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Dash Alternatives
Similar projects and alternatives to dash
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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appsmith
Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.
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d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
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Quasar Framework
Quasar Framework - Build high-performance VueJS user interfaces in record time
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Yacht
A web interface for managing docker containers with an emphasis on templating to provide 1 click deployments. Think of it like a decentralized app store for servers that anyone can make packages for.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
dash reviews and mentions
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NiceGUI: Let any browser be the frontend for your Python code
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.
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Containerizing Shiny for Python and Shinylive Applications
Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.
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How can I build interactive plots using Matplotlib/Numpy?
Take a look at streamlit and dash. Matplotlib widgets might also be of interest.
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Looking for web app generator from JSON data
Dash
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What are data apps?
There also are data application frameworks that are helpful here: tools like Plotly Dash and Streamlit make it possible to turn data scripts into shareable web applications without the need for front-end development.
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AAD auth for Plotly Dash
One particular interesting case is Dash by Plotly. While I myself have previously used Bokeh, I quickly made the transition to Dash since I felt it was more ready for usage as a deployed application. Additionally, having access to Plotly as a charting library is a big plus because it is such a successful open-source project with a strong community and a fantastic library.
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[Q] What industries use R over Python? Is it better to learn Python rather than R? I will be learning both, but want to know which I should focus on more.
Shiny is pretty great, but python has dash and streamlit, which in my opinion are nicer to use.
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What's the future of d3.js and is there a good alternative for interactive maps w/ plots?
I also forgot to mention that you should check out Dash, which I think is like Plotly's version of Shiny (I've never used Shiny, but it looks similar).
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How to structurize my tool
Alternatively, you could look at doing the dashboard in Python rather than Vue.js using something like dash.
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I want to build a web app that people can use to view real time financial data, interact with charts etc. How would i go about doing something like this in Django?
https://plotly.com/dash/ Their premium software. There is a free version and a paid business version.
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Feb 2023
Stats
plotly/dash is an open source project licensed under MIT License which is an OSI approved license.