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Planning Poker for teams VS Openbox

Compare Planning Poker for teams VS Openbox and see what are their differences

Planning Poker for teams logo Planning Poker for teams

Estimation for agile teams

Openbox logo Openbox

Openbox is a highly configurable, next generation window manager with extensive standards support.
  • Planning Poker for teams Landing page
    Landing page //
    2020-05-05
  • Openbox Landing page
    Landing page //
    2023-09-06

Planning Poker for teams videos

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Openbox videos

Get Rid Of That Bloated Desktop Environment And Install Openbox

More videos:

  • Review - Manjaro Openbox: First Impressions and Review
  • Tutorial - Openbox V8S Review- How to get Free TV!!!

Category Popularity

0-100% (relative to Planning Poker for teams and Openbox)
Productivity
100 100%
0% 0
Linux
0 0%
100% 100
Task Management
100 100%
0% 0
Window Manager
0 0%
100% 100

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Openbox Reviews

Top 10 Best Desktop Environments in 2020
People who’re deep into Linux, love Openbox’s simplicity. It’s extremely lightweight, and comes with only a text-based right-click menu that lists all your applications. The menu is customizable too, and you can add scripts or functions within the menu as a link.

What are some alternatives?

When comparing Planning Poker for teams and Openbox, you can also consider the following products

Chpokify - Planning Poker Tool that saves time of sprint estimation. Agile teams management tools. Jira Integration (Import/Export), auto-summary, smart voting management.

i3 - A dynamic tiling window manager designed for X11, inspired by wmii, and written in C.

Planning Poker - Open source implementation of planning poker game (collaborative online estimation/voting tool).

awesome - A dynamic window manager for the X Window System developed in the C and Lua programming languages.

Planning Poker by Standuply - Asynchronous planning poker via Slack task-based surveys

dwm - dwm is a dynamic window manager for X. It manages windows in tiled, monocle and floating layouts. All of the layouts can be applied dynamically, optimising the environment for the application in use and the task performed.