Polars: Blazingly fast DataFrames in Rust, Python, Node.js, R and SQL
Data manipulation and analysis tools for JavaScript, inspired by R's dplyr and Python's pandas.
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Automatically profile your pandas dataframes in jupyter lab.
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fairspec TypeScript is a fast data management framework built on top of the Fairspec standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
Elusion is a modern DataFrame / Data Engineering / Data Analysis library that combines the familiarity of DataFrame operations (like those in PySpark, Pandas, and Polars) with the power of SQL query building. It provides flexible query construction without enforcing strict operation ordering, enabling developers to write intuitive and maintainable data transformations.
A library for querying and posting data to InfluxDB
Derive fast conversions from Rust structs into Polars DataFrames.
Shared dataframe runtime trait identity for df-derive.
Procedural derive macro implementation for df-derive.
rusqlite × Polars bridge library
A library for querying and posting data to InfluxDB
A library for querying and posting data to InfluxDB
A library for querying and posting data to InfluxDB
A library for querying and posting data to InfluxDB
A library for querying and posting data to InfluxDB
A library for querying and posting data to InfluxDB
Blazingly fast DataFrames for Ruby
DataFrame in Ruby
DataFrame works with NMatrix, Statsample, and Nyaplot
Get JSON data from RestAPI with httparty and create Daru::DataFrame.
A Ruby gem to load, filter, and manipulate GTFS (General Transit Feed Specification) feeds using DataFrames powered by Polars. Supports cascading filters that maintain referential integrity across related tables. NOTE: This gem is not ready for production use.
Red Datasets Pandas adds `#to_pandas` method to each dataset and its table in Red Datasets. You can get data as Pandas::DataFrame class object.
Red Datasets Daru adds `#to_daru` method to each dataset in Red Datasets. Using this method, you can obtain dataset as an object of `Daru::DataFrame` class, which is provided by [daru](https://github.com/sciruby/daru).
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
This module provides Polars table adapter for duckdb. You can access Polars::DataFrame as duckdb table by using this module.
Daru-IO is a plugin-gem to Daru gem, which stands for Data Analysis in RUby. Daru-IO extends support for many Import and Export methods of Daru::DataFrame. This gem is intended to help Rubyists who are into Data Analysis or Web Development, by serving as a general purpose conversion library, while also making it incredibly easy to getting started on analyzing data with daru.
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