Based on our record, Jupyter seems to be a lot more popular than LucidChart. While we know about 205 links to Jupyter, we've tracked only 5 mentions of LucidChart. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm thinking something like a lucidchart.com set up, but also wondering since one project is complete if there is anything that can just analyze an existing codebase and automatically do the work for me. Source: over 2 years ago
Oh! excalidraw.com is great for quick paper style diagrams. I have used it a fair bit. The roam integration is good. But I always revert back to draw.io because it's open sourced, simple to use and just works :D If you are looking for more, a paid option would be lucidchart.com. Source: over 2 years ago
You could try lucidchart.com or draw.io. I have used both. Source: about 3 years ago
Otherwise, you may be thinking about a "mind-map" of sorts... Simply to show relationships? Diagrams.net, lucidchart.com. Source: about 3 years ago
What is difference between Yours tool and others like arcentry.com lucidchart.com cloudcraft.co hava.io ? Would be nice to support diagrams as code ( generated from kubernetes states, terraform, pulumi, etc..) Personally I dont think that another diagram tool can beat ^ platforms. Source: about 3 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 10 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 21 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 16 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
draw.io - Online diagramming application
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.