{"id":15288063,"url":"https://github.com/vinothsuku/vizdxp","last_synced_at":"2025-04-13T06:33:17.709Z","repository":{"id":62587629,"uuid":"289785256","full_name":"Vinothsuku/vizdxp","owner":"Vinothsuku","description":"Simple Exploratory Data Analysis web app","archived":false,"fork":false,"pushed_at":"2024-08-07T06:12:20.000Z","size":51,"stargazers_count":6,"open_issues_count":1,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-11-16T09:20:32.354Z","etag":null,"topics":["data-analysis","data-visualization","exploratory-data-analysis","exploratory-data-visualizations","plotly","streamlit","visualization"],"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/Vinothsuku.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}},"created_at":"2020-08-23T23:44:59.000Z","updated_at":"2024-08-07T06:12:23.000Z","dependencies_parsed_at":"2025-02-15T04:18:36.623Z","dependency_job_id":"2e7c47aa-3f71-4d18-b278-0bce744810c3","html_url":"https://github.com/Vinothsuku/vizdxp","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vinothsuku%2Fvizdxp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vinothsuku%2Fvizdxp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vinothsuku%2Fvizdxp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vinothsuku%2Fvizdxp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Vinothsuku","download_url":"https://codeload.github.com/Vinothsuku/vizdxp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248674686,"owners_count":21143760,"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":["data-analysis","data-visualization","exploratory-data-analysis","exploratory-data-visualizations","plotly","streamlit","visualization"],"created_at":"2024-09-30T15:44:00.602Z","updated_at":"2025-04-13T06:33:17.682Z","avatar_url":"https://github.com/Vinothsuku.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# vizdxp\n\n## Simple Exploratory Data Analysis web application\n\nvizdxp is an open-source web app designed via streamlit weaved with plotly library. **Its incredibly simple - Just drag \u0026 drop any csv and explore the data visually.** By default the application will figure out better visualization based on user selections. Feel free to customize as needed.\n\n## Keys\n- **Simple** and quick for any **Exploratory Data Analysis**\n- Create interactive **Dashboard web app within minutes** from any csv and share the findings\n- **Deploy** it as a web application in your own workstations too\n- By **Default** - chart types and aggregations are applied based on columns selected by user, null rows are removed, date fields are converted to multiple subfields\n- Highly **Customizable**\n- No more static reports\n- Chart types included - Scatter, Bar, Pie, Heatmap, Histogram and Box plots\n\n## Installation\n\npip install vizdxp\n\nRun: python -m vizdxp\n\nExplore vizdxp through a browser. Once installation is complete, user can work totally offline.\n\n## Blog\n\nWrriten a blog on vizdxp [here](https://medium.com/analytics-vidhya/introducing-vizdxp-for-quick-exploratory-data-analysis-and-visualizations-89128326e8ac)\n\n## License\n- vizdxp is completely free, open sourced and licensed under MIT license.\n- Vizdxp is developed with Streamlit as the framework. Further details on [streamlit](https://www.streamlit.io/)\n- Plotly is the visualization library used. Further details on [plotly](https://plotly.com/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvinothsuku%2Fvizdxp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvinothsuku%2Fvizdxp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvinothsuku%2Fvizdxp/lists"}