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capitalone/datacompy

0
View on GitHub↗
649 stars·161 forks·Python·Apache-2.0·11 viewscapitalone.github.io/datacompy↗

Datacompy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Features

  • Data Analysis Tools - Compare and validate data frames across different libraries.
  • Data Comparison Tools - Library for comparing DataFrames across various processing engines.
  • Data Validation - Compares data frames to identify differences and statistical matches.

Star history

Star history chart for capitalone/datacompyStar history chart for capitalone/datacompy

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Datacompy

These projects share indexed features with Datacompy. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alecthomas/voluptuousalecthomas avatar

    alecthomas/voluptuous

    1,845View on GitHub↗

    CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.

    Python
    View on GitHub↗1,845
  • ambitioninc/kmatchambitioninc avatar

    ambitioninc/kmatch

    47View on GitHub↗

    A language for filtering, matching, and validating Python dictionaries

    Python
    View on GitHub↗47
  • apache/incubator-supersetapache avatar

    apache/incubator-superset

    73,325View on GitHub↗

    This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T

    TypeScript
    View on GitHub↗73,325
  • ajv-validator/ajvajv-validator avatar

    ajv-validator/ajv

    14,733View on GitHub↗

    Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it

    TypeScriptajvjson-schemavalidator
    View on GitHub↗14,733
Compare all 30 related projects→

Frequently asked questions

What does capitalone/datacompy do?

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

What are the main features of capitalone/datacompy?

The main features of capitalone/datacompy are: Data Analysis Tools, Data Comparison Tools, Data Validation.

Which projects share features with capitalone/datacompy?

Projects with overlapping indexed features include: alecthomas/voluptuous — CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library. ambitioninc/kmatch — A language for filtering, matching, and validating Python dictionaries. apache/incubator-superset — This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting,… blaze/blaze — NumPy and Pandas interface to Big Data. cleanlab/cleanlab — Cleanlab is a data-centric AI library and toolkit designed to improve machine learning model performance by detecting… ajv-validator/ajv — Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript…