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16 रिपॉजिटरी

Awesome GitHub RepositoriesColumn Value Extraction

Utilities for retrieving typed data from specific database columns by index or name.

Distinct from Value Extraction: Existing candidates focus on lineage or schema definitions, not the runtime extraction of values from result sets.

Explore 16 awesome GitHub repositories matching data & databases · Column Value Extraction. Refine with filters or upvote what's useful.

Awesome Column Value Extraction GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • ccgus/fmdbccgus का अवतार

    ccgus/fmdb

    13,851GitHub पर देखें↗

    fmdb is an object-oriented SQLite database library and persistence layer for native macOS and iOS environments. It provides an Objective-C wrapper that encapsulates the low-level C API, allowing applications to manage local relational data storage and embedded database connections through a high-level interface. The library focuses on thread-safe database access by synchronizing operations across multiple threads using serialized queues to prevent data corruption and race conditions. It includes specialized capabilities for secure local storage, such as database encryption and the management

    Retrieves data from specific columns by index or name as strings, integers, or binary data.

    Objective-C
    GitHub पर देखें↗13,851
  • lancedb/lancedblancedb का अवतार

    lancedb/lancedb

    9,031GitHub पर देखें↗

    LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters

    Creates new data columns by transforming existing values through SQL expressions or external data merges.

    HTMLapproximate-nearest-neighbor-searchimage-searchnearest-neighbor-search
    GitHub पर देखें↗9,031
  • daffainfo/allaboutbugbountydaffainfo का अवतार

    daffainfo/AllAboutBugBounty

    6,644GitHub पर देखें↗

    AllAboutBugBounty is a curated collection of bug bounty techniques and payloads for web application security testing. It serves as a reference resource covering common web vulnerabilities and exploitation methods for security researchers, providing a structured approach to identifying and exploiting web application security flaws in bug bounty programs. The repository covers a wide range of attack categories including authentication bypass, cross-site scripting injection, server-side request forgery, web cache poisoning, and business logic abuse. It includes techniques for bypassing access co

    Documents enumerating database schemas through injection techniques for targeted exploitation.

    bugbugbountybugbountytips
    GitHub पर देखें↗6,644
  • ecrmnn/collect.jsecrmnn का अवतार

    ecrmnn/collect.js

    6,571GitHub पर देखें↗

    collect.js is a dependency-free JavaScript library that provides a fluent, chainable interface for manipulating arrays and objects. It mirrors the Laravel Collection API, offering a consistent set of methods for data transformation across JavaScript and Laravel backend environments. The library stores collection data as plain arrays internally and supports fluent method chaining, where each method returns a new collection instance. The library distinguishes itself by closely replicating the Laravel Collection API in JavaScript, mapping each PHP method to an equivalent JavaScript implementatio

    Calculates sum, average, median, mode, min, or max across all items or a specified key.

    JavaScriptcollectionlaravellaravel-collections
    GitHub पर देखें↗6,571
  • ibis-project/ibisibis-project का अवतार

    ibis-project/ibis

    6,574GitHub पर देखें↗

    Ibis is a portable Python dataframe library and multi-backend query engine that provides a unified interface for executing data transformations across diverse compute engines. It functions as a Python SQL expression compiler and dialect transpiler, allowing users to define data logic once and execute it across cloud warehouses, embedded databases, and distributed clusters without rewriting code. The project distinguishes itself through a database backend abstraction that decouples transformation logic from the underlying execution engine. It enables polyglot data workflows by mixing raw SQL s

    Computes summary statistics like mean, max, min, and sum across columns or groups.

    Pythonbigqueryclickhousedatabase
    GitHub पर देखें↗6,574
  • apache/pinotapache का अवतार

    apache/pinot

    6,098GitHub पर देखें↗

    Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

    Captures record headers, keys, and timestamps as queryable columns within the destination table for deeper analysis.

    Java
    GitHub पर देखें↗6,098
  • codeigniter4/codeigniter4codeigniter4 का अवतार

    codeigniter4/CodeIgniter4

    5,924GitHub पर देखें↗

    CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools

    Returns an indexed array of values from a single specified column across matching rows.

    PHPcodeignitercodeigniter4framework-php
    GitHub पर देखें↗5,924
  • evidence-dev/evidenceevidence-dev का अवतार

    evidence-dev/evidence

    5,919GitHub पर देखें↗

    Computes and displays summary statistics like sum, average, min, median, or max from a query column.

    JavaScriptanalyticsbusiness-intelligencedashboard
    GitHub पर देखें↗5,919
  • eventual-inc/daftEventual-Inc का अवतार

    Eventual-Inc/Daft

    5,225GitHub पर देखें↗

    Daft is a distributed dataframe library and multimodal data processor designed to handle large-scale structured and unstructured data. It functions as a vectorized execution engine that processes tables alongside images, audio, and video, utilizing a unified schema to manage diverse data types. The project distinguishes itself by combining distributed data engineering with large-scale AI inference. It provides an AI data pipeline for batch-optimizing model prompts and generating high-dimensional text embeddings, while utilizing zero-copy memory sharing to execute custom Python functions witho

    Calculates summary statistics like sums and averages across multiple columns for a single row.

    Rustai-engineeringai-pipelinearrow
    GitHub पर देखें↗5,225
  • man-group/dtaleman-group का अवतार

    man-group/dtale

    5,170GitHub पर देखें↗

    dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis tool. It provides a browser-based interface for analyzing tabular data structures, allowing users to calculate statistics, detect outliers, and compute correlations without writing manual code. The project functions as an embedded data viewer that can be integrated into web applications via iframes or custom routes, with specific support for Django, Flask, and Streamlit. It enables the exploration of datasets through a combination of an interactive data grid and a data visualiz

    Generates box plots, histograms, and value counts to describe the distribution of data columns.

    TypeScriptdata-analysisdata-sciencedata-visualization
    GitHub पर देखें↗5,170
  • goravel/goravelgoravel का अवतार

    goravel/goravel

    4,749GitHub पर देखें↗

    Goravel Go प्रोग्रामिंग भाषा का उपयोग करके वेब एप्लिकेशन, REST API और gRPC सेवाएं बनाने के लिए एक पूर्ण-विशेषीकृत डेवलपमेंट स्कैफोल्ड और फ्रेमवर्क है। यह मॉडल-व्यू-कंट्रोलर आर्किटेक्चर को लागू करता है और उच्च-प्रदर्शन रिमोट प्रोसीजर कॉल सर्वर्स और क्लाइंट्स के लिए एक व्यापक टूलकिट प्रदान करता है। यह फ्रेमवर्क अपने व्यापक एकीकृत इकोसिस्टम द्वारा प्रतिष्ठित है, जिसमें डेटाबेस मैनेजमेंट के लिए एक फ्लुएंट ऑब्जेक्ट-रिलेशनल मैपर और प्रशासनिक ऑटोमेशन और प्रोजेक्ट स्कैफोल्डिंग के लिए एक समर्पित कमांड-लाइन इंटरफ़ेस टूलकिट शामिल है। इसमें एक ड्राइवर-आधारित सर्विस एब्स्ट्रैक्शन है जो डेवलपर्स को एप्लिकेशन लॉजिक को बदले बिना स्टोरेज, कैश और सेशन बैकएंड को स्वैप करने की अनुमति देता है। यह प्लेटफ़ॉर्म एप्लिकेशन क्षमताओं की एक विस्तृत सतह को कवर करता है, जिसमें डिस्ट्रीब्यूटेड क्यूज़ के साथ एसिंक्रोनस टास्क प्रोसेसिंग, टोकन-आधारित प्रमाणीकरण के माध्यम से सुरक्षित आइडेंटिटी मैनेजमेंट, और एन्क्रिप्शन और एक्सेस कंट्रोल के साथ एक मजबूत सुरक्षा परत शामिल है। यह कंटेंट लोकलाइजेशन, टेम्पलेट रेंडरिंग और डिपेंडेंसी मॉकिंग के साथ एक ऑटोमेटेड टेस्टिंग इंफ्रास्ट्रक्चर के लिए टूल्स भी प्रदान करता है।

    Provides utilities to extract specific database column values into Go slices.

    Goapiframeworkgo
    GitHub पर देखें↗4,749
  • h2database/h2databaseh2database का अवतार

    h2database/h2database

    4,607GitHub पर देखें↗

    H2 Java में लिखा गया एक JDBC-अनुपालन रिलेशनल डेटाबेस मैनेजमेंट सिस्टम है। यह एक एम्बेड करने योग्य SQL डेटाबेस के रूप में कार्य करता है जो नेटवर्क लेटेंसी को हटाने के लिए सीधे एप्लिकेशन प्रोसेस के भीतर चल सकता है, या उच्च-प्रदर्शन वाले वोलेटाइल स्टोरेज के लिए इन-मेमोरी डेटाबेस के रूप में कार्य कर सकता है। इसमें SQL कमांड निष्पादित करने और स्कीमा प्रबंधित करने के लिए एक वेब-आधारित कंसोल भी शामिल है। सिस्टम को इसके लचीले डिप्लॉयमेंट मोड द्वारा पहचाना जाता है, जिसमें रिमोट TCP/IP एक्सेस के लिए स्टैंडअलोन सर्वर मोड और स्थानीय व रिमोट कनेक्टिविटी के लिए मिक्स्ड मोड शामिल है। इसमें एक डायलेक्ट एमुलेशन लेयर और कम्पैटिबिलिटी मोड हैं जो इसे अन्य डेटाबेस सिस्टम के व्यवहार और सिंटैक्स की नकल करने की अनुमति देते हैं। इंजन ACID ट्रांजेक्शन (मल्टी-वर्जन कॉनकरेंसी कंट्रोल के साथ), जियोस्पेशियल और JSON डेटा सपोर्ट, और उन्नत विश्लेषणात्मक विंडो फंक्शन्स जैसी व्यापक क्षमताएं प्रदान करता है। इसमें डेटा संरक्षण के लिए कंप्रेस्ड बैकअप, SQL स्क्रिप्ट रिस्टोरेशन और बड़े डेटासेट को संभालने के लिए ऑफ-हीप मेमोरी प्रबंधन के टूल शामिल हैं।

    Gathers values from multiple rows into a single array with optional ordering during aggregation.

    Javadatabasejavajdbc
    GitHub पर देखें↗4,607
  • aimeos/mapaimeos का अवतार

    aimeos/map

    4,200GitHub पर देखें↗

    This PHP data collection library is a functional data wrapper and array manipulation framework. It converts arrays, JSON strings, and iterables into chainable collection objects designed for advanced filtering, sorting, and transformation. The library is distinguished by its ability to dynamically extend functionality through the registration of custom methods via closures. It also provides specialized capabilities for hierarchical data modeling, allowing flat datasets with parent-child identifiers to be reconstructed into nested tree structures. The toolkit covers a broad surface of data ma

    Computes sum, average, min, max, and frequency counts on collection values.

    PHParraycollectionmap
    GitHub पर देखें↗4,200
  • jtablesaw/tablesawjtablesaw का अवतार

    jtablesaw/tablesaw

    3,753GitHub पर देखें↗

    Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad

    Computes single summary statistics like mean, median, and standard deviation across a data column.

    Java
    GitHub पर देखें↗3,753
  • medialab/xanmedialab का अवतार

    medialab/xan

    3,752GitHub पर देखें↗

    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

    Loads only requested data columns into memory to reduce the resource footprint when processing wide datasets.

    Rustclicsvrust
    GitHub पर देखें↗3,752
  • hosseinmoein/dataframehosseinmoein का अवतार

    hosseinmoein/DataFrame

    2,917GitHub पर देखें↗

    DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

    Provides column-based aggregation to compute total sums while optionally ignoring missing data.

    C++aicppdata-analysis
    GitHub पर देखें↗2,917
  1. Home
  2. Data & Databases
  3. Column Value Extraction

सब-टैग एक्सप्लोर करें

  • Column Value Aggregations4 सब-टैग्सComputes and displays summary statistics like sum, average, min, median, or max from a query column. **Distinct from Column Value Extraction:** Distinct from Column Value Extraction: focuses on computing aggregate statistics from column values, not just retrieving raw values.
  • Column Value EnumeratorsUtilities for discovering all unique possible values within a specific database column without full dataset loading. **Distinct from Column Value Extraction:** Focuses on discovering the set of possible values (enumeration) rather than simply extracting a specific value by index.
  • Memory-Efficient Column SelectionTechniques for loading only a specific subset of columns into memory to minimize the footprint of wide datasets. **Distinct from Column Value Extraction:** Distinct from Column Value Extraction by focusing on the memory optimization of the load process rather than just the retrieval of values.
  • Metadata Column ExtractionsCapturing record headers and keys as queryable columns during ingestion. **Distinct from Column Value Extraction:** Distinct from Column Value Extraction: focuses on the specific extraction of metadata (headers, keys, timestamps) into table columns, rather than general data value retrieval.
  • Schema Enumeration via InjectionProbing database structure by enumerating column counts, injectable columns, and system tables through injection vulnerabilities. **Distinct from Column Value Extraction:** Distinct from Column Value Extraction: focuses on mapping database structure rather than retrieving specific column values.