PyMath Preview – preview LaTeX math in Python docstrings inside VS Code
LaTeX preview for Python docstrings, but Markdown Preview and Quarto already handle this.
PHART: Python Hierarchical ASCII Rendering Tool - A Pure Python library and console CLI tool that renders graphs (NetworkX, GraphML, GraphViz/DOT) as diagrams/charts using 7-bit ASCII, (or 8-bit, Unicode, ANSI-color) or other plain-text output formats (SVG, HTML, Mermaid, etc.)
ASCII graph art with 10+ layouts, but GraphViz and matplotlib already solve this visually better.
Python developers building graph visualizations, terminal-based data explorers, systems engineers documenting architectures
GraphViz · matplotlib · NetworkX visualization examples
In the post, as I tried to capture in the title submitted, I outline my journey of exploration, when I became determined to make GitHub-Flavored Markdown display my text, with color, style and alignment of my choosing, which as I discovered after setting out to do so, the inability to do such a thing outside of fenced blocks with pre-defined syntax highlighting is a well-known condition, which is met with "works as intended" response because, well, GitHub doesn't want their repos looking like MySpace or Geocities or presenting security risk exposure by allowing arbitrary html/CSS styling. Sure, I should have used GitHub Pages to build a page from my Markdown using Jekyll, which is a supported way to control the styling of your own documents in your repo, but where's the fun in that?
The linked post documents the workaround I arrived at, which became an output target format that nobody has ever asked for from my ASCII line-Art diagramming tool. I thought some here might appreciate the documentation of "wasting my time so you don't have to" on a technical solution for a problem I probably just shouldn't have cared about and moved on.
LaTeX preview for Python docstrings, but Markdown Preview and Quarto already handle this.
SQLGlot-powered formatter for Python-embedded SQL with template-aware skipping.
Native macOS feel without Electron bloat; offline LaTeX and Mermaid support.
Self-contained HTML bundles beat Plotly's server dependency for sharing scientific figures.
LLM with simulated exhaustion state—forces grounded prose when stressed, prevents inventory hallucinations.
HTML-to-PNG for social posts when Canva and Figma already export directly.