diagrams alternatives and similar packages
Based on the "Data Visualization" category.
Alternatively, view diagrams alternatives based on common mentions on social networks and blogs.
Apache Superset9.8 9.9 L2 diagrams VS Apache SupersetApache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
redash9.7 8.6 L4 diagrams VS redashMake Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
matplotlib9.6 9.9 L3 diagrams VS matplotlibmatplotlib: plotting with Python
bokeh9.5 9.7 L4 diagrams VS bokehInteractive Data Visualization in the browser, from Python
plotly9.4 9.6 L2 diagrams VS plotlyThe interactive graphing library for Python :sparkles: This project now includes Plotly Express!
seaborn9.2 9.3 L2 diagrams VS seabornStatistical data visualization in Python
folium8.8 0.0 diagrams VS foliumPython Data. Leaflet.js Maps.
Altair8.7 9.5 diagrams VS AltairDeclarative statistical visualization library for Python
PyQtGraph7.9 9.3 L2 diagrams VS PyQtGraphFast data visualization and GUI tools for scientific / engineering applications
ggplot7.7 0.0 L4 diagrams VS ggplotggplot port for python
bqplot7.5 6.9 diagrams VS bqplotPlotting library for IPython/Jupyter notebooks
VisPy7.4 9.3 L3 diagrams VS VisPyMain repository for Vispy
Flask JSONDash7.2 2.1 diagrams VS Flask JSONDash:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
plotnine7.1 4.0 diagrams VS plotnineA grammar of graphics for Python
pygal6.9 0.0 L2 diagrams VS pygalPYthon svg GrAph plotting Library
vincent6.7 0.0 L4 diagrams VS vincentA Python to Vega translator.
SnakeViz5.9 6.9 L4 diagrams VS SnakeVizAn in-browser Python profile viewer
Cartopy5.7 9.0 diagrams VS CartopyCartopy - a cartographic python library with matplotlib support
Graphviz5.4 7.5 diagrams VS GraphvizSimple Python interface for Graphviz
pygraphviz4.5 7.7 L3 diagrams VS pygraphvizPython interface to Graphviz graph drawing package
pydot4.4 0.0 diagrams VS pydotPython interface to Graphviz's Dot language
tuna4.3 4.7 diagrams VS tuna:fish: Python profile viewer
ipyvizzu4.2 8.3 diagrams VS ipyvizzuBuild animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
gif3.5 0.0 diagrams VS gifThe matplotlib Animation Extension
GR3.0 7.4 diagrams VS GRGR framework: a graphics library for visualisation applications
GooPyCharts2.5 0.0 L4 diagrams VS GooPyChartsA Google Charts API for Python, meant to be used as an alternative to matplotlib.
SVGIS1.5 2.1 L4 diagrams VS SVGISDraw SVG maps with geodata
chart1.3 0.0 diagrams VS chartCharts with pure python
Write Clean Python Code. Always.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of diagrams or a related project?
Diagram as Code.
Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture design without any design tools. You can also describe or visualize the existing system architecture as well. Diagrams currently supports main major providers including:
Oracle Cloud etc... It also supports
SaaS and major
Programming frameworks and languages.
Diagram as Code also allows you to track the architecture diagram changes in any version control system.
NOTE: It does not control any actual cloud resources nor does it generate cloud formation or terraform code. It is just for drawing the cloud system architecture diagrams.
It requires Python 3.6 or higher, check your Python version first.
It uses Graphviz to render the diagram, so you need to install Graphviz to use diagrams. After installing graphviz (or already have it), install the diagrams.
macOS users can download the Graphviz via
brew install graphvizif you're using Homebrew.
# using pip (pip3) $ pip install diagrams # using pipenv $ pipenv install diagrams # using poetry $ poetry add diagrams
You can start with quick start. Check out guides for more details, and you can find all available nodes list in here.
|Event Processing||Stateful Architecture||Advanced Web Service|
You can find all the examples on the examples page.
To contribute to diagram, check out [contribution guidelines](CONTRIBUTING.md).
Let me know if you are using diagrams! I'll add you in showcase page. (I'm working on it!) :)
Who uses it?
GitPitch is the perfect slide deck solution for Tech Conferences, Training, Developer Advocates, and Educators. Diagrams is now available as a dedicated Cloud Diagram Markdown Widget so you can use Diagrams directly on any slide for conferences, meetups, and training.
Cloudiscovery helps you to analyze resources in your cloud (AWS/GCP/Azure/Alibaba/IBM) account. It allows you to create a diagram of analyzed cloud resource map based on this Diagrams library, so you can draw your existing cloud infrastructure with Cloudiscovery.
Airflow Diagrams is an Airflow plugin that aims to easily visualise your Airflow DAGs on service level from providers like AWS, GCP, Azure, etc. via diagrams.
- If you are familiar with Go, you can use go-diagrams as well.
*Note that all licence references and agreements mentioned in the diagrams README section above are relevant to that project's source code only.