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# Visual Interfaces from Third-party Developers
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## Open-Source
### Tabix
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Web interface for ClickHouse in the [Tabix ](https://github.com/tabixio/tabix ) project.
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Features:
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- Works with ClickHouse directly from the browser, without the need to install additional software.
- Query editor with syntax highlighting.
- Auto-completion of commands.
- Tools for graphical analysis of query execution.
- Color scheme options.
[Tabix documentation ](https://tabix.io/doc/ ).
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### HouseOps
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[HouseOps ](https://github.com/HouseOps/HouseOps ) is a UI/IDE for OSX, Linux and Windows.
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Features:
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- Query builder with syntax highlighting. View the response in a table or JSON view.
- Export query results as CSV or JSON.
- List of processes with descriptions. Write mode. Ability to stop (`KILL`) a process.
- Database graph. Shows all tables and their columns with additional information.
- Quick view of the column size.
- Server configuration.
The following features are planned for development:
- Database management.
- User management.
- Real-time data analysis.
- Cluster monitoring.
- Cluster management.
- Monitoring replicated and Kafka tables.
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### LightHouse
[LightHouse ](https://github.com/VKCOM/lighthouse ) is a lightweight web interface for ClickHouse.
Features:
- Table list with filtering and metadata.
- Table preview with filtering and sorting.
- Read-only queries execution.
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### Redash
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[Redash ](https://github.com/getredash/redash ) is a platform for data visualization.
Supports for multiple data sources including ClickHouse, Redash can join results of queries from different data sources into one final dataset.
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Features:
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- Powerful editor of queries.
- Database explorer.
- Visualization tools, that allow you to represent data in different forms.
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### DBeaver
[DBeaver ](https://dbeaver.io/ ) - universal desktop database client with ClickHouse support.
Features:
- Query development with syntax highlight and autocompletion.
- Table list with filters and metadata search.
- Table data preview.
- Full text search.
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### clickhouse-cli
[clickhouse-cli ](https://github.com/hatarist/clickhouse-cli ) is an alternative command line client for ClickHouse, written in Python 3.
Features:
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- Autocompletion.
- Syntax highlighting for the queries and data output.
- Pager support for the data output.
- Custom PostgreSQL-like commands.
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### clickhouse-flamegraph
[clickhouse-flamegraph ](https://github.com/Slach/clickhouse-flamegraph ) is a specialized tool to visualize the `system.trace_log` as [flamegraph ](http://www.brendangregg.com/flamegraphs.html ).
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## Commercial
### DataGrip
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[DataGrip ](https://www.jetbrains.com/datagrip/ ) is a database IDE from JetBrains with dedicated support for ClickHouse. It is also embedded into other IntelliJ-based tools: PyCharm, IntelliJ IDEA, GoLand, PhpStorm and others.
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Features:
- Very fast code completion.
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- ClickHouse syntax highlighting.
- Support for features specific to ClickHouse, for example nested columns, table engines.
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- Data Editor.
- Refactorings.
- Search and Navigation.
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### Holistics Software
[Holistics ](https://www.holistics.io/ ) is a full-stack data platform and business intelligence tool.
Features:
- Automated email, Slack and Google Sheet schedules of reports.
- SQL editor with visualizations, version control, auto-completion, reusable query components and dynamic filters.
- Embedded analytics of reports and dashboards via iframe.
- Data preparation and ETL capabilities.
- SQL data modeling support for relational mapping of data.
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### Looker
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[Looker ](https://looker.com ) is a data platform and business intelligence tool with support for 50+ database dialects including ClickHouse. Looker is available as a SaaS platform and self-hosted. Users
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can use Looker via the browser to explore data, build visualizations and dashboards, schedule reports, and share their
insights with colleagues. Looker provides a rich set of tools to embed these features in other applications, and an API
to integrate data with other applications.
Features:
- Easy and agile development using LookML, a language which supports currated
[Data Modeling ](https://looker.com/platform/data-modeling ) to support report writers and end users.
- Powerful workflow integration via Looker's [Data Actions ](https://looker.com/platform/actions ).
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[Original article ](https://clickhouse.tech/docs/en/interfaces/third-party/gui/ ) <!--hide-->
