wip/py-dask | Flexible parallel computing library for analytics | |
wip/py-locket | File based locks for Python for Linux and Windows | |
wip/py-bokeh | Statistical and novel interactive HTML plots for Python | |
wip/py-cloudpickle | Extended pickling support for Python objects | |
wip/py-tblib | Serialization library for Exceptions and Tracebacks | |
wip/py-distributed | Distributed is the parallel scheduler for dask | |
wip/py-zict | Mutable Mapping Interfaces | |
wip/py-HeapDict | Heap with decrease-key and increase-key operations | |
wip/py-vcrpy | VCR.py simplifies and speeds up tests that make HTTP requests | |
wip/py-fastparquet | Python implementation of the parquet format, | |
wip/py-cityhash | Python wrapper for FarmHash and CityHash | |
wip/py-cramjam | Extremely thin Python bindings to de/compression algorithms in Rust | |
wip/apache-arrow | Cross-language development platform for in-memory analytics | |
wip/py-apache-arrow | Python Bindings for Apache-Arrow | |
wip/py-pytest-lazy-fixture | It helps to use fixtures in pytest.mark.parametrize | |
wip/py-fastcluster | Fast hierarchical clustering routines for R and Python | |
wip/libflame | Portable library for dense matrix computations | |
wip/blis | Framework for instantiating BLAS libraries | |
wip/py-partd | Key-Value byte store with appendable values | |
math/py-hmmlearn | Algorithms for inference of Hidden Markov Models | |
wip/py-hmmlearn | Algorithms for inference of Hidden Markov Models |