ManimCommunity / ManimCommunity/manim

Shape Selection: Gallery of all Mobjects

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enhancement
Dominant language
Python
Stars
40.9k
Forks
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Avg merge
3d 12h
Merged PRs (30d)
25

Description

Google Slides, Inkscape and lots of popular graphics programs have an overview of all their shapes:
![image](https://user-images.githubusercontent.com/44469195/130652312-311ff0a2-fe0c-4cda-a331-22363da69e1c.png)
I think we should have something similar.
A place where you can go and quickly get your Mobject, without the necessity to write the code yourself and know it by heart.
Therefore the idea:
A gallery of all existing Mobjects, as small thumbnails on a website.
That could look like this:
![image](https://user-images.githubusercontent.com/44469195/130652655-b1b8479d-0477-49d7-9d20-7480e3113963.png)
When you click on that image, automatically the code can be copied to your clipboard, e.g. for the last one you have then in the clipboard: `m= ManimBanner()`.
A place where this could be is at
https://www.manim.community/
in the documentation, or even at a completely other site.
The thumbnails+ clipboard templates could get generated when building the docs.
EDIT:
Something like this:https://fsymbols.com/signs/bullet-point/
EDIT2:
I just started with the implementation here:
https://kolibril13.github.io/mobject-gallery/

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the proposed implementation at https://kolibril13.github.io/mobject-gallery/ and the suggested placement in the documentation at https://www.manim.community/. Define the repository files, generation process, and documentation entry point before starting; done means an agreed gallery of Mobjects with usable thumbnail code-copy behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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