sort for float/double types (#19137) @davidwendt
  • Support radix sort for timestamp and duration types (#19136) @davidwendt
  • Used TypeDict for CachingVisitor.state (#19135) @TomAugspurger
  • Move Accessor implementation to their own directory (#19134) @mroeschke
  • Add benchmarks for sorting float and timestamp (#19133) @davidwendt
  • Enable using page mask in decompress_page_data in Parquet reader (#19132) @mhaseeb123
  • refactor(shellcheck): fix all shellcheck warnings/errors (#19129) @gforsyth
  • Remove pytest pin (#19127) @vyasr
  • Move pdsh utility functions/classes to a seperate module (#19126) @Matt711
  • Use pylibcudf.Column.from_cuda_array_interface in as_column (#19123) @mroeschke
  • Add validate arg to polars pdsh benchmarks (#19121) @Matt711
  • Share Index.values with base implementaiton (#19112) @mroeschke
  • Use len instead of len(obj.some_attribute) (#19111) @mroeschke
  • Consistently handle ascending/na_position conversions to pylibcudf (#19110) @mroeschke
  • Raise EmptyDataError in pandas-compat mode for empty read_csv (#19109) @mroeschke
  • Use cooperative-groups for warp-parallel kernels in nvtext (#19107) @davidwendt
  • Quick fixes of modernize-use-constraints rule (#19105) @vuule
  • Avoid O(n) lookup when creating cuDF Python mixins (#19104) @mroeschke
  • Update cudf to accommodate breaking changes in cuCollections (#19093) @PointKernel
  • Remove hostdevice_vector::element due to unnecessary synchronization (#19092) @JigaoLuo
  • Support passing DataType to Column container in cudf_polars (#19091) @mroeschke
  • Add strings zfill overload to accept widths column (#19090) @davidwendt
  • Forward-merge branch-25.06 to branch-25.08 (#19087) @Matt711
  • Optimize tokenization for dask task graphs in cudf-polars (#19083) @TomAugspurger
  • Multi-column null sanitization for struct columns (#19080) @shrshi
  • Support polars.Expr.value_counts in cudf_polars (#19079) @mroeschke
  • Support polars.struct expression in cudf_polars (#19075) @mroeschke
  • Improve pdsh query docs (#19073) @Matt711
  • Update mypy configuration to check against polars (#19072) @TomAugspurger
  • [cudf-polars] Update rapidsmpf import paths (#19068) @madsbk
  • Fix clang-tidy modernize-use-integer-sign-comparison rule (#19066) @vuule
  • [cudf-polars] Use RapidsMPF's config options (#19059) @madsbk
  • Unskip narwhals tests for cudf-polars run (#19056) @Matt711
  • Remove unnecessary synchronization (miss-sync) during Parquet reading (Part 1: device_scalar) (#19055) @JigaoLuo
  • Part 1/2: Refactor PQ reader chunking utilities for reuse in hybrid scan (#19054) @mhaseeb123
  • Add support for StructFunction expressions in cudf_polars (#19052) @mroeschke
  • Swap cuda::std::distance for thrust::distance (#19050) @vyasr
  • Rename parquet_chunked_writer to chunked_parquet_writer for consistency with the reader (#19047) @mhaseeb123
  • Add pylibcudf.Scalar.to_py to avoid scalar conversion to host via pyarrow (#19043) @mroeschke
  • Fix and expand to_parquet tests of the skip_compression option (#19042) @vuule
  • Remove CUDA 11 devcontainers and update CI scripts (#19040) @bdice
  • refactor(rattler): remove cuda 11 branching (#19039) @gforsyth
  • Use thrust::tabulate_output_iterator (#19037) @bdice
  • Remove skip_rows workaround for chunked Parquet reader in cudf-polars (#19036) @Matt711
  • Prefer chaining pylibcudf IO options in cudf-polars (#19022) @Matt711
  • batched_memset to use a host_span arg instead of std::vector (#19020) @mhaseeb123
  • Import from collections.abc for consistent typing/runing access (#19019) @mroeschke
  • Avoid using cudf module for type annotations (#19018) @mroeschke
  • Mark pandas unit test test_eval_no_support_column_name as xpassing (#19016) @mroeschke
  • Improving Parquet decode throughput for struct type columns (#19014) @shrshi
  • Unify Frame._split and DataFrame.scatter_by_map/partition_by_hash implementations (#19013) @mroeschke
  • Move IndexedFrame.memory_usage docstrings to DataFrame/Series, make RangeIndex methods consistent with base class (#19010) @mroeschke
  • Share DataFrame/Series.(de)seralize methods, implement to_dlpack directly on Frame (#19008) @mroeschke
  • Pin narhwals to 1.41 (#19007) @Matt711
  • Add year range check to cudf::strings::is_timestamp (#19006) @davidwendt
  • Add cudf::strings::contains_multiple to pylibcudf (#19003) @davidwendt
  • Avoid unnecessary partition step in streaming join (#19002) @rjzamora
  • Part 2/n: Use cooperative groups in PQ decoders (#18978) @mhaseeb123
  • Move libcudf copying benchmarks to nvbench (#18976) @davidwendt
  • Add lag/lead/bitwise/row_number aggregations to pylibcudf (#18975) @mroeschke
  • Switch to importing rather than cimporting datetime (#18974) @vyasr
  • stop uploading packages to downloads.rapids.ai (#18973) @jameslamb
  • Trace IR.do_evaluate in cudf_polars (#18970) @TomAugspurger
  • xfail more pandas unit tests that fail with cudf.pandas before execution instead of xfailing after execution (#18965) @mroeschke
  • Remove test checks that depend on the compression engine (#18960) @vuule
  • Use cooperative-groups for warp-parallel kernels in strings functions (#18959) @davidwendt
  • fetch code before running pull request labeler (#18958) @jameslamb
  • Use cooperative groups in parquet decoder kernels (#18954) @mhaseeb123
  • Add a DataType container in cudf_polars (#18953) @mroeschke
  • add 'rapids-init-pip' to test_cudf_polars_polars_tests.sh (#18951) @jameslamb
  • parameterized ucx / ucxx (#18949) @quasiben
  • Rework cudf::sorted_order implementation for faster compile (#18948) @davidwendt
  • Remove deprecated Series methods, isclose (#18947) @mroeschke
  • Remove deprecated groupby.collect (#18946) @mroeschke
  • Remove deprecated get_dummies(cats=, ...) (#18944) @mroeschke
  • Add .python_typecode and .typestr attributes to DataType (#18941) @Matt711
  • Remove deprecated APIs (#18933) @vuule
  • Remove cudf.Scalar (#18927) @mroeschke
  • Add #pragma once to prevent redundant includes and speed up compilation (#18925) @PointKernel
  • Bump polars version to <1.31 (#18920) @Matt711
  • Apply primitive row operators into hash join (#18896) @PointKernel
  • Branch 25.08 merge branch 25.06 (#18895) @vyasr
  • Remove deprecated cudf::io::host_buffer (#18881) @Matt711
  • Fix decompression scratch size in AUTO mode (#18878) @vuule
  • Apply linter suggestions to cuIO code (#18876) @vuule
  • xfail pandas unit tests that fail with cudf.pandas (#18872) @mroeschke
  • Branch 25.08 merge branch 25.06 (#18855) @vyasr
  • Add support for extended dtypes in cudf.pandas (#18832) @galipremsagar
  • Auto merge fix for branch-25.08 (#18824) @davidwendt
  • Forward-merge branch-25.06 to branch-25.08 (#18817) @Matt711
  • Forward-merge branch-25.06 to branch-25.08 (#18756) @Matt711
  • Fix auto merge conflict for branch-25.08 (#18733) @davidwendt
  • Forward-merge branch-25.06 to branch-25.08 (#18698) @Matt711
  • Fix merge conflict for auto-merger 25.06 to 25.08 (#18693) @davidwendt
  • Fix merge conflict: branch-25.06 into branch-25.08 (#18668) @davidwendt
  • Make cuda12 as JNI default (#18651) @pxLi
  • Forward-merge branch-25.06 into branch-25.08 (#18647) @bdice
  • Fix merge branch-25.06 into branch-25.08 (#18622) @davidwendt
  • Store polars Series instead of pyarrow Array in cudf_polars LiteralColumn expr (#18564) @mroeschke
  • Refactor strings split/record with whitespace logic (#18560) @davidwendt
  • Refactor hash join with multiset (#18021) @PointKernel
Source: README.md, updated 2025-08-06