MerGram
Programmatically generate Mermaid diagrams and charts using Python.
MerGram currently supports constructing Mermaid flowcharts, with plans to expand support for additional diagram and chart types in future releases.
Features
- Build Mermaid flowcharts using Python classes
- Support for nodes, links, and subgraphs, and style assignments
- Export diagrams to Mermaid
.mmdor.mermaidfiles - Optional integration with networkx for graph conversion
What's New in
v0.3.0
Styleclass that can be used to addstyle ...lines to flowcharts- Fixes to style-related outputs for nodes
v0.2.0
Flowchart.to_markdownfunction to get a string representation of the flowchart embedded in a Markdown Mermaid code block.Flowchart.to_htmlfunction to get a string representation of the flowchart embedded in HTML.
Installation
pip install mergram
To enable networkx integration:
pip install mergram[networkx]
Usage
Basic Flowchart
from mergram.flowchart import Flowchart, Node, Link
fc = Flowchart("Example Flowchart")
a = Node("A", label="Start")
b = Node("B", label="End", shape='circle')
fc += a
fc += b
fc += Link(a, b, text="to end")
print(fc)
Generates the following mermaid diagram code:
---
title: Example Flowchart
---
flowchart TB
A@{ shape: rect, label: Start }
B@{ shape: circle, label: End }
A-->|to end|B
style A fill:#fff, stroke:#000, stroke-width:2px, color:#000
style B fill:#fff, stroke:#000, stroke-width:2px, color:#000
That looks like:
---
title: Example Flowchart
---
flowchart TB
A@{ shape: rect, label: Start }
B@{ shape: circle, label: End }
A-->|to end|B
style A fill:#fff, stroke:#000, stroke-width:2px, color:#000
style B fill:#fff, stroke:#000, stroke-width:2px, color:#000
From NetworkX
import networkx as nx
from mergram.flowchart import Flowchart
G = nx.DiGraph()
G.add_edge("A", "B", label="to B")
G.add_edge("B", "A", label="to A")
fc = Flowchart("From NetworkX", orientation='LR')
fc.from_networkx(G)
print(fc)
---
title: From NetworkX
---
flowchart LR
B@{ shape: rect, label: B }
A@{ shape: rect, label: A }
A-->|to B|B
B-->|to A|A
style A fill:#fff, stroke:#000, stroke-width:2px, color:#000
style B fill:#fff, stroke:#000, stroke-width:2px, color:#000
---
title: From NetworkX
---
flowchart LR
B@{ shape: rect, label: B }
A@{ shape: rect, label: A }
A-->|to B|B
B-->|to A|A
style A fill:#fff, stroke:#000, stroke-width:2px, color:#000
style B fill:#fff, stroke:#000, stroke-width:2px, color:#000
Export to File
fc.write("diagram.mmd")
Optional Dependencies
networkx: For converting existing graphs to Mermaid flowcharts.
License
MIT License
Contributing
Contributions are welcome! Please open issues or pull requests.
Metadata
Release files for mergram 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mergram-0.3.0.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mergram-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.7 kB
Release files / mergram-0.3.0.tar.gz
| Download URL | mergram-0.3.0.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7594fb3d4f98e3c52ab4fe34f87f3d0c724bb574d3d5cbc4702a91d6cf81c6a4
|
|
BLAKE2b-256 checksum How to use checksums |
1581606d6d8de19d01adf2a6bd4cd3d9055014e12a7c4dc5be38ea2dee835b5d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / mergram-0.3.0-py3-none-any.whl
| Download URL | mergram-0.3.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4193f57ccc67c921b40162a029f0e8c39e7c9b801b6be0f20381900d446e925c
|
|
BLAKE2b-256 checksum How to use checksums |
1985035b26d33bd15e5647867b0d9ae2187aa6b05d7b87e2314ac565cbd0266b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 11, 2025.
Transparency log