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