Apache Superset
The last edition of this page was on: 2017/11/27
The Completion level of this page is : Low
The last edition of this page was on: 2017/11/27 The Completion level of this page is : Low
SHORT DESCRIPTION
Features
- A rich set of data visualizations
- An easy-to-use interface for exploring and visualizing data
- Create and share dashboards
- Enterprise-ready authentication with integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuilder)
- An extensible, high-granularity security/permission model allowing intricate rules on who can access individual features and the dataset
- A simple semantic layer, allowing users to control how data sources are displayed in the UI by defining which fields should show up in which drop-down and which aggregation and function metrics are made available to the user
- Integration with most SQL-speaking RDBMS through SQLAlchemy
- Deep integration with Druid.io
This project was originally named Panoramix, was renamed to Caravel in March 2016, and is currently named Superset as of November 2016
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Tool can perform:
- Data extraction of type: Flat file database/Logfile extractor
- Transformation of type:
- Data analysis of type: Basic statistics and data summarization
- Data visualisation of type: (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS: N/A
PROGRAMMING: N/A
SYSTEM ADMINISTRATION: N/A
DATA MINING MODELS: N/A
FREE TEXT
| Tool version : (blank line) Developed by : | 
|
SHORT DESCRIPTION
Features
- A rich set of data visualizations
- An easy-to-use interface for exploring and visualizing data
- Create and share dashboards
- Enterprise-ready authentication with integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuilder)
- An extensible, high-granularity security/permission model allowing intricate rules on who can access individual features and the dataset
- A simple semantic layer, allowing users to control how data sources are displayed in the UI by defining which fields should show up in which drop-down and which aggregation and function metrics are made available to the user
- Integration with most SQL-speaking RDBMS through SQLAlchemy
- Deep integration with Druid.io
This project was originally named Panoramix, was renamed to Caravel in March 2016, and is currently named Superset as of November 2016
TOOL CHARACTERISTICS
| Tool orientation | Data mining type | Usability |
|---|---|---|
| This tool is designed for general purpose analysis. | This tool is designed for Structured data mining. | Authors of this page consider that this tool is somewhat difficult to use. |
| Data import format | Data export format |
|---|---|
| . | . |
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Can perform data extraction of type:
Flat file database/Logfile extractor
Can perform data transformation of type:
Can perform data analysis of type:
Basic statistics and data summarization
Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")
ABOUT USER
| Tool is suitable for: | ||||
| Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑ |
| Required skills: | |||
| Statistics: | Programming: | System administration: | Data mining models: |
OTHER TOOL INFORMATION
|
| https://superset.incubator.apache.org/index.html |
Features
This project was originally named Panoramix, was renamed to Caravel in March 2016, and is currently named Superset as of November 2016 |
| General analysis |
| Organisations/Institutions/Firms |
| N/A |
| N/A |
| N/A |
| N/A |
| Web application |
| Flat file database/Logfile extractor |
| Structured data mining |
| Data extraction, Data analysis, Data visualisation |
| Basic statistics and data summarization |
| somewhat difficult to use |
| Low |