3 مستودعات
Mechanisms for applying, saving, and managing custom criteria to narrow down displayed datasets.
Distinguishing note: Focuses on interactive data subsetting rather than server-side query construction.
Explore 3 awesome GitHub repositories matching data & databases · Data Filtering Tools. Refine with filters or upvote what's useful.
DBeaver is a universal database client and administration environment designed for managing diverse relational and non-relational database systems. It provides a unified graphical interface that enables users to perform data manipulation, schema migration, and performance monitoring across multiple platforms. By utilizing a standardized driver abstraction layer, the application translates generic requests into database-specific commands, ensuring consistent interaction regardless of the underlying technology. The project distinguishes itself through an extensible, plugin-based architecture th
Enables users to apply and save custom filters and sorting rules for efficient data navigation.
Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer
Allows narrowing datasets by selecting specific columns or filtering rows based on position.
jid is an interactive JSON query tool and data explorer for the terminal. It provides a keyboard-driven interface to navigate, evaluate, and extract information from nested JSON structures using dot-notation paths and real-time autocomplete. The tool integrates JMESPath to support complex data filtering and transformation. It distinguishes itself through a type-aware assistance system that provides context-aware function hints and argument templates based on the data type of the selected JSON node. The capability surface includes a terminal user interface with syntax highlighting, predictive
Applies advanced JMESPath expressions and functions to extract and transform JSON data.