✅ Manage your projects
✨

✅ Manage your projects

October 23, 2023·
Andrée Barnier
Andrée Barnier
· 2 min read
Image credit: Unsplash
blog

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides
```

renders as

- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done,    des1, 2014-01-06,2014-01-08
Active        :active,  des2, 2014-01-07, 3d
Parallel 1   :         des3, after des1, 1d
Parallel 2   :         des4, after des1, 1d
Parallel 3   :         des5, after des3, 1d
Parallel 4   :         des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
  - [x] Write diagram example
- [ ] Do something else

renders as

  • Write math example
    • Write diagram example
  • Do something else

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Andrée Barnier
Authors
PhD in applied mathematics

I am an applied mathematician who is passionate about modelling complex systems using probabilistic and statistical tools.

During my PhD at MaIAGE, INRAE under the supervision of Patrick Hoshceit, Elisabeta Vergu and Estelle Khun, I focused on developing spatialy embedded probabilistic models to help understand the commercial cattle network in France using random graph models. I was particularly interested in the spread of epidemics on random graphs, as well as parameter inference using approximate statistical methods based on simulations.