4 مستودعات
Executes data processing tasks via interactive notebook interfaces.
Distinct from Analytics APIs: Distinct from Analytics APIs: focuses on interactive notebook-based execution rather than programmatic API access.
Explore 4 awesome GitHub repositories matching data & databases · Notebook Analytics. Refine with filters or upvote what's useful.
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Processes data using Apache Spark applications via a notebook interface without requiring manual compute management.
Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con
Provides specialized widgets within Jupyter notebooks to explore and visualize dataframes and Arrow data interactively.
Perspective is a columnar data analytics library and streaming data visualization engine. It provides an interactive data grid component and notebook analytics widgets designed for processing high-volume data and rendering interactive charts and grids. The system utilizes a high-performance query engine to enable real-time data analysis and streaming dataset visualization. It supports the creation of customizable dashboards and reports that update automatically as new data arrives without requiring full dataset reloads. The project covers large-scale dataset analytics through a schema-driven
Offers dedicated interactive widgets for performing data analysis and reporting within notebook environments.
ThreatHunter-Playbook هو إطار عمل مهيكل لإدارة كتيبات صيد التهديدات، وسير عمل هندسة الكشف، ونمذجة حرفة الخصم. يوفر نظاماً لتنظيم الأنماط السلوكية وقواعد الكشف في مجموعات تكتيكية لتطوير فرضيات المراقبة الأمنية. يتميز المشروع ببيئة دفاتر ملاحظات أمنية تفاعلية تجمع بين التحليلات واستعلامات التحقق لاختبار فرضيات التهديد مقابل مجموعات بيانات القياس عن بعد. يتضمن أداة تعيين لتنظيم هذه الأنماط بناءً على إطار عمل MITRE ATT&CK الأمني. يغطي إطار العمل دورة حياة صيد التهديدات الكاملة، بما في ذلك دورات التخطيط وإعداد التقارير الرسمية. يتيح تطوير هندسة الكشف من خلال مطابقة سجلات النظام المتوقعة وبيانات الأحداث مقابل قياسات البيئة الفعلية للتحقق من الفرضيات الأمنية.
Implements an interactive notebook environment for executing analytics queries to test security hypotheses.