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Plateformes de Business Intelligence auto-hébergées

Classement mis à jour le 30 juin 2026

For une alternative auto-hébergée à Looker, the strongest matches are apache/incubator-superset (Apache Superset is a self-hostable business intelligence platform that), tencentmusic/supersonic (Supersonic is a self-hostable BI platform built around a) and apache/superset (Apache Superset is a web-based business intelligence platform that). lightdash/lightdash and metabase/metabase round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.

Outils de visualisation et d'analyse de données open source fournissant des couches de métriques centralisées pour la business intelligence auto-hébergée.

Plateformes de Business Intelligence auto-hébergées

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • apache/incubator-supersetAvatar de apache

    apache/incubator-superset

    73,325Voir sur GitHub↗

    This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T

    Apache Superset is a self-hostable business intelligence platform that includes a built-in semantic data layer for defining standardized metrics and dimensions, along with a SQL query editor, interactive dashboards, role-based access control, and scheduled reporting—exactly the alternative to Looker this search is after.

    TypeScriptRole-Based Access ControlRole-Based Access Control SystemsSemantic Data Models
    Voir sur GitHub↗73,325
  • tencentmusic/supersonicAvatar de tencentmusic

    tencentmusic/supersonic

    4,913Voir sur GitHub↗

    Supersonic is an LLM-based data analysis platform and semantic layer engine that translates natural language questions into executable SQL queries. It functions as a business intelligence dashboard and text-to-SQL interface, allowing users to retrieve business metrics and insights through a conversational interface. The system decouples business definitions from physical database schemas by using a governed logical layer to define unified metrics and dimensions. This semantic modeling allows the platform to map human language patterns to curated models and translate abstract semantic statemen

    Supersonic is a self-hostable BI platform built around a governed semantic layer for unified metrics and dimensions, directly matching the need for a Looker alternative with a dedicated metrics layer, and includes role-based access, an API, and natural-language querying.

    JavaBI Semantic LayersRole-Based Access ControlSemantic Data Models
    Voir sur GitHub↗4,913
  • apache/supersetAvatar de apache

    apache/superset

    73,451Voir sur 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

    Apache Superset is a web-based business intelligence platform that matches the visitor's search perfectly — it is self-hostable, includes a dedicated semantic layer for virtual metrics and calculated columns, and offers interactive dashboards, a SQL query builder, role-based access control, a REST API, and scheduled reports, making it a direct open-source alternative to Looker.

    TypeScriptRole-Based Access ControlSemantic MetricsSQL-Based Semantic Layer
    Voir sur GitHub↗73,451
  • lightdash/lightdashAvatar de lightdash

    lightdash/lightdash

    5,557Voir sur GitHub↗

    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 qu

    Lightdash is an open-source BI platform that centralizes business metrics in a YAML-defined semantic layer, directly matching the Looker-alternative intent, and it is self-hostable with dashboards, RBAC, scheduled reports, and an API, covering the required features comprehensively.

    TypeScriptRole-Based Access ControlSQL-Based Semantic Layer
    Voir sur GitHub↗5,557
  • metabase/metabaseAvatar de metabase

    metabase/metabase

    47,696Voir sur GitHub↗

    Metabase is a business intelligence platform designed to connect to various storage systems and relational databases for data exploration, visualization, and reporting. It provides a centralized environment where users can build queries through a graphical interface or raw code, transforming raw information into interactive dashboards and charts. The platform is built to support self-service analytics, allowing non-technical team members to extract insights without requiring deep knowledge of database syntax. The platform distinguishes itself through a metadata-driven modeling layer that abst

    Metabase is a self-hosted business intelligence platform with a metadata-driven modeling layer (its Models and Metrics) that serves as a dedicated semantic/metrics layer, plus SQL query builder, dashboards, role-based access, API, and scheduled reports—directly fitting the Looker alternative this search targets.

    ClojureRole-Based Access ControlsSemantic Data Models
    Voir sur GitHub↗47,696
  • dataease/dataeaseAvatar de dataease

    dataease/dataease

    23,420Voir sur 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

    DataEase is a self-hosted business intelligence platform for building dashboards and visualizations, but it does not appear to include a dedicated semantic/metrics layer comparable to Looker's, so it fits the category but lacks the defining feature you specifically require.

    JavaRole-Based Access ControlRole-Based Access Control SystemsSQL Query Builders
    Voir sur GitHub↗23,420

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