What is Bokeh and what are its top alternatives?
Top Alternatives to Bokeh
Plotly.jsIt is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more. ...
MatplotlibIt is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits. ...
DashDash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included. ...
D3.jsIt is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework. ...
TableauTableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. ...
ShinyIt is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge. ...
Chart.jsVisualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions. ...
HighchartsHighcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. ...
Bokeh alternatives & related posts
- Bindings to popular languages like Python, Node, R, etc16
- Integrated zoom and filter-out tools in charts and maps10
- Great support for complex and multiple axes9
- Powerful out-of-the-box featureset8
- Beautiful visualizations6
- Active user base4
- Impressive support for webgl 3D charts4
- Webgl chart types are extremely performant3
- Charts are easy to share with a cloud account3
- Publication quality image export2
- Easy to use online editor for creating plotly.js charts2
- Interactive charts2
- Terrible document16
related Plotly.js posts
We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.
If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.
- The standard Swiss Army Knife of plotting10
- Lots of code5
related Matplotlib posts
Hi - I am looking to develop an app accessed by a browser that will display interactive networks (including adding or deleting nodes, edges, labels (or changing labels) based on user input. Look to use Django at the backend. Also need to manage graph versions if one person makes a graph change while another person is looking at it. Mainly tree networks for starters anyway. I probably will use the Networkx package. Not sure what the pros and cons are using Bokeh vs Matplotlib. I would be grateful for any comments or suggestions. Thanks.
- Dozens of API docs and Cheat-Sheets17
- Great for offline use12
- Works with Alfred8
- Excellent documentation8
- Quick API search8
- Fast5
- Good integration with Xcode and AppCode3
- Great for mobile dev work2
related Dash posts
- Beautiful visualizations190
- Svg100
- Data-driven91
- Large set of examples80
- Data-driven documents60
- Visualization components23
- Transitions20
- Dynamic properties18
- Plugins16
- Transformation11
- Makes data interactive7
- Components4
- Enter and Exit4
- Exhaustive3
- Backed by the new york times3
- Open Source3
- Easy and beautiful2
- Angular 41
- Awesome Community Support1
- Simple elegance1
- 1231
- Templates, force template1
- Beginners cant understand at all10
- Complex syntax5
- 1231
related D3.js posts
We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.
If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.
I'm a student, and I have a project to build an application (Visual analytics tool) that takes a Microsoft Excel file, cleans the data, and visualizes it. Also, the app should allow the user to filter and interact with it.
1- should I make it desktop application or web application? : I'm leaning toward (desktop)
2- D3.js OR Python?
3- better excel or CSV?
I'm a beginner Inspiration for interaction and look of the app: eventflow application.
- Capable of visualising billions of rows6
- 31
- Intuitive and easy to learn1
- Responsive1
- Very expensive for small companies1
related Tableau posts
Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.
- R Compatibility8
- Free3
- Highly customizable and extensible2
related Shiny posts
- Offers all types of charts16
- Interactive Charts12
- It's totally free9
- Slow rendering12
- Bitmap quality export2
- Low quality zoom plugin1
- It's totally free0
related Chart.js posts
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.
Highcharts
- Low learning curve and powerful32
- Multiple chart types such as pie, bar, line and others16
- Responsive charts12
- Handles everything you throw at it8
- Extremely easy-to-parse documentation7
- Easy to customize color scheme and palettes5
- Built-in export chart as-is to image file4
- Export on server side, can be used in email1
- Uu1
- It is nice0
- Expensive8
related Highcharts posts
Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.