awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
lightdash avatar

lightdash/lightdash

0
View on GitHub↗

Lightdash

Lightdash is an open-source business intelligence platform that treats analytics logic as code. It centralizes metric and dimension definitions in a semantic layer, allowing data teams to define business metrics in YAML files version-controlled alongside data models. This approach ensures consistent, governed data access without requiring users to write SQL.

Lightdash introduces CI/CD workflows for BI content, enabling teams to validate, test, and deploy analytics changes through automated pipelines and isolated preview environments. Its natural language query interface allows users to ask questions in plain English, translated into structured queries via AI agents. The platform also provides an embeddable analytics SDK for integrating dashboards into external applications, and enforces role-based access control with row-level security.

Beyond these differentiators, Lightdash supports building interactive dashboards and data applications from the centralized semantic model, self-service metric exploration with filtering and drill-down, scheduled report delivery to Slack or email, and full data lineage tracking. It integrates deeply with dbt to synchronize models and metrics across the analytics stack.

بحث بالذكاء الاصطناعي

استكشف المزيد من المستودعات الرائعة

صف ما تحتاجه بلغة بسيطة — وسيقوم الذكاء الاصطناعي بترتيب آلاف المشاريع مفتوحة المصدر المنسقة حسب الصلة.

Start searching with AI
lightdash.com
↗

Features

  • AI-Powered Data Assistants - Provides conversational AI agents for querying data and building dashboards without writing SQL.
  • Natural Language Querying Interfaces - Translates plain-language questions into structured queries using a semantic layer and large language model.
  • Business Metrics - Allows data teams to define business metrics and dimensions in YAML files to centralize analytics logic.
  • Natural Language to SQL - Allows users to query the data warehouse using natural language through AI agents in the UI or Slack.
  • Data Visualization Dashboards - Enables creation of interactive dashboards and data applications from a centralized semantic model with AI assistance.
  • dbt Model Importers - Synchronizes dbt models and metrics across the analytics stack using a shared context layer.
  • SQL-Based Semantic Layer - Centralizes metric and dimension definitions so queries retrieve consistent, governed data without direct SQL access.
  • YAML Metric Definitions - Allows data teams to define business metrics and dimensions in YAML files for version-controlled analytics logic.
  • Metric & Dimension Definitions - Centralizes metric and dimension definitions as version-controlled YAML files for governed analytics.
  • BI Content Pipelines - Automates validation and deployment of analytics changes through version-controlled pipelines and preview environments.
  • Analytics as Code Workflows - Treats business intelligence changes as code with version control and CI/CD pipelines.
  • BI Content Pipelines - Treats business intelligence changes as code with version control, CI/CD pipelines, and preview environments.
  • Dashboard Access Controls - Embeds dashboards into external applications and controls data access with roles, permissions, and row-level security.
  • Role-Based Access Control - Enforces data visibility restrictions using roles, permissions, and row-level security rules at the semantic layer.
  • Data Explorers - Enables users to explore data by filtering, segmenting, and drilling into predefined metrics without writing SQL.
  • Embedded Analytics - Provides an SDK to embed dashboards and charts into external web applications.
  • Scheduled Report Deliveries - Sends automated data exports to Slack or email on a configurable schedule.
  • Data Lineage - Maintains central definitions for data assets and traces queries back to official sources with full version history.
  • Preview Environments - Creates temporary, isolated analytics environments for reviewing BI changes before merging to production.
  • Dashboard Sharing - Creates interactive visualizations from defined metrics and distributes them via URLs, scheduled Slack messages, or email.
  • Dashboard Embedding - Provides an SDK for embedding interactive dashboards into external web applications.
  • Business Intelligence - Open source analytics built on dbt.
  • Metrics Stores - Metrics layer for BI.
  • أدوات المطور - Open source Looker alternative with deep dbt integration.
5,557 نجوم·674 تفرعات·TypeScript·other·7 مشاهدات

سجل النجوم

مخطط تاريخ النجوم لـ lightdash/lightdashمخطط تاريخ النجوم لـ lightdash/lightdash

بدائل مفتوحة المصدر لـ Lightdash

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Lightdash.
  • apache/supersetالصورة الرمزية لـ apache

    apache/superset

    73,451عرض على GitHub↗

    Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz

    TypeScriptanalyticsapacheapache-superset
    عرض على GitHub↗73,451
  • cube-js/cube.jsالصورة الرمزية لـ cube-js

    cube-js/cube.js

    20,193عرض على GitHub↗

    Cube is a semantic layer data platform that maps raw SQL databases to standardized business metrics and dimensions. It functions as a SQL dialect translator, converting abstract semantic queries into optimized SQL statements for various cloud data warehouses. The platform operates as a multi-tenant data gateway, isolating information and security permissions for different customers within a single deployment. It includes a relational caching engine that stores pre-aggregated query results to reduce latency and decrease the load on primary data warehouses. The system provides a REST-based int

    Rust
    عرض على GitHub↗20,193
  • dataease/dataeaseالصورة الرمزية لـ dataease

    dataease/dataease

    23,420عرض على GitHub↗

    DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data visualizations and managing analytical reporting. It provides a centralized environment where users can construct dashboards through a drag-and-drop interface, connecting to diverse data sources including relational databases, data warehouses, and external APIs. The platform distinguishes itself through its focus on embedded analytics and enterprise-grade governance. It allows for the seamless integration of charts, dashboards, and management modules into third-party web applications

    Javaapache-dorisbusiness-intelligencedata-analysis
    عرض على GitHub↗23,420
  • cube-js/cubeالصورة الرمزية لـ cube-js

    cube-js/cube

    20,251عرض على GitHub↗

    Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches

    Rustagentic-analyticsagentsai
    عرض على GitHub↗20,251
عرض جميع البدائل الـ 30 لـ Lightdash→

الأسئلة الشائعة

ما هي وظيفة lightdash/lightdash؟

Lightdash is an open-source business intelligence platform that treats analytics logic as code. It centralizes metric and dimension definitions in a semantic layer, allowing data teams to define business metrics in YAML files version-controlled alongside data models. This approach ensures consistent, governed data access without requiring users to write SQL.

ما هي الميزات الرئيسية لـ lightdash/lightdash؟

الميزات الرئيسية لـ lightdash/lightdash هي: AI-Powered Data Assistants, Natural Language Querying Interfaces, Business Metrics, Natural Language to SQL, Data Visualization Dashboards, dbt Model Importers, SQL-Based Semantic Layer, YAML Metric Definitions.

ما هي البدائل مفتوحة المصدر لـ lightdash/lightdash؟

تشمل البدائل مفتوحة المصدر لـ lightdash/lightdash: apache/superset — Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive… cube-js/cube.js — Cube is a semantic layer data platform that maps raw SQL databases to standardized business metrics and dimensions. It… dataease/dataease — DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data… cube-js/cube — Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and… edp963/davinci — Davinci is a business intelligence and data visualization platform used for building interactive dashboards and… plausible/analytics — This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and…