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Python: TreeMap visualization of hierarchical Pandas DataFrame

The Plotly graphing library has a wide array of visualizations for datasets.  And it has native support for Pandas DataFrame, which makes it convenient for datasets coming from a wide range of sources. One visualization that I find particularly useful for hierarchical data is the TreeMap, which can group on data lineage, uses area as Python: TreeMap visualization of hierarchical Pandas DataFrame

Docker: Visualizing image hierarchy and container dependency using dockviz

The Docker console commands for listing and viewing containers and images (ps, images, history, inspect) provides a wealth of information, but when you are managing hundreds of containers, a graph view of the container inventory and their dependencies can be critical for operations. Dockviz can help you visualize your containers and images by creating an PNG image Docker: Visualizing image hierarchy and container dependency using dockviz

Grafana: Connecting to an ElasticSearch datasource

The ElasticSearch stack (ELK) is popular open-source solution that serves as both repository and search interface for a wide range of applications including: log aggregation and analysis, analytics store, search engine, and document processing. Its standard web front-end, Kibana, is a great product for data exploration and dashboards.  However, if you have multiple data sources Grafana: Connecting to an ElasticSearch datasource