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Back to liquidaty/zsv

Open-source alternatives to Liquidaty Zsv

30 open-source projects similar to liquidaty/zsv, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Liquidaty Zsv alternative.

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  • benhoyt/goawkAvatar de benhoyt

    benhoyt/goawk

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    A POSIX-compliant AWK interpreter written in Go, with CSV support

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  • ezrosent/frawkAvatar de ezrosent

    ezrosent/frawk

    1,306Voir sur GitHub↗

    an efficient awk-like language

    Rust
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  • sgreben/jpAvatar de sgreben

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    dead simple terminal plots from JSON data. single binary, no dependencies. linux, osx, windows.

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    saulpw/visidata

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    VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme

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    eBay/tsv-utils

    1,479Voir sur GitHub↗

    This is a set of command line utilities for manipulating large tabular data files. Files of numeric and text data commonly found in machine learning and data mining environments. Filtering, sampling, statistics, joins, and more.

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    furfurylic/commata

    18Voir sur GitHub↗

    Just another header-only C++17 CSV parser

    C++
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    jheusser/csvfix

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    medialab/xan

    3,752Voir sur GitHub↗

    Xan is a command-line tool and data transformation engine for processing CSV, TSV, and JSONL datasets. It functions as a processor for compressed files, enabling random access and seeking within gzipped and Zstd files, and serves as a converter for specialized bioinformatics data formats. The tool handles large datasets without requiring full memory loads by utilizing stream-based processing. It provides capabilities for merging, sorting, and deduplicating massive files, as well as converting data between various tabular formats. The project covers a broad range of data wrangling and analysi

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    39,743Voir sur GitHub↗

    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

    Rustnushellrustshell
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    p-ranav/csv2

    622Voir sur GitHub↗

    Fast CSV parser and writer for Modern C++

    C++
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  • pereorga/csvfakerP

    pereorga/csvfaker

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  • pstaender/csv2mdP

    pstaender/csv2md

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  • red0124/sspAvatar de red0124

    red0124/ssp

    59Voir sur GitHub↗

    C++ CSV parser

    C++
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    vincentlaucsb/csv-parser

    1,104Voir sur GitHub↗

    A modern C++ CSV parser and serializer that doesn't make you choose between ease of use or performance.

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  • vividvilla/csvtotableAvatar de vividvilla

    vividvilla/csvtotable

    1,172Voir sur GitHub↗

    Simple command-line utility to convert CSV files to searchable and sortable HTML table.

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  • wireservice/csvkitAvatar de wireservice

    wireservice/csvkit

    6,390Voir sur GitHub↗

    csvkit is a composable Unix-style command-line toolkit for converting, filtering, and analyzing CSV files directly from the terminal. It provides a suite of focused single-purpose commands that can be combined via pipes to build complex data processing workflows, with a modular architecture that includes a column-type inference engine for automatically detecting data types and a streaming-pipeline design for efficient handling of tabular data. The toolkit distinguishes itself through its SQL-engine abstraction layer, which allows users to run SQL queries directly against CSV files without req

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    johnkerl/miller

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    Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, includin

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  • archiecobbs/csvprintfA

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