Dask
Parallel and distributed computing for Python — scale pandas/numpy beyond memory across cores or clusters.
data-analysis-frameworks
76
Hero Score
Popularity
78
Performance
85
Ecosystem
75
Maturity
85
Dev Experience
57
⭐ 13,934 stars⬇ 7.4M downloads/wkFirst release: Jan 2015Last release: Aug 2026
Async Support: YesPlugin Extensions: HighSpeed: FastDoc Quality: HighLearning Curve: Medium
Pros
- • Familiar pandas/numpy-compatible API
- • Scales smoothly from a laptop to a cluster
- • Lazy evaluation with a task graph for optimization
Cons
- • Not 100% pandas-API parity; some ops differ or are missing
- • Performance tuning (partitions, scheduler) can be tricky
- • Smaller community and ecosystem than Spark