Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/LogCreative/PGFPlotsEdt

Faster to PGFPlot in LaTeX - A PGFPlots Statistic Graph Interactive Editor; PGFPlots Online
https://github.com/LogCreative/PGFPlotsEdt

graph latex llama3 llm pgfplots

Last synced: 12 days ago
JSON representation

Faster to PGFPlot in LaTeX - A PGFPlots Statistic Graph Interactive Editor; PGFPlots Online

Host: GitHub
URL: https://github.com/LogCreative/PGFPlotsEdt
Owner: LogCreative
License: agpl-3.0
Created: 2020-09-20T15:46:55.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2024-08-18T00:49:35.000Z (4 months ago)
Last Synced: 2024-10-30T00:52:10.163Z (about 2 months ago)
Topics: graph, latex, llama3, llm, pgfplots
Language: JavaScript
Homepage: https://logcreative.github.io/PGFPlotsEdt/
Size: 19.6 MB
Stars: 65
Watchers: 2
Forks: 3
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

README

        ![](res/logo/banner.png)

## PGFPlotsEdt - Faster to PGFPlot in LaTeX

### A PGFPlots Statistic Graph Interactive Editor.

[Online website](https://logcreative.github.io/PGFPlotsEdt/index.html) | [Documentation](https://logcreative.github.io/PGFPlotsEdt-doc/pgfplotsedt.pdf) | [Video](https://www.youtube.com/watch?v=SRZqbhqBcZY&list=PLLu4lSdFKgjXGxlWuPDG-g1sfzzidUrrV) | [网站(简体中文)](https://logcreative.tech/PGFPlotsEdt/index.html?lang=chs) | [文档(简体中文)](https://logcreative.tech/PGFPlotsEdt-doc/pgfplotsedt_chs.pdf) | [视频(简体中文)](https://www.bilibili.com/video/BV1f5ebeREet)

#### Introduction

PGFPlots is a remarkable package in LaTeX, to create precise, vectorized, and highly personalized statistic graphs. You could get more information about PGFPlots package on https://github.com/pgf-tikz/pgfplots, thank all those contributors for creating a useful package to plot in LaTeX natively.

PGFPlotsEdt is basically a frontend for this package, to generate PGFPlots code automatically through a web-based user interface. This project is under [LaTeX Sparkle Project](https://logcreative.github.io/LaTeXSparkle/), you could also get some tips on PGFPlots on [this webpage](https://logcreative.github.io/LaTeXSparkle/src/art/chapter06.html).

TikzEdt is the inspiration of this project, to create LaTeX TikZ graph in WYSIWYG (what you see is what you get) mode. You could download this software on [TikzEdt homepage](http://www.tikzedt.org/), you could also get more tips on TikZEdt on [this webpage](https://logcreative.github.io/LaTeXSparkle/src/art/chapter04.html).

#### Usage

- **Online version** You could use the online version directly:

    https://logcreative.github.io/PGFPlotsEdt/ 

    ![PGFPlotsEdt](docs/figs/home.jpg)

- **Deployment version** PGFPlotsEdt also provides several local deployment methods for faster compilation and other features, refer to the [documentation](https://github.com/LogCreative/PGFPlotsEdt/tree/master/docs#advanced) for details:

  - **Open locally**: open [index.html](index.html) in the browser.

  - **Local compilation**: use `ppedt_server.py` to compile standalone tex files locally in near real-time (see [pgfplots-benchmark](https://github.com/LogCreative/pgfplots-benchmark) repo for details).

  ![PGFPlots benchmark](docs/figs/avg.png)

  - **LLM**: use `ppedt_server_llm.py` to enable code completion with Llama 3.

  ![PGFPlotsEdt with LLM](docs/figs/llm.jpg)

  - **Deployment compilation**: use `deploy/gunicorn-deploy.py` for production use to serve multiple users.

#### Documentation

This repo contains documentation in [Markdown format](docs/), which could be compiled into PDFs through `l3build doc` in the folder. The generated PDFs are automatically updated in [PGFPlotsEdt-doc](https://github.com/LogCreative/PGFPlotsEdt-doc) repo.

Welcome to contribute your translation to PGFPlotsEdt! See [CONTRIBUTING](CONTRIBUTING.md) for details.

#### Acknowledgements

Vue.js is the progressive JavaScript framework for this project.

LaTeXOnline is the chosen online LaTeX compiler for previewing the graph result.

MathJax is the TeX typeset rendering machine for previewing the formula input.

Llama 3 is the chosen large language model to generate code. The LLM model is deployed by MLC LLM.

>Copyright (c) 2020-2024 Log Creative & LaTeX Sparkle Project