Search Results for "tables" - Page 3
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Showing 1472 open source projects for "tables"
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Tabulator
Interactive tables and data grids for JavaScript
Tabulator allows you to create interactive tables in seconds from any HTML Table, Javascript Array or JSON formatted data. Simply include the library and the css in your project and you're away! Tabulator has an enormous number of features to help customize your table experience to your needs. With new features released every month, there is bound to be something to get your interactive table juices flowing. -
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Spectre.Console
Library that makes it easier to create beautiful console applications
Spectre.Console is a .NET library that enables the creation of rich, cross‑platform console applications. Heavily inspired by Python’s Rich library, it provides advanced styling, layout, and input capabilities for modern terminal UIs. Supports tables, grids, panels, and a Rich inspired markup language. Supports the most common SRG parameters when it comes to text styling such as bold, dim, italic, underline, strikethrough, and blinking text. Supports 3/4/8/24-bit colors in the terminal. The library will detect the capabilities of the current terminal and downgrade colors as needed. ... -
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KonaBess
A GPU overclock & undervolt tool for various Snapdragon chips
KonaBess is a straightforward application designed to customize GPU frequency and voltage tables without the need for kernel recompilation. The application achieves customization by unpacking the Boot/Vendor Boot image, decompiling and editing relevant dtb (device tree binary) files, and finally repacking and flashing the modified image. The extent of improvement varies, with some users reporting a 25% reduction in power consumption in the graphics benchmark (4.2w->3.2w) after undervolting the Snapdragon 865. ... -
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Orange ORM
The ultimate ORM for Node and Typescript
Orange ORM is a lightweight, reflection-free ORM for Go that emphasizes performance and direct control. It provides a SQL-like fluent API and struct tagging system to map Go structs to database tables. Orange ORM supports PostgreSQL, MySQL, and SQLite, making it suitable for fast, embedded, or minimal-dependency applications. -
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Mordant
Multiplatform text styling for Kotlin command-line applications
Mordant is a multiplatform library for rendering styled text in the terminal. You can use it to add color and style to text, create tables, draw animations, and more. -
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Pandoc
The universal markup converter
...It can convert to and from just about anything-- lightweight markup formats, HTML formats, documentation formats, ebooks, TeX formats, word processor formats and so much more. It understands several useful markdown syntax extensions, such as document metadata, footnotes, tables, and more. If you want strict markdown compatibility however, these extensions can be turned off. Pandoc is no doubt powerful and customizable, but it is important to note that its intermediate representation of a document is less expressive than many of the formats, so it may not produce perfect conversions every time. -
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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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canvas-editor
Canvas-based WYSIWYG rich text editor with advanced layout tools
...It is designed to provide a WYSIWYG editing experience similar to word processors, enabling precise control over layout, rendering, and document structure. canvas-editor supports a wide range of formatting and document features, including text styling, tables, images, and embedded elements, all managed through a structured data model. Its architecture is modular, allowing developers to extend functionality through plugins, custom commands, and event hooks. It includes support for page-based layouts with headers, footers, pagination, and print-ready output, including PDF generation. It also provides interactive components such as form controls and context menus, making it suitable for building complex document editing systems. -
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
...For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version. -
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NeMo Retriever Library
Document content and metadata extraction microservice
NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. It supports multiple extraction strategies for different document formats, balancing accuracy and throughput depending on the use case. ... -
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PDFMathTranslate
PDF scientific paper translation with preserved formats
PDFMathTranslate is a Python-based tool that uses AI translation to convert academic PDFs into bilingual (e.g. Chinese-English) documents while preserving formatting, including math notation. It supports OCR-enhanced content and offers CLI, GUI, Docker, and Zotero integration under AGPL v3. -
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TextFSM
Python module for parsing semi-structured text into python tables
...It is particularly useful for extracting structured data from command-line interface (CLI) outputs, such as those from network devices, routers, and switches. By defining parsing logic through reusable template files, TextFSM transforms unstructured text into structured data like lists or tables without requiring complex regular expression code. Each template defines states, transitions, and regex patterns that determine how to interpret text line by line, enabling precise extraction of key information from varied sources. This modular approach allows users to maintain a library of templates for different data formats, improving automation in network operations and system administration. ... -
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PowerPoint-ist
Web presentation editor replicating many PowerPoint features online
...PPTist is built with Vue 3 and TypeScript and focuses on providing a highly interactive slide editing environment with extensive customization and extension potential. PPTist supports a wide variety of slide elements such as text, images, shapes, charts, tables, audio, video, and mathematical formulas, enabling users to design rich and complex presentations. It also includes tools for slide organization, element alignment, animation, and theme management to streamline presentation design workflows. In addition to editing capabilities, it provides export options for presentation files and other formats, although compatibility with traditional presentation formats. -
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peepDB
CLI tool and python library to inspect databases fast
peepDB is an open-source command-line tool and Python library designed for developers and database administrators who need a fast and efficient way to inspect their database tables without writing SQL queries. With support for MySQL, PostgreSQL, and MariaDB, peepDB is lightweight, secure, and incredibly easy to use. -
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Chandra
OCR model for complex documents with layout-aware structured outputs
Chandra is an advanced OCR model designed to extract and structure information from complex documents such as tables, forms, handwritten notes, and mathematical content. It focuses on preserving full document layout, meaning that extracted text is accompanied by positional metadata like bounding boxes for each element. Chandra supports multiple output formats including Markdown, HTML, and JSON, making it suitable for downstream processing and integration into data pipelines. -
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docext
An on-premises, OCR-free unstructured data extraction
...Unlike traditional document processing pipelines that rely heavily on optical character recognition, docext leverages multimodal AI models capable of understanding both visual and textual information directly from document images. This allows the system to detect and extract structured elements such as tables, signatures, key fields, and layout information while maintaining semantic understanding of the document content. The toolkit can also convert complex documents into structured markdown representations that preserve formatting and contextual relationships. -
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Restaurant Management System
Restaurant Management System written in Python using Tkinter
...Restaurant Management System (will be referred as RMS from now on) offers the following to tackle the problem. Store the configuration of the given restaurant and its menu to easily handle reservations and orders. Create and store orders for the requested tables. Generate and save bills when requested. Storing the restaurant configuration: configure facility name, table/seat counts, and menu with the ability to modify them in the future. Users will have the ability to modify the data through the “Configure Facility/Menu” section of the app. Create bills for the chef (backend): The application will first send the order to the kitchen for cooks to see, prepare, and fulfill the order. -
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Ridgepole
Ridgepole is a tool to manage DB schema. It defines DB schema
Ridgepole is a database schema management tool that treats your schema as code by expressing it in a Ruby DSL and applying diffs to keep databases in sync. You describe the desired state in a “Schemafile” (tables, columns, indexes, constraints), and Ridgepole compares it with the live database to generate only the necessary changes. This diff-and-apply approach makes schema changes repeatable and reviewable, avoiding hand-written migrations for routine structural edits. It supports multiple environments and options to ignore benign differences (such as auto-generated defaults), reducing churn in teams and CI pipelines. ... -
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Cassandra Spark Connector
Apache Spark to Apache Cassandra connector
The Apache Cassandra Spark Connector allows Spark jobs (RDDs or DataFrames/Datasets) to read from and write to Cassandra tables. Compatible with Apache Cassandra (v2.1+), Spark 1.0–3.5, and Scala 2.11–2.13, it supports mapping Cassandra rows to Scala case classes, saving results back to Cassandra, and executing arbitrary CQL within Spark applications. -
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Livewire PowerGrid
PowerGrid generates Advanced Datatables using Laravel Livewire
PowerGrid creates modern, powerful and easy-to-customize Datatables based on the Laravel Livewire library. Tables have basic features activated by default. Extend and customize your table including components (checkbox, action buttons, editable fields), global search feature, column data filters, and data export tool. Table components include feature examples. Just uncomment some code, enter your data, and it works. -
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Metacrafter
Metadata and data identification tool and Python library
Python command line tool and Python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifiable information (PII). Metacrafter is a rule-based tool that helps to label fields of the tables in databases. It scans table and finds person names, surnames, midnames, PII data, basic identifiers like UUID/GUID. These rules written as .yaml files and could be easily extended. -
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Genji
Document-oriented, embedded SQL database
Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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TailAdmin
Free and Open-source Tailwind CSS Dashboard Admin Template
...The template is built using a combination of HTML, Tailwind CSS, Alpine.js, and modern build tools, making it lightweight while still offering interactive functionality. TailAdmin includes essential features such as charts, tables, authentication forms, and navigation components, enabling developers to assemble full dashboards without starting from scratch. It also supports multiple frameworks, including React, Next.js, Vue, Angular, and Laravel, making it highly adaptable to different development stacks. With responsive design and dark mode support built in, it ensures usability across devices and environments. -
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PO UI
Angular component library
...It is part of the PO UI ecosystem, which aims to simplify the development of administrative interfaces, dashboards, and enterprise systems with a consistent visual identity. The library includes a wide variety of components such as forms, tables, charts, and navigation elements that are tailored for data-driven applications. It emphasizes productivity by offering ready-to-use components that reduce development time and enforce best practices in UI design. po-angular is designed with scalability in mind, supporting large applications with complex workflows and data structures. ... -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. ...
