Apache Superset

Apache Superset是一个数据可视化和数据探索平台。「 Apache Superset is a Data Visualization and Data Exploration Platform. 」

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Superset

Apache Superset (孵化中)是一个现代的、企业级的商业智能 Web 应用程序。

「 此项目过去被命名为** Caravel **和** Panoramix ** 」

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Apache Superset

Apache Superset 是一款数据探索和可视化 Web 应用程序。

Superset 提供:

  • 一个直观的界面,用于探索和可视化数据集,以及创建交互式仪表板。
  • 各种漂亮的可视化来展示您的数据。
  • 简单,无代码的用户流程可以深入挖掘并切割暴露仪表板下的数据。仪表板和图表可作为深入分析的起点。
  • 最先进的SQL编辑器/ IDE,提供丰富的元数据浏览器,以及从任何结果集创建可视化的简单工作流程。
  • 可扩展的高粒度安全模型,允许谁可以访问哪些产品功能和数据集的复杂规则。与主要身份验证后端集成(数据库,OpenID,LDAP,OAuth,REMOTE_USER,...)
  • 轻量级语义层,允许通过定义维度和指标来控制数据源向用户公开的方式
  • 开箱即用支持大多数讲SQL的数据库
  • 与Druid的深度集成允许Superset在切割和切割大型实时数据集时保持快速
  • 快速加载仪表板,带有可配置的缓存

数据库支持

Superset 通过 SQLAlchemy 支持许多 SQL方言,SQLAlchemy 是一个与大多数 最常见的数据库 兼容的 Python ORM。

当前支持的 SQL 数据库的列表:

还应该支持其他具有适当 DB-API 驱动程序和 SQLAlchemy 方言的数据库引擎。

Apache Druid(孵化中)

除了能够查询您的关系数据库之外,Superset 还与 Druid(一个实时分布式列存储)进行深度集成。 在查询 Druid 时,Superset 可以在实时数据集之上查询大量数据。 请注意,Superset 不需要以任何方式运行 Druid,它只是它可以查询的另一个数据库后端。

以下是来自 http://druid.io 网站的 Druid 说明:

Druid是一个开源分析数据存储,专为事件数据的商业智能(OLAP)查询而设计。 德鲁伊提供低延迟(实时)数据摄取,灵活的数据探索和快速数据聚合。 现有的德鲁伊部署已经扩展到数万亿事件和数PB的数据。 德鲁伊最适合为分析仪表板和应用程序提供支持。

安装和构建

请参阅文档

资源

贡献

有兴趣参与?休闲黑客?请看 Contributing.MD

谁在使用 Apache Superset(孵化)?

这里列出了一些花时间发送公关让组织的组织名单 世界知道他们正在使用Superset。加入我们不断发展的社区!

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First version: vz 整理于2019/07/18

概覽

名稱與所有者apache/superset
主編程語言TypeScript
編程語言Python (語言數: 14)
平台Docker, Linux, Mac, Windows
許可證Apache License 2.0
發布數491
最新版本名稱superset-helm-chart-0.12.10 (發布於 )
第一版名稱0.2.0 (發布於 2015-09-05 13:43:22)
創建於2015-07-21 18:55:34
推送於2024-05-05 11:21:33
最后一次提交2024-05-03 17:23:42
星數59k
關注者數1.5k
派生數12.6k
提交數15.2k
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打開的問題數550
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Superset

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Apache Superset (incubating) is a modern, enterprise-ready
business intelligence web application

Screenshots & Gifs

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Slice & dice your data

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Choose from a wide array of visualizations

Apache Superset

Apache Superset is a data exploration and visualization web application.

Superset provides:

  • An intuitive interface to explore and visualize datasets, and
    create interactive dashboards.
  • A wide array of beautiful visualizations to showcase your data.
  • Easy, code-free, user flows to drill down and slice and dice the data
    underlying exposed dashboards. The dashboards and charts acts as a starting
    point for deeper analysis.
  • A state of the art SQL editor/IDE exposing a rich metadata browser, and
    an easy workflow to create visualizations out of any result set.
  • An extensible, high granularity security model allowing intricate rules
    on who can access which product features and datasets.
    Integration with major
    authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
  • A lightweight semantic layer, allowing to control how data sources are
    exposed to the user by defining dimensions and metrics
  • Out of the box support for most SQL-speaking databases
  • Deep integration with Druid allows for Superset to stay blazing fast while
    slicing and dicing large, realtime datasets
  • Fast loading dashboards with configurable caching

Database Support

Superset speaks many SQL dialects through SQLAlchemy, a Python
ORM that is compatible with
most common databases.

A list of currently supported SQL databases can be found
here.

Apache Druid (Incubating)!

On top of having the ability to query your relational databases,
Superset ships with deep integration with Druid (a real time distributed
column-store). When querying Druid,
Superset can query humongous amounts of data on top of real time dataset.
Note that Superset does not require Druid in any way to function, it's simply
another database backend that it can query.

Here's a description of Druid from the http://druid.io website:

Druid is an open-source analytics data store designed for
business intelligence (OLAP) queries on event data. Druid provides low
latency (real-time) data ingestion, flexible data exploration,
and fast data aggregation. Existing Druid deployments have scaled to
trillions of events and petabytes of data. Druid is best used to
power analytic dashboards and applications.

Installation & Configuration

See in the documentation

Resources

Contributing

Interested in contributing? Casual hacking? Check out
Contributing.MD

Who uses Apache Superset (incubating)?

Here's a list of organizations who have taken the time to send a PR to let
the world know they are using Superset. Join our growing community!

  1. 6play
  2. AiHello
  3. Airbnb
  4. Airboxlab
  5. Aktia Bank plc
  6. American Express
  7. Amino
  8. Apollo GraphQL
  9. Ascendica Development
  10. Astronomer
  11. bilibili
  12. Brilliant.org
  13. Capital Service S.A.
  14. Clark.de
  15. Cloudsmith
  16. CnOvit
  17. Deepomatic
  18. Dial Once
  19. Digit Game Studios
  20. Douban
  21. Endress+Hauser
  22. Faasos
  23. Fanatics
  24. FBK - ICT center
  25. Fordeal
  26. GFG - Global Fashion Group
  27. GfK Data Lab
  28. Grassroot
  29. Hostnfly
  30. HuiShouBao
  31. Intercom
  32. jampp
  33. komoot
  34. Konfío
  35. Kuaishou
  36. Lime
  37. Living Goods
  38. Lyft
  39. Maieutical Labs
  40. Myra Labs
  41. Now
  42. Ona
  43. Peak AI
  44. PeopleDoc
  45. Popoko VM Games Studio
  46. Pronto Tools
  47. QPID Health
  48. Qunar
  49. Reward Gateway
  50. Safaricom
  51. Scoot
  52. ScopeAI
  53. Shopee
  54. Shopkick
  55. Showmax
  56. source{d}
  57. Steamroot
  58. Tails.com
  59. Tenable
  60. THE ICONIC
  61. TME QQMUSIC/WESING
  62. Tobii
  63. Tooploox
  64. TrustMedis
  65. Twitter
  66. Udemy
  67. VIPKID
  68. WeSure
  69. Windsor.ai
  70. WP-Semantix
  71. Yahoo!
  72. Zaihang
  73. Zalando
  74. Zalora
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