11 مستودعات
Architectures for processing large datasets in chunks to manage memory usage.
Distinguishing note: Focuses on out-of-core batch streaming rather than real-time event processing.
Explore 11 awesome GitHub repositories matching data & databases · Streaming Data Pipelines. Refine with filters or upvote what's useful.
Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e
Handles datasets exceeding system memory through a streaming batch processing pipeline.
This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation. The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex
Provides an iterator to yield data in small, manageable chunks, supporting both randomized training orders and deterministic validation sequences.
Vowpal Wabbit is an open-source machine learning system designed for online learning, where models update incrementally from streaming data without requiring full retraining. It provides a reduction-based learning framework that composes complex tasks from simpler algorithms, and includes a feature hashing trick that maps unbounded feature names into a fixed-size vector space to keep memory usage constant regardless of dataset size. The system supports distributed training across a cluster using an allreduce protocol for synchronized updates, and offers an active learning query strategy that s
Processes examples one at a time from files or stdin without loading the entire dataset into memory.
Trax is a deep learning framework and hardware-agnostic tensor engine designed for designing and training neural networks. It serves as a research tool providing high-level combinators for composing complex architectures, alongside a dedicated library for building transformer models and a toolkit for reinforcement learning. The framework is distinguished by its support for reversible and sparse transformer architectures, which reduce memory and computational overhead. It enables a single set of model instructions to execute across different hardware backends without changing the underlying co
Processes large datasets in chunks via tokenization and filtering to optimize memory usage during training.
This is an ECMAScript proposal that introduces a pipeline operator for JavaScript, enabling left-to-right expression chaining with a dedicated placeholder token to reference the previous step's value. The proposal defines a syntax-only transformation that desugars to standard JavaScript, requiring no new runtime support or engine primitives. The pipeline operator allows chaining operations sequentially, passing each result to the next step in natural reading order. It includes a null-safe variant that short-circuits on nullish values, returning them unchanged and skipping remaining steps. Eac
Binds values in control flow statements like if, catch, and for-of for expression-oriented programming.
language-ext is a functional programming framework for C# that provides a suite of immutable data structures and monadic types. It enables the implementation of pure functional programming patterns, utilizing containers to manage side effects, optional values, and error handling. The library is distinguished by its advanced concurrency and state management tools, including a software transactional memory system and lock-free atomic references. It also provides specialized utilities for distributed systems, such as vector clocks for causality tracking and deterministic data conflict resolution
Connects reusable sources, sinks, and conduits into pipelines for processing value flows.
This project is a Go shell scripting library and framework designed for writing automation scripts and CLI tools. It provides a concurrent data pipeline system for chaining sources, filters, and sinks to process text and JSON streams. The library distinguishes itself through a comprehensive toolkit for shell-like operations, including a text processing engine for regular expression filtering and frequency analysis, a filesystem utility toolkit for recursive search and path manipulation, and an integrated HTTP client wrapper for building data pipelines that fetch web content. The capability s
Provides a value-flow pipeline architecture where discrete processing stages pass output sequentially as input.
Node.js is an open-source, cross-platform JavaScript runtime environment built on the V8 engine, designed for executing JavaScript code outside a web browser. It operates as a server-side JavaScript platform with an event-driven, non-blocking I/O architecture that enables building scalable network applications and web servers. The runtime integrates the CommonJS module system for synchronous module loading and the npm ecosystem for sharing and reusing packages. The platform provides comprehensive capabilities for web server development, including creating HTTP and HTTPS servers, managing HTTP
Provides a built-in stream pipeline API for processing large files chunk by chunk without memory overload.
Gifify هي أداة لتحويل ملفات الفيديو إلى صور GIF متحركة محسنة. تعمل كمحول فيديو إلى GIF وأداة تحسين تستخرج مقاطع محددة من ملفات الفيديو وتحرق تراكبات النص أو الترجمة مباشرة في الإطارات. يتميز المشروع بتحسين GIF متخصص، باستخدام ضغط فقدان البيانات، وتحديد عدد الألوان، وتوليد لوحة ألوان مخصصة لتقليل أحجام الملفات. كما يوفر تحكماً دقيقاً في المخرجات من خلال السماح للمستخدمين بضبط سرعة التشغيل، وعكس اتجاه التشغيل، وتغيير الأبعاد. يغطي البرنامج مجموعة واسعة من قدرات معالجة الفيديو، بما في ذلك قص المقاطع القائم على الطابع الزمني ومعالجة الصور إطاراً بإطار. يتم التعامل مع هذه العمليات عبر واجهة سطر أوامر تدعم معالجة الوسائط القائمة على التدفق.
Processes media data in chunks as a continuous flow to handle large files without loading them entirely into memory.
re-frame هو إطار عمل وظيفي لبناء تطبيقات الصفحة الواحدة (SPA) باستخدام ClojureScript. يوفر قاعدة بيانات مركزية غير قابلة للتغيير تعمل كمصدر وحيد للحقيقة لحالة التطبيق بالكامل، مما يفرض تدفق بيانات أحادي الاتجاه صارم حيث تؤدي الأحداث إلى تغييرات في الحالة وتحديثات لاحقة للعرض. يتميز إطار العمل برسم بياني تفاعلي للإشارات وخط أنابيب (pipeline) وسيط يعتمد على المعترضات (interceptors). من خلال التعامل مع منطق التطبيق كسلسلة من الأحداث القائمة على البيانات والآثار الجانبية التصريحية، فإنه يفصل منطق الأعمال عن طبقة العرض. تسمح هذه البنية للمطورين بإدارة تغييرات الحالة المعقدة والعمليات الخارجية من خلال دوال نقية، مما يضمن تنفيذ الآثار الجانبية بواسطة مترجم منفصل بدلاً من الاستدعاءات الإلزامية. يتضمن النظام مجموعة شاملة من الإمكانيات لإدارة بنية التطبيق، بما في ذلك اشتقاق البيانات التفاعلي، ومطابقة العرض القائمة على الاشتراكات، وإدارة الحالة القائمة على الأحداث. يدعم سير عمل التطوير المتقدم مثل تتبع الأحداث، وحفظ نقاط فحص الحالة، والقدرة على محاكاة الآثار الجانبية للاختبار المعزول. تم تصميم المشروع للتكامل مع React، مستفيداً من مطابقة DOM الافتراضي لتحديث واجهات المستخدم بكفاءة. يوفر مجموعة قوية من الأدوات للتعامل مع الاهتمامات المتقاطعة، وإدارة رسوم بيانية معقدة لتدفق البيانات، وتنسيق العمليات غير المتزامنة ضمن خط أنابيب أحداث متسلسل وقابل للتنبؤ.
Fetches the current computed value of a specific registered flow from the global application state.
Streem is a stream-based programming language and data pipeline orchestrator. It provides a domain-specific language for defining concurrent data flows, allowing users to link data sources to destinations through a sequence of operations that transform and filter individual stream elements. The system uses a custom script syntax to define data-flow connections and pipeline definitions. This allows for the orchestration of concurrent data processing where multiple pipeline stages execute simultaneously to move data elements through the system. The platform covers functional data transformatio
Processes individual data elements through a sequential chain of linked operations from source to destination.