{"id":26197206,"url":"https://github.com/dmnfarrell/tablexplore","last_synced_at":"2025-08-01T08:05:06.742Z","repository":{"id":38473890,"uuid":"88155290","full_name":"dmnfarrell/tablexplore","owner":"dmnfarrell","description":"Table analysis and plotting application written in PySide2/PyQt5","archived":false,"fork":false,"pushed_at":"2023-06-23T10:53:09.000Z","size":14661,"stargazers_count":133,"open_issues_count":6,"forks_count":27,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-04-15T03:55:27.837Z","etag":null,"topics":["data-analysis","data-science","dataframe","pandas","plotting","pyqt5","pyside2","python","qt"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dmnfarrell.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGES","contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null},"funding":{"github":"dmnfarrell"}},"created_at":"2017-04-13T10:52:25.000Z","updated_at":"2025-04-06T02:37:28.000Z","dependencies_parsed_at":"2023-10-02T00:22:21.555Z","dependency_job_id":null,"html_url":"https://github.com/dmnfarrell/tablexplore","commit_stats":{"total_commits":154,"total_committers":2,"mean_commits":77.0,"dds":"0.038961038961038974","last_synced_commit":"4fc02a77e1b6f5a1c53050ce9ed32ff0834e28e0"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmnfarrell%2Ftablexplore","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmnfarrell%2Ftablexplore/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmnfarrell%2Ftablexplore/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmnfarrell%2Ftablexplore/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmnfarrell","download_url":"https://codeload.github.com/dmnfarrell/tablexplore/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249003952,"owners_count":21196794,"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-science","dataframe","pandas","plotting","pyqt5","pyside2","python","qt"],"created_at":"2025-03-12T02:24:42.304Z","updated_at":"2025-04-15T03:55:35.046Z","avatar_url":"https://github.com/dmnfarrell.png","language":"Python","funding_links":["https://github.com/sponsors/dmnfarrell"],"categories":[],"sub_categories":[],"readme":"\u003cimg align=\"right\" src=tablexplore/logo.png width=150px\u003e\n\n# Tablexplore\n\n[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n\nTablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit. It uses the pandas DataFrame class to store the table data. Pandas is an open source Python library providing high-performance data structures and data analysis tools.\n\nThis application is intended primarily for educational/scientific use and allows quick visualization of data with convenient plotting. The primary goal is to let users explore their tables interactively without any prior programming knowledge and make interesting plots as they do this. One advantage is the ability to load and work with relatively large tables as compared to spreadsheets. The focus is on data manipulation rather than data entry. Though basic cell editing and row/column changes are supported.\n\n## Installation\n\nFor all operating systems with Python and pip installed:\n\n```\npip install -e git+https://github.com/dmnfarrell/tablexplore.git#egg=tablexplore\n```\n\n### Linux\n\nThe pip method above should work fine for most distributions but if you prefer you can also try the AppImage (experimental). Download from the latest [release page](https://github.com/dmnfarrell/tablexplore/releases) and run as follows:\n\n```\nchmod +x tablexplore-0.3.0-x86_64.AppImage\n./tablexplore-0.3.0-x86_64.AppImage\n```\n\nThere is also a [snap](https://snapcraft.io/tablexplore) available, which can be installed using:\n\n```\nsnap install tablexplore\n```\n\n### Windows\n\nA Windows standalone binary can be downloaded [here](https://dmnfarrell.github.io/tablexplore/).\n\n## Current features\n\n* save and load projects\n* import csv/hdf/from urls\n* delete/add columns\n* groupby-aggregate/pivot/transpose/melt operations\n* merge tables\n* show sub-tables\n* plotting mostly works\n* apply column functions, resample, transform, string methods and date/time conversion\n* python interpreter\n\n## Screenshots\n\n\u003cimg src=img/scr1.png width=600px\u003e\n\n## Usage\n\nSee [documentation](https://tablexplore.readthedocs.io/en/latest/)\n\n## Videos\n\n* [Introduction](https://youtu.be/0_KGjrNWpb4 )\n* [Summarizing Data](https://youtu.be/acOzks3AKUQ)\n* [Plotting](https://www.youtube.com/watch?v=ESCyyAERJ80)\n* [Table Filtering](https://www.youtube.com/watch?v=aZjELBprGkA)\n* [Joining tables](https://youtu.be/TDw4iS2u9Kg)\n\n## Use the widget in Python\n\n```python\nfrom PySide2 import QtCore\nfrom PySide2.QtWidgets import *\nfrom PySide2.QtGui import *\nimport pandas as pd\nfrom tablexplore import data, core, plotting, interpreter\n\nclass TestApp(QMainWindow):\n    def __init__(self, project_file=None, csv_file=None):\n\n        QMainWindow.__init__(self)\n        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)\n        self.setWindowTitle(\"Example\")\n        self.setGeometry(QtCore.QRect(200, 200, 800, 600))\n        self.main = QWidget()\n        self.setCentralWidget(self.main)\n        layout = QVBoxLayout(self.main)\n        df = data.getSampleData()\n        t = core.DataFrameWidget(self.main,dataframe=df)\n        layout.addWidget(t)\n        #show a Python interpreter\n        t.showInterpreter()\n        return\n\nif __name__ == '__main__':\n    import sys\n    app = QApplication(sys.argv)\n    aw = TestApp()\n    aw.show()\n    app.exec_()\n```\n\n## See also\n\n* [Homepage](https://dmnfarrell.github.io/tablexplore/)\n* [documentation](https://tablexplore.readthedocs.io/en/latest/)\n* [pandastable - Tkinter based version](https://github.com/dmnfarrell/pandastable)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmnfarrell%2Ftablexplore","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmnfarrell%2Ftablexplore","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmnfarrell%2Ftablexplore/lists"}