{"id":34039616,"url":"https://github.com/soichiroyamane/gsplot","last_synced_at":"2026-04-06T09:01:35.587Z","repository":{"id":266774148,"uuid":"808053990","full_name":"SoichiroYamane/gsplot","owner":"SoichiroYamane","description":"General-Scientific Plot based on matplotlib 📈","archived":false,"fork":false,"pushed_at":"2026-03-12T20:14:49.000Z","size":63866,"stargazers_count":2,"open_issues_count":10,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-03-13T02:11:10.490Z","etag":null,"topics":["data-science","matplotlib","plot","python","science","science-research"],"latest_commit_sha":null,"homepage":"https://soichiroyamane.github.io/gsplot/stable","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SoichiroYamane.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-05-30T09:39:15.000Z","updated_at":"2025-06-25T07:43:44.000Z","dependencies_parsed_at":"2024-12-21T03:17:42.002Z","dependency_job_id":"01917ae8-7ad7-4f1c-944d-19fc488cd461","html_url":"https://github.com/SoichiroYamane/gsplot","commit_stats":null,"previous_names":["soichiroyamane/gsplot"],"tags_count":12,"template":false,"template_full_name":null,"purl":"pkg:github/SoichiroYamane/gsplot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoichiroYamane%2Fgsplot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoichiroYamane%2Fgsplot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoichiroYamane%2Fgsplot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoichiroYamane%2Fgsplot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SoichiroYamane","download_url":"https://codeload.github.com/SoichiroYamane/gsplot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoichiroYamane%2Fgsplot/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31466228,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-06T08:36:52.050Z","status":"ssl_error","status_checked_at":"2026-04-06T08:36:51.267Z","response_time":112,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","matplotlib","plot","python","science","science-research"],"created_at":"2025-12-13T21:43:59.762Z","updated_at":"2026-04-06T09:01:35.581Z","avatar_url":"https://github.com/SoichiroYamane.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"docs/_static/logo/logo_title_gsplot.png\" alt=\"logo_gsplot\" width=\"300\"\u003e\n\u003c/div\u003e\n\n[![GitHub Page](https://github.com/SoichiroYamane/gsplot/actions/workflows/gh-pages-sphinx.yml/badge.svg)](https://github.com/SoichiroYamane/gsplot/actions/workflows/gh-pages-sphinx.yml)\n![Using Poetry](https://img.shields.io/badge/Using-Poetry-blue)\n![PyPI](https://img.shields.io/pypi/v/gsplot)\n![PyPI - Downloads](https://img.shields.io/pypi/dm/gsplot)\n[![PyPI Downloads](https://static.pepy.tech/badge/gsplot)](https://pepy.tech/projects/gsplot)\n![Python](https://img.shields.io/badge/python-3.10%2B-blue)\n![License: MIT](https://img.shields.io/badge/License-MIT-green)\n\n----------------\n\n\u003cp align=\"center\" style=\"font-weight: bold; font-size: 1.2em; margin: 20px 0;\"\u003e\n  \u003ca href=\"https://soichiroyamane.github.io/gsplot/stable\" style=\"text-decoration: none;\"\u003eDocs\u003c/a\u003e |\n  \u003ca href=\"#authors\" style=\"text-decoration: none;\"\u003eAuthors\u003c/a\u003e |\n  \u003ca href=\"#license\" style=\"text-decoration: none;\"\u003eLicense\u003c/a\u003e\n\u003c/p\u003e\n\nWelcome to **gsplot** (General-Scientific Plot), a toolkit designed to elevate capabilities of data visualization based on [matplotlib](https://matplotlib.org). This package is specifically tailored for creating high-quality figures aimed at the scientific field.\n\n\u003e [!WARNING]\n\u003e This package is _beta_ quality. Expect breaking changes and many bugs 🐛. Please report any issue you encounter 🤝.\n\n## ✨ Features\n\n- **Better Plot, Less Effort**: Effortlessly create high-quality figures ⚛️\n- **Compatibility**: Fully compatible with [matplotlib](https://matplotlib.org) 📊\n- **Customization**: Tailor configurations to suit your needs 🎨\n- **Reproducibility**: Save package states for reproducible plots 📦\n\n### 📈 Example using gsplot\n\n[See more details](https://soichiroyamane.github.io/gsplot/stable/guides/demo/4_paper_plot.html)\n\n![example](docs/_static/tutorial/SC_cal.png)\n\n### 🌃 Example with Python REPL 🐍 and neovim 🌟\n\n[See more details](https://soichiroyamane.github.io/gsplot/stable/guides/demo/13_REPL.html)\n\n![repl_tutorial](./docs/_static/tutorial/repl_tutorial_45fps.gif)\n\n## 🚀 Getting Started\n\nTo use **gsplot**, ensure that you have `Python 3.10+` installed. You can install the package using `pip`:\n\n```bash\npip install gsplot\n```\n\n## 👥 Authors\n\nThis repository was forked from codes developed by Giordano Mattoni.\n\n- Giordano Mattoni\n- Soichiro Yamane\n\n## 📜 License\n\nThis project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoichiroyamane%2Fgsplot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoichiroyamane%2Fgsplot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoichiroyamane%2Fgsplot/lists"}