Projects sharing features with Ibis

FreeSql is a .NET object-relational mapper and data access layer that translates object-oriented code into SQL for multiple relational database providers. It functions as a fluent SQL query builder and database schema synchronizer, allowing developers to align database table and index structures with entity class definitions. The framework is specifically optimized for .NET Native AOT to ensure reduced memory footprints and faster startup times. It includes a database traffic manager to distribute load through read-write splitting, dynamic table sharding, and tenant-based data isolation. Bro

dplyr is an R data manipulation library that provides a grammar for transforming tabular data frames. It functions as an in-memory data frame processor and a relational data algebra tool, using a consistent set of verbs to filter, select, and summarize data. The project includes a SQL translation engine that converts high-level data manipulation expressions into optimized queries. This allows users to perform transformations directly on remote relational databases and cloud storage without pulling data locally. The library covers a broad range of tabular operations, including column mutation

Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

This project is a high-performance tabular data processing framework for R, designed to handle massive datasets with memory efficiency and speed. It provides an enhanced data structure that utilizes reference semantics and in-place modification to perform complex transformations without the overhead of unnecessary object copying. The library distinguishes itself through its low-level architectural optimizations, including multi-threaded parallel processing, radix-based sorting, and memory-mapped file parsing. By offloading critical data manipulation and aggregation routines to compiled C code

Flink streaming platform web is an administrative management platform and web console designed to build, configure, deploy, and monitor real-time data streaming pipelines and SQL queries. It operates as a centralized web interface for managing stream processing tasks, state recovery, and cluster deployments without requiring raw code writing. The platform provides comprehensive stream processing capabilities including change data capture ingestion, stream-table joins, tumbling and sliding window aggregations, and message queue ingestion. It supports cluster-agnostic job submission, dynamic cl

cuml is a GPU-accelerated machine learning library and framework that uses CUDA to accelerate tabular data preprocessing and model execution. It provides a suite of tools for training and deploying classification, regression, and clustering models on NVIDIA GPUs and GPU clusters. The library is designed for scalability, offering a distributed GPU machine learning environment that can spread computation and data across multiple hardware accelerators and nodes to handle datasets exceeding single-device memory. It mirrors standard estimator interfaces to allow the replacement of CPU-based models

Slonik is a type-safe PostgreSQL client for Node.js that uses tagged template literals to ensure parameters are bound and protected against injection attacks. It provides a framework for connecting applications to PostgreSQL with automatic type checking for queries and database schemas. The project distinguishes itself through a specialized SQL query linter that detects invalid columns and type mismatches by verifying code against a live database schema during the development process. It also includes a high-performance binary bulk data inserter for loading large datasets using native binary

ui-grid is an enterprise data grid component for Angular applications designed to display tabular data. It functions as an interactive data table that supports virtualization to maintain performance when rendering large datasets. The grid provides specialized capabilities for professional data management, including row grouping, column pinning, and state persistence. It allows for the organization of complex data hierarchies and the transformation of flat records into grouped or tree structures. The component covers a broad range of data management features, including in-place cell editing,

sqlite-web is a Python-based web application that provides a graphical user interface for browsing, querying, and editing SQLite database files. It functions as a database management tool that allows users to manipulate table data and manage schemas through a web browser rather than using a command line or raw SQL scripts. The application includes utilities for data migration, enabling the import and export of database content via JSON and CSV file formats. It also provides secure remote access to databases through password access control and SSL encryption. The project covers broader admini

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

xorm is a relational mapper and object-relational mapping tool for Go. It translates Go structures into SQL queries and maps database rows back into native objects, providing a multi-dialect database driver that supports MySQL, PostgreSQL, SQLite, Oracle, SQL Server, and TiDB. The project features a read-write splitting manager that routes modification requests to a primary database and read requests to replicas. It includes a database schema synchronizer to automatically align table structures and indexes with application data models, as well as a fluent SQL query builder for constructing co

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

Sea-query is a database abstraction library for Rust that provides a fluent builder pattern for constructing type-safe SQL queries. It functions as a framework for defining and managing database schemas and queries through code, allowing developers to generate syntactically valid statements for multiple database engines without relying on manual string concatenation. The library distinguishes itself by using an abstract syntax tree to model queries, which enables engine-agnostic transformations and compilation into specific SQL dialects. This architecture supports cross-database portability,

Liquibase is a database schema change management tool and version control system designed to track, manage, and apply versioned database modifications. It functions as a SQL migration framework and DevOps automation utility that integrates database deployments into continuous delivery pipelines and build toolchains. The system enables precise rollbacks and drift detection by recording every modification made to a database schema. It supports the definition of database changes through structured changesets in XML, YAML, or JSON, as well as raw SQL scripts, to ensure consistent deployments acro

Querydsl is a framework for the construction of type-safe queries. It uses a fluent API and annotation-based code generation to create mirror classes from domain models, enabling compile-time validation of database queries and removing the need for manual string concatenation. The project provides a unified query syntax that translates into specific dialects for multiple backends, including SQL, MongoDB, Lucene, and JDO. It supports advanced query capabilities such as common table expressions, window functions, geospatial operations, and complex nested subqueries. Beyond data retrieval, the

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

The project is a reusable collection of modular compiler and toolchain technologies designed for building optimizers, code generators, and multi-language programming environments. It provides foundational compiler frontend technologies that translate source code written in C, C++, and Objective-C into a low-level programming language and intermediate code format. This intermediate representation enables cross-language analysis, program transformation, and target-independent optimization alongside a cross-platform programming framework that allows developers to write single-source accelerated a

SparkInternals is a technical reference and architecture guide detailing the internal design and implementation of the Apache Spark distributed computing engine. It serves as a study of big data engine analysis, focusing on how the system manages cluster execution and the interaction between driver nodes, executors, and workers. The project provides a detailed breakdown of how logical plans are converted into physical execution stages. It specifically analyzes the mechanics of data shuffle operations, memory management, and the coordination of distributed job scheduling. The documentation co

This project is a cross-language quantitative trading framework designed to implement and execute trading strategies consistently across Python, JavaScript, C++, and PineScript. It functions as a polyglot trading strategy translator and a multi-language algorithmic trading engine that maps high-level scripting and block-based logic to executable binaries. The system features a financial domain-specific language parser that translates specialized trading syntax and visual programming blocks into a standardized internal representation. It includes a technical analysis pattern library providing

Remeda is a type-safe functional utility library for TypeScript designed for building data transformation pipelines. It provides a toolkit of helper functions for manipulating arrays and objects while maintaining strict type integrity throughout the process. The library is characterized by its support for both data-first and data-last calling styles. It utilizes lazy evaluation to process data collections, evaluating transformations only when the final result is requested to avoid creating intermediate collection copies. The toolkit covers collection manipulation, function composition, and t

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

Baserow is a self-hosted, no-code relational database platform built on PostgreSQL. It provides a spreadsheet-like interface for structuring and managing data without writing code, while exposing all database resources via a REST API to support headless architectures. The platform distinguishes itself by integrating large language models and embedding servers to power AI assistants and automated data generation. It further extends its utility as a no-code application builder, allowing users to create custom internal portals, dashboards, and business tools using visual logic and managed data.

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

Triton is a dynamic binary analysis framework designed to automate reverse engineering. It functions as a multi-architecture CPU emulator, an SMT-based symbolic execution engine, and a dynamic taint analysis tool. The framework translates raw machine instructions into abstract syntax trees, allowing it to represent binary program logic as a structured intermediate representation. This allows the system to map multiple hardware instruction sets to a single analysis framework and translate machine instructions into mathematical formulas for solving constraints. Its capabilities cover the simul

Semantic is a Haskell-based library and command-line tool designed for polyglot source code analysis. It functions as a static program analysis framework and a polyglot abstract syntax tree parser that converts multiple programming languages into structured syntax trees based on grammar definitions. The system distinguishes itself through a semantic code comparison engine that detects structural and meaningful changes between code versions rather than relying on textual differences. It further enables analysis across different programming syntaxes by translating surface languages into a unifi

Medoo is a lightweight PHP database abstraction layer and SQL query builder. It serves as a minimal database wrapper that provides a unified API to execute queries across multiple SQL engines, translating PHP method calls into specific database dialects. The project enables multi-dialect SQL interfacing, allowing a single codebase to interact with various backends including MySQL, MariaDB, PostgreSQL, SQLite, MSSQL, Oracle, and Sybase. It uses prepared statement parameterization to prevent injection attacks while maintaining a programmatic approach to constructing complex SQL statements. The

This project is a collection of official toolsets and server implementations designed for the parsing, formatting, and semantic analysis of the Go programming language. It includes a language server that provides real-time code intelligence and automated editing capabilities to editors via the Language Server Protocol. The toolset provides a suite of utilities for source code formatting and static analysis. This includes automated standardization of code layout, import organization, and the generation of string representation methods for enumerated types. The project covers broad static anal