Highcharts JS
dash
Highcharts JS | dash | |
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46 | 56 | |
11,831 | 20,502 | |
0.4% | 0.7% | |
10.0 | 9.6 | |
1 day ago | 7 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Highcharts JS
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JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024
Highcharts.js
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Wanted: Business Intelligence/Analytics/Visualization Consultant/Developer
For background, our environment is hosted in AWS and our data warehouse is in redshift. We currently use [High Charts](https://www.highcharts.com/) to render simple, in-app reports. We are pretty happy with High Charts, it is highly preferred over the other solutions by our dev team. We use [SciSense](https://www.sisense.com/) for the more advanced dashboards/reports both in-app and in a reporting app. I will simply say we are not happy with SciSense for a multitude of reasons. Finally for internal facing dashboarding and reporting we use MS Power BI. We will not use this solution for customer facing applications due to it's numerous UX "paper cuts" (a bunch of little things that combined make it a less than ideal UX, in our opinion).
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What python library you are using for interactive visualisation?(other than plotly)
Yep, the JS package is owned and maintained by Highsoft (www.highcharts.com), while the Python package is owned and maintained by one of my companies (HCP LLC). I’ve partnered with Highsoft, which means that you can get both the JS libraries and the Python package (which is a paid add-on for commercial use) from them ( https://shop.highcharts.com ).
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Graph lib in angular
My team plans to use High Charts https://www.highcharts.com/ . I don't believe they are Angular native, but easily wrapped with Angular.
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Best Open-Source Visualization Libraries: Seeking Recommendations and Experiences
Hey u/philthenin, thanks for the reply, yeah highcharts is also a cool library. Seems it is open source: https://github.com/highcharts/highcharts
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PHP chart libraries
its not php/composer, but if you can send the data to an html file, you can use HighCharts to turn the json data model into various nifty charts. It's javascript.
- [Pcmasterrace] Écran de surveillance à l'intérieur d'un boîtier PC
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Help with making graphs and charts
I would recommend Highcharts. It can be a bit overwhelming to begin with but it lets you build whatever kind of chart you want.
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The technology behind GitHub’s new code search
I am searching this repository
https://github.com/highcharts/highcharts
for Series.drawPoint and expecting a direct hit for
https://github.com/highcharts/highcharts/blob/29d2a83a5a997b...
practically I tried "Series" and "drawPoint" also.
- How do you make these graphics? Is there a software or is it done thru Figma?
dash
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dash VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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[Python] NiceGUI: Lassen Sie jeden Browser das Frontend für Ihren Python-Code sein
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.
- Visualizing parquet in s3 bucket for data analysis?
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Little guidance of a python newbie
You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.
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Launch HN: Pynecone (YC W23) – Web Apps in Pure Python
Useful list. Dash & bokeh as two more in the space
https://github.com/plotly/dash
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Python projects with best practices on Github?
I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.
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4 Streamlit Alternatives for Building Python Data Apps
Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)
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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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Sharing interactive Plotly graphs
looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145
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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.
What are some alternatives?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
streamlit - Streamlit — A faster way to build and share data apps.
recharts - Redefined chart library built with React and D3
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
vega - A visualization grammar.
panel - Panel: The powerful data exploration & web app framework for Python
Chart.js - Simple HTML5 Charts using the <canvas> tag
uvicorn - An ASGI web server, for Python. 🦄
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
Flask - The Python micro framework for building web applications.
c3 - :bar_chart: A D3-based reusable chart library
nicegui - Create web-based user interfaces with Python. The nice way.