{"id":22618678,"url":"https://github.com/uhstray-io/pyrizon","last_synced_at":"2026-04-09T01:31:08.863Z","repository":{"id":251832346,"uuid":"823415522","full_name":"uhstray-io/pyrizon","owner":"uhstray-io","description":"Data Collection, Analysis, Mapping, Pipelining \u0026 Transformation, \u0026 API using Python","archived":false,"fork":false,"pushed_at":"2025-03-17T23:03:16.000Z","size":9536,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-03T16:22:30.427Z","etag":null,"topics":["api","data-engineering","etl","numpy","pandas","plotly","python","pytorch","raw-data","scikit-learn","seaborne","sql","sqlite","tensorflow"],"latest_commit_sha":null,"homepage":"https://www.uhstray.io/","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/uhstray-io.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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}},"created_at":"2024-07-03T02:07:01.000Z","updated_at":"2025-03-17T23:03:19.000Z","dependencies_parsed_at":"2024-11-28T14:27:13.270Z","dependency_job_id":"fb985631-46d7-4e5b-9756-c53e4c3de0a3","html_url":"https://github.com/uhstray-io/pyrizon","commit_stats":null,"previous_names":["uhstray-io/pyrizon"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/uhstray-io/pyrizon","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uhstray-io%2Fpyrizon","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uhstray-io%2Fpyrizon/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uhstray-io%2Fpyrizon/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uhstray-io%2Fpyrizon/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/uhstray-io","download_url":"https://codeload.github.com/uhstray-io/pyrizon/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uhstray-io%2Fpyrizon/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31581864,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"ssl_error","status_checked_at":"2026-04-08T14:31:17.202Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":["api","data-engineering","etl","numpy","pandas","plotly","python","pytorch","raw-data","scikit-learn","seaborne","sql","sqlite","tensorflow"],"created_at":"2024-12-08T21:09:01.556Z","updated_at":"2026-04-09T01:31:08.838Z","avatar_url":"https://github.com/uhstray-io.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!-- omit in toc --\u003e\r\n# pyrizon\r\nPython driven data assessment using pandas and flet\r\n\r\n\u003c!-- omit in toc --\u003e\r\n## Table of Contents\r\n\r\n- [Platform MVP Architecture](#platform-mvp-architecture)\r\n  - [File Workflow Architecture](#file-workflow-architecture)\r\n  - [Excalidraw Design](#excalidraw-design)\r\n- [Installation](#installation)\r\n  - [Package manager](#package-manager)\r\n  - [Dependencies](#dependencies)\r\n    - [Libraries](#libraries)\r\n- [Sample Data Sources](#sample-data-sources)\r\n  - [Solar Flares](#solar-flares)\r\n  - [Adult Census Data](#adult-census-data)\r\n  - [EUR USD 2002-2020 Forex Data](#eur-usd-2002-2020-forex-data)\r\n  - [Reference](#reference)\r\n\r\n## Platform MVP Architecture\r\n\r\n![Platform MVP Architecture](.images/mvp_architecture.png)\r\n\r\n## Contributing Guidelines\r\n\r\n- [Review our Code of Conduct](https://www.uhstray.io/en/code-of-conduct)\r\n- [Check our CONTRIBUTING.MD](./CONTRIBUTING.md)\r\n\r\n### File Workflow Architecture\r\n\r\n![File Workflow Architecture](.images/file_workflow.png)\r\n\r\n### Excalidraw Design\r\n\r\n![Excalidraw Design](.images/ml_pipelines.excalidraw.svg)\r\n\r\n## Installation\r\n\r\n### Package manager\r\nhttps://github.com/astral-sh/uv\r\n\r\n### Dependencies\r\n\r\n```bash\r\npip install uv\r\nuv sync\r\n```\r\n\r\n#### Libraries\r\n\r\n```python\r\nimport pandas as pd\r\n#TFIDF Feature Extraction Scikit-learn\r\nimport sklearn.feature_extraction.text as sk_text\r\nimport mysql.connector\r\nimport dask\r\n```\r\n\r\n## Sample Data Sources\r\n\r\n- [Kaggle](https://www.kaggle.com/datasets)\r\n- [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php)\r\n- [Google Dataset Search](https://datasetsearch.research.google.com/)\r\n- [Data.gov](https://www.data.gov/)\r\n\r\n### Solar Flares\r\n\r\nData (CSV) : https://www.kaggle.com/datasets/khsamaha/solar-flares-rhessi\r\nLicense (CC0) 1.0 :  https://creativecommons.org/publicdomain/zero/1.0/\r\n\r\n### Adult Census Data\r\n\r\nData : Becker,Barry and Kohavi,Ronny. (1996). Adult. UCI Machine Learning Repository. https://doi.org/10.24432/C5XW20.\r\nLicense (Creative Commons Attribution 4.0) : https://creativecommons.org/licenses/by/4.0/legalcode\r\n\r\n### EUR USD 2002-2020 Forex Data\r\n\r\nData : https://www.kaggle.com/datasets/imetomi/eur-usd-forex-pair-historical-data-2002-2019?select=eurusd_minute.csv\r\nLicense (AGPL-3.0): https://www.gnu.org/licenses/agpl-3.0.html\r\n\r\n### Reference\r\n\r\n- https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html\r\n- https://scikit-learn.org/stable/modules/compose.html\r\n- https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html\r\n- https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html\r\n- https://scikit-learn.org/stable/modules/metrics.html\r\n- https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html\r\n- https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html\r\n- https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html#sklearn.feature_extraction.text.TfidfTransformer\r\n- https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuhstray-io%2Fpyrizon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fuhstray-io%2Fpyrizon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuhstray-io%2Fpyrizon/lists"}