Search Results for "table"

pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.

sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. 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.

...The library is written with Svelte, but can be used in plain JavaScript too, and in any framework (SolidJS, React, Vue, Angular, etc). View and edit JSON, has a low-level text editor and high-level tree view and table view. Format (beautify) and compact JSON. Sort, query, filter, and transform JSON. JSON schema validation and pluggable custom validation. Color highlighting, undo/redo, search and replace. Utilities like a color picker and timestamp tag. Handles large JSON documents up to 512 MB.

...By Tom Preston-Werner, Pradyun Gedam, et al. TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. TOML shares traits with other file formats used for application configuration and data serialization, such as YAML and JSON. TOML and JSON both are simple and use ubiquitous data types, making them easy to code for or parse with machines. TOML and YAML both emphasize human readability features, like comments that make it easier to understand the purpose of a given line. ...

iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17. Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library.

PL/JSON is a generic JSON object written in PL/SQL. Using PL/SQL object syntax, users instantiate a JSON object and then add members, arrays and additional JSON objects. This object type can store JSON data, in Oracle, persistently.

Flattens JSON objects in Python. flatten_json flattens the hierarchy in your object which can be useful if you want to force your objects into a table.

Spots is a cross-platform view controller framework for building component-based UIs. The internal architecture is built using generic view models that can be transformed both to and from JSON. So, moving your UI declaration to a backend is as easy as pie. Data source and delegate setup is handled by Spots, so there is no need for you to do that manually. The public API is jam-packed with convenience methods for performing mutation, it is as easy as working with a regular collection type. At...

Python library provides the briefest way to construct SQL queries in JSON form. Simple example: ('*','table',id:[1,3]) is Select * from table where id in [1,3]. Sqlalchemy patch module is provided to extend sqlalchemy with convenient jsonSQL meth

Set of JavaScript classes (based on Mootools library) for dynamic creation of sortable HTML tables with cool effects (like: tracking cell/row updates and sorting effect). Tiny and easy to use with HTTP services. Supports differential table updates.