{"id":16602422,"url":"https://github.com/lnxpy/pypi-prediction-examples","last_synced_at":"2025-07-23T21:14:17.317Z","repository":{"id":189359131,"uuid":"679695587","full_name":"lnxpy/pypi-prediction-examples","owner":"lnxpy","description":"Notebook Examples: Plotting Python's packages' download rate predictions using MindsDB's AI power and PyPI handler","archived":false,"fork":false,"pushed_at":"2023-08-19T16:02:46.000Z","size":186,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-17T08:45:13.169Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/lnxpy.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}},"created_at":"2023-08-17T12:14:19.000Z","updated_at":"2023-10-21T17:01:10.000Z","dependencies_parsed_at":"2023-08-19T16:29:36.794Z","dependency_job_id":"9593767a-ce72-4aae-9e4e-e3f24138b7ee","html_url":"https://github.com/lnxpy/pypi-prediction-examples","commit_stats":null,"previous_names":["lnxpy/pypi-prediction-examples"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lnxpy%2Fpypi-prediction-examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lnxpy%2Fpypi-prediction-examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lnxpy%2Fpypi-prediction-examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lnxpy%2Fpypi-prediction-examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lnxpy","download_url":"https://codeload.github.com/lnxpy/pypi-prediction-examples/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242692347,"owners_count":20170228,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2024-10-12T00:22:08.275Z","updated_at":"2025-03-09T12:55:05.455Z","avatar_url":"https://github.com/lnxpy.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## PyPI Donwload Rate Prediction\nWith this implementation, you can predict the near future download-rate of your Python packages that are stored on PyPI's servers. Follow the steps on Jupyter Notebook ([example.ipynb](example.ipynb)) and predict your desired packages.\n\n\n\u003cdetails\u003e\n  \u003csummary\u003ePredicting the request's library download rate in the next 100 days:\u003c/summary\u003e\n  \n![prediction](assets/prediction.png)\n\n\u003c/details\u003e\n\n\nThis prediction is based on [MindsDB's PyPI Handler](https://github.com/mindsdb/mindsdb/pull/7026).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flnxpy%2Fpypi-prediction-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flnxpy%2Fpypi-prediction-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flnxpy%2Fpypi-prediction-examples/lists"}