Software Alternatives & Reviews

Bokeh VS Tatsu

Compare Bokeh VS Tatsu and see what are their differences

Bokeh logo Bokeh

Bokeh visualization library, documentation site.

Tatsu logo Tatsu

Standup meetings for remote teams.
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • Tatsu Landing page
    Landing page //
    2021-10-01

Bokeh videos

"Bokeh" - Netflix Film Review

More videos:

Tatsu videos

Tatsu Review Six Flags Magic Mountain B&M Flying Coaster

More videos:

  • Review - Tatsu Full In-Depth Review | Six Flags Magic Mountain’s Insane Flying Coaster
  • Review - Tatsu Review | Six Flags Magic Mountain B&M Flying Coaster

Category Popularity

0-100% (relative to Bokeh and Tatsu)
Charting Libraries
100 100%
0% 0
Project Management
0 0%
100% 100
Data Visualization
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Bokeh and Tatsu

Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...

Tatsu Reviews

We have no reviews of Tatsu yet.
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Social recommendations and mentions

Based on our record, Bokeh seems to be more popular. It has been mentiond 5 times since March 2021. 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.

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
  • Profiling workflows with the Amazon Genomics CLI
    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
  • 10 Python Libraries For Data Visualization
    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
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
  • Help with Bokeh Interactive Plot
    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

Tatsu mentions (0)

We have not tracked any mentions of Tatsu yet. Tracking of Tatsu recommendations started around Mar 2021.

What are some alternatives?

When comparing Bokeh and Tatsu, you can also consider the following products

Plotly - Low-Code Data Apps

Standup Bot - An easy to use bot that automates your team’s standups, check-ins or any kind of recurring status update meetings, without breaking the bank.

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.

Standuply - Run daily standup meetings and track your metrics in Slack

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Stork.ai - AI-Based Collaboration for Hybrid Teams. Rich media messaging, advanced video and voice conferencing, auto-transcribing and screen sharing. Serendipitous meetings at the water-cooler with your human and AI teammates.