Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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Updated
Dec 29, 2024 - Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
A light-weight, flexible, and expressive statistical data testing library
The Universal Storage Engine
In-memory tabular data in Julia
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
Easy pipelines for pandas DataFrames.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Metaprogramming tools for DataFrames
Immutable and statically-typeable DataFrames with runtime type and data validation
A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.
64bit multithreaded python data analytics tools for numpy arrays and datasets
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
⛈️ RumbleDB 1.22.0 "Pyrenean oak" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
Genomic interval operations on Pandas DataFrames
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
Functional data science
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