Bokeh
Plotly
D3.js
RAWGraphs
Highcharts
NVD3
Chart.js
CanvasJS
Apache Superset
Grafana
Tableau
Metabase
Microsoft Power BI
Looker
LinceBI
Tableau Public
Bokeh Apache SupersetBased on our record, Apache Superset seems to be a lot more popular than Bokeh. While we know about 51 links to Apache Superset, we've tracked only 5 mentions of Bokeh. 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.
Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 2 years ago
Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 2 years ago
It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 3 years ago
Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 4 months ago
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 10 months ago
If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 10 months ago
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / 12 months ago
For charting, I use superset. It is a good solution if you have a server, but a bit difficult to install. You can use hledger2psql to convert the journal to a database and you can use the docker-compose file included to install with one command. Source: about 1 year ago
Plotly - Low-Code Data Apps
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
