Search Results for "drop"
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Showing 10 open source projects for "drop"
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1
go-json
Fast JSON encoder/decoder compatible with encoding/json for Go
Fast JSON encoder/decoder compatible with encoding/json for Go. -
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UltraJSON
Ultra fast JSON decoder and encoder written in C with Python bindings
UltraJSON is an ultra-fast JSON encoder and decoder written in pure C with bindings for Python 3.7+. May be used as a drop-in replacement for most other JSON parsers for Python. Used to enable special encoding of "unsafe" HTML characters into safer Unicode sequences. Limits output to ASCII and escapes all extended characters above 127. Default is True. If your end format supports UTF-8, setting this option to false is highly recommended to save space. -
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sq data wrangler
sq data wrangler
...It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). You can use sq diff to compare tables, or entire databases. sq has commands for common database operations to copy, truncate, and drop tables. -
4
json-render
Generate dashboards, widgets, apps, and data visualizations
...The tool is built to be embeddable in any JavaScript environment — client-side or server-side — without dependencies on a particular frontend framework, making it easy to drop into documentation sites, dev tools, or internal utilities. JSON-Render also supports customization hooks and configuration options so that developers can fine-tune how types are displayed, apply custom styling, and inject interactive behaviors like folding nested sections or filtering keys. -
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5
Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
...With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields: if the natural data structure for the latter is the array, then Miller's natural data structure is the insertion-ordered hash map. Miller handles a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON/JSON Lines. ... -
6
hyperjson
Python module for reading/writing JSON data using Rust's serde-json
A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software and there will be bugs, so maybe don't deploy to production just yet. -
7
fast-serialization
FST: fast java serialization drop in-replacement
Up to 10 times faster 100% JDK Serialization compatible drop-in replacement (Ok, might be 99% ..). As an example: Lambda Serialization which came with 1.8 worked instantly. Android compatible since version 2.17 (use FSTConfiguration.createAndroidDefaultConfiguration() both on the server and client side. The configuration object has to be passed into FSTObjectIn/Output constructors) FSTStructs is very similar to IBM's packed objects. -
8
JSON Splora
GUI app for editing, visualizing, and manipulating JSON data
JSON-Splora is a GUI for editing, visualizing, and manipulating JSON data with jq or JavaScript. The editor is a JavaScript editor, and the input is parsed as json5. This allows for comments as well as a relaxed JSON input format. Once the editor has valid JSON, an input window will appear below, allowing you to manipulate the object with JavaScript or jq. A panel will appear to the right with the output, and updates live as the input or filter changes. -
9
JSONPlaceholder
A simple online fake REST API server
JSONPlaceholder is a free, fake online REST API designed for prototyping, tutorials, and UI demos without standing up a real backend. It provides predictable endpoints for resources like posts, comments, albums, photos, todos, and users with realistic data shapes. Because the data is publicly available and stable, you can build fetch logic, paginate, and render lists while focusing on front-end patterns rather than server plumbing. The API accepts typical HTTP verbs and returns JSON in a... -
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