Mural
Miro
Figma
Stormboard
Conceptboard
Adobe XD
MockFlow
Axure
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Mural JupyterBased on our record, Jupyter seems to be a lot more popular than Mural. While we know about 206 links to Jupyter, we've tracked only 10 mentions of Mural. 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.
Https://mural.co/ Mural has a free tier. I did not used it much but was nice. - Source: Hacker News / 9 months ago
How you formulate your research questions e.g. Research objective generation workshop and where you store and manage your backlog e.g. mural, miro, excel, uxbacklog. Source: about 1 year ago
Transparency of work. Whether youre using https://mural.co for collab analysis, usertesting so people can observe or something as simple as https://uxbacklog.co for a research backlog, giving visibility to the team really helps in building awareness and UR expectation but also gets UR in the pipeline / process. Source: about 1 year ago
For instance, mural.co is pretty good. However, it doesnt have the feature I described with which you can colapse knots od your mindmap. Source: over 1 year ago
Super early on in the brainstorming stage we'd use something like mural.co for the "ideating" stage and then quickly move to lucidchart for diagrams and early architecture. Source: over 1 year ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 2 months 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 / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months 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 / 2 months 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 / 4 months ago
Miro - Scalable, secure, cross-device and enterprise-ready team collaboration tool for distributed teams. Join 2M+ users & 8000+ teams from around the world.
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.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Stormboard - Stormboard empowers data-driven companies to turn their unstructured whiteboards into data-rich collaborative workspaces; enabling data-driven decisions and efficient processes — often eliminating the need for meetings entirely.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
