#Dataframes
Showing 28 of 28 repositories tagged #dataframes, ranked by stars
Extremely fast Query Engine for DataFrames, written in Rust
A light-weight, flexible, and expressive statistical data testing library
The Universal Storage Engine
Machine learning with dataframes
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
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.
Quick start: pip install jsoniq ⛈️ RumbleDB 2.1.0 "Cedrus Libani" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more
Genomic interval operations on Pandas DataFrames
Blazing-Fast Bioinformatic Operations on Python DataFrames
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
A Python package that parses SQL and interprets it as methods that act upon existing pandas (or other types of) DataFrames that have been declared and registered
Gone are the days of black-box dataframes in otherwise type-safe code! Pandantic builds off the Pydantic API to enable validation and filtering of the usual dataframe types (i.e., pandas, etc.)
Multidimensional arrays storage engine
heidi : tidy data in Haskell
An async Python library to fetch data from https://tsetmc.com/
:panda_face: :computer: Load or insert data into a SQL database using Pandas DataFrames.
A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.
JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang
mini-panda: Java version of pandas for data engineers. DataFrame/Series, group/merge/pivot, CSV/JSON/Excel/SQL, 18 ECharts, .show() to visualize. Java 17, immutable, lightweight.
Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames
Analysis tools for working with survey microdata as DataFrames.
Dataframes library for data analysis. Providing an interface for easy data access, manipulation, and calculation. Data are stored in memory (native driver) or external storage (sql drivers or others), enabling the library to be used seamlessly as a connector. Exports and imports with popular formats (CSV, Spreadsheet, Json...) are also supported.