{"id":40932861,"url":"https://github.com/mukappalambda/dmd","last_synced_at":"2026-01-22T04:12:13.650Z","repository":{"id":103215676,"uuid":"354567785","full_name":"mukappalambda/dmd","owner":"mukappalambda","description":"A Python Implementation of Dynamic Mode Decomposition","archived":false,"fork":false,"pushed_at":"2025-09-21T13:16:40.000Z","size":1177,"stargazers_count":6,"open_issues_count":1,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-21T15:06:11.571Z","etag":null,"topics":["dynamic-mode-decomposition","dynamical-systems","linear-algebra","nonlinear-dynamics","python"],"latest_commit_sha":null,"homepage":"","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/mukappalambda.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":"2021-04-04T14:41:58.000Z","updated_at":"2025-09-21T13:16:44.000Z","dependencies_parsed_at":"2024-03-15T14:41:29.150Z","dependency_job_id":"8dbf53c7-f47e-4e29-8d1c-ddaeb2a72f5c","html_url":"https://github.com/mukappalambda/dmd","commit_stats":null,"previous_names":["mukappalambda/dmd"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mukappalambda/dmd","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukappalambda%2Fdmd","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukappalambda%2Fdmd/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukappalambda%2Fdmd/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukappalambda%2Fdmd/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mukappalambda","download_url":"https://codeload.github.com/mukappalambda/dmd/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukappalambda%2Fdmd/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28653860,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-22T01:17:37.254Z","status":"online","status_checked_at":"2026-01-22T02:00:07.137Z","response_time":144,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["dynamic-mode-decomposition","dynamical-systems","linear-algebra","nonlinear-dynamics","python"],"created_at":"2026-01-22T04:12:13.589Z","updated_at":"2026-01-22T04:12:13.638Z","avatar_url":"https://github.com/mukappalambda.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python Implementation of Dynamic Mode Decomposition\n\n[![Dependabot Updates](https://github.com/mukappalambda/dmd/actions/workflows/dependabot/dependabot-updates/badge.svg)](https://github.com/mukappalambda/dmd/actions/workflows/dependabot/dependabot-updates)\n[![Ruff](https://github.com/mukappalambda/dmd/actions/workflows/ruff.yml/badge.svg)](https://github.com/mukappalambda/dmd/actions/workflows/ruff.yml)\n\n\nThis Python package provides an implementation of Dynamic Mode Decomposition (DMD) specifically designed for univariate time series forecasting. DMD offers a data-driven approach for analyzing the dynamics of complex systems, making it suitable for forecasting and system identification applications.\n\nTwo example scripts are included to demonstrate typical usage scenarios.\n\nFor an in-depth explanation of DMD, please refer to the following HackMD note: [Dynamic Mode Decomposition](https://hackmd.io/@mklan/HyLXh7UH_).\n\nThe primary reference for this implementation is the arXiv article: [On Dynamic Mode Decomposition: Theory and Applications](https://arxiv.org/abs/1312.0041).\n\n---\n\n## Install `dmd`\n\n**Install from GitHub**\n\n```bash\npip install git+https://github.com/mukappalambda/dmd.git\n```\n\n**Install from Source**\n\n```bash\ngit clone https://github.com/mukappalambda/dmd.git\npoetry build\nfind dist -name \"*-$(poetry version -s)-*.whl\" | xargs -I{} pip install {}\n```\n\n---\n\n## Run Examples\n\n```bash\ncd examples\npython dmd_example01.py\npython dmd_example02.py\n```\n\n---\n\n## Uninstall `dmd`\n\n```bash\npip uninstall dmd -y\n```\n\n## History\n\n- Tweak the HackMD note more readable and add the Python code inside that note.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmukappalambda%2Fdmd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmukappalambda%2Fdmd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmukappalambda%2Fdmd/lists"}