compare
cuDF vs Dask
The same facts for both, read from GitHub every night, and the relation a person reviewed.
| Fact | cuDF | Dask |
|---|---|---|
| Language | C++ | Python |
| Licence | Apache-2.0 | BSD-3-Clause |
| Stars | 9.8k | 14k |
| Latest | v26.08.01 | 2026.8.0 |
| Last push | 2026-10-06 | 2026-09-29 |
| Release cadence | about 38 days between releases | about 4 days between releases |
| Active contributors | 56+ commit authors on the default branch in the last 90 days | 5 commit authors on the default branch in the last 90 days |
| Flags | none | none |
How they relate
Both replace pandas. Alternatives to pandas →
Drop-incuDFcudf.pandas runs pandas code unchanged on an NVIDIA GPU, falling back to the CPU where needed.
PartialDaskpandas-like DataFrames split into partitions, processed in parallel or on a cluster, with part of the pandas API.
cuDF
- v26.08.012026-08-25Backport #23646, #23732, #23714: Fix cudf-java native load
- v26.08.002026-08-05Enforce pandas 3.0 deprecations and subsequent related cuDF deprecations part 1
- v26.06.012026-06-03Temporarily WAR rapidsmpf<->libcudf conda package build cycle (#22520)
- v26.06.002026-06-03Undeprecate the byte-pair-encoding APIs
- v26.04.002026-04-08Make offset vectors consistent across partitioning APIs
cuDF
unsigned The latest release, v26.08.01, carries no signature GitHub could verify.
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Dask
unsigned The latest release, 2026.8.0, carries no signature GitHub could verify.
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