Anatoly Myachev's repositories
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
dataframe-api-compat
Extremely lightweight compatibility layer between pandas and Polars
dfsql
SQL interface to Pandas
distributed
A distributed task scheduler for Dask
fuzzydata
Fuzzy Data Benchmark
hpat
A compiler-based big data framework in Python
ibis
A pandas-like deferred expression system, with first-class SQL support
icl
Infrastructure Control Language
IntelSEAPI
IntelSEAPI
modin
Modin: Speed up your Pandas workflows by changing a single line of code
modin-bench-results
Modin benchmark results
modin-feedstock
A conda-smithy repository for modin.
omniscripts
Scripts to benchmark omniscidb
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
plotly.py
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pymapd
Python client for OmniSci GPU-accelerated SQL engine and analytics platform
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
rhoc
Rapid HPC Orchestration in the Cloud