See your data and your knowledge
Every visualization directory on this site in one place: charts, dashboards and time series tools for data, and graph, knowledge graph and ontology tools for connected knowledge.
Data visualization
Knowledge & graph visualization
Process & concept visualization
Dashboards & monitoring
Featured tools
Open and commercial tools worth knowing, with the official sites. Opens in a new tab.
Choosing a tool
A starting point by what you need to show.
| Charts for a report or web page | Chart.js, Plotly, Datawrapper or D3.js |
|---|---|
| Fully custom or interactive graphics | D3.js or a charting library with a rich API |
| Business dashboards for non-technical users | BI platforms such as Power BI, Looker or Apache Superset |
| Metrics, logs and traces from running systems | Grafana or an observability platform |
| Time series exploration in Python | Plotly, Matplotlib or Seaborn |
| Connected data and relationships | A graph database plus Gephi, Cytoscape.js, Sigma.js or Neo4j's visual tools |
| Maps and geospatial data | Kepler.gl or a mapping library |
Frequently asked questions
Quick answers.
What is data visualization?
Data visualization turns data into charts, maps and dashboards so patterns, trends and outliers are easier to see than in tables of numbers.
What is knowledge visualization?
Knowledge visualization shows how concepts and entities relate, usually as graphs of nodes and edges. It is used for knowledge graphs, ontologies, network analysis and explaining how information connects.
How do I pick a visualization tool?
Start from the audience and the data. Business users usually want a dashboard platform, developers may prefer a library, and connected data is best explored with graph visualization tools.
Do I need a graph database to visualize a knowledge graph?
Not always, but graph databases and triple stores store the relationships natively, and many come with visual exploration tools. Libraries like Cytoscape.js and Sigma.js can also draw graphs from any source.
Where are the detailed directories?
This page links to the in-depth directories on this site: data visualization tools, time series visualization, BI platforms, and the graph and knowledge graph directories.