{"id":32406539,"url":"https://github.com/marcozanotti/tsforecasting-dashboard","last_synced_at":"2026-02-21T20:33:46.209Z","repository":{"id":218573453,"uuid":"746795840","full_name":"marcozanotti/tsforecasting-dashboard","owner":"marcozanotti","description":"Forecast App","archived":false,"fork":false,"pushed_at":"2025-09-30T23:23:10.000Z","size":4027,"stargazers_count":0,"open_issues_count":8,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-25T12:54:55.058Z","etag":null,"topics":["deep-learning","forecasting","machine-learning","statistics","timeseries"],"latest_commit_sha":null,"homepage":"https://marcozanotti.shinyapps.io/ForecastApp/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/marcozanotti.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-01-22T17:32:50.000Z","updated_at":"2025-09-30T23:23:14.000Z","dependencies_parsed_at":"2024-02-21T11:48:30.164Z","dependency_job_id":null,"html_url":"https://github.com/marcozanotti/tsforecasting-dashboard","commit_stats":null,"previous_names":["marcozanotti/tsforecasting-dashboard"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/marcozanotti/tsforecasting-dashboard","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcozanotti%2Ftsforecasting-dashboard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcozanotti%2Ftsforecasting-dashboard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcozanotti%2Ftsforecasting-dashboard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcozanotti%2Ftsforecasting-dashboard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/marcozanotti","download_url":"https://codeload.github.com/marcozanotti/tsforecasting-dashboard/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcozanotti%2Ftsforecasting-dashboard/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29692521,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-21T18:18:25.093Z","status":"ssl_error","status_checked_at":"2026-02-21T18:18:22.435Z","response_time":107,"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":["deep-learning","forecasting","machine-learning","statistics","timeseries"],"created_at":"2025-10-25T12:54:49.675Z","updated_at":"2026-02-21T20:33:46.186Z","avatar_url":"https://github.com/marcozanotti.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Forecast App\n\nThe **Forecast App** is a comprehensive tool designed to guide users \nthrough the entire forecasting workflow, from raw data to scenario analysis.\nIt is tailored for both beginners and experienced practitioners, allowing the \nexploration, modeling, and explanation of time series data without requiring \nadvanced knowledge of forecasting techniques.  \n\nThe app is organized into four main sections —**Data**, **Analyze**, \n**Features**, and **Forecast**— which collectively enable users to:  \n\n- Upload and explore time series data  \n- Detect and handle missing values and anomalies  \n- Transform and preprocess data for improved forecasting performance  \n- Create and select relevant features, both internal and external  \n- Fit and optimize a wide range of forecasting models, including classical, \nmachine learning, deep learning, and ensemble approaches  \n- Evaluate, compare, and explain the models’ predictions  \n- Generate probabilistic forecasts and business-oriented scenarios  \n\nThe app provides great flexibility in analysis: interactive visualizations, \nconfigurable model parameters, and multiple options for evaluation and \nexplanation allow users to tailor the process to their specific needs.\n\nYou can access the stable version at [Forecast App](https://marcozanotti.shinyapps.io/ForecastApp/).\n\nFollow the [user guide](https://marcozanotti.github.io/tsforecasting-dashboard/manual/forecastapp-manual.html) \nto leverage the full potential of the Forecast App to obtain accurate \nforecasts, understand model behavior, and explore different scenarios for \ninformed decision-making.  \n\nFeel free to share the Forecast App on LinkedIn if you find it useful and \nremember to tag [me](https://www.linkedin.com/in/marco-zanotti-a6a978124/)!  \n\nIf you find bugs or have suggestions for improvements, please open an issue on\n[GitHub](https://github.com/marcozanotti/tsforecasting-dashboard/issues).  \n\nIf you are interested in who I am and what I do, visit my \n[website](https://marcozanotti.netlify.app/).  \n\nThe [source code](https://github.com/marcozanotti/tsforecasting-dashboard) of \nthe Forecast App is available on GitHub under the MIT license.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcozanotti%2Ftsforecasting-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarcozanotti%2Ftsforecasting-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcozanotti%2Ftsforecasting-dashboard/lists"}