{"id":19182041,"url":"https://github.com/glentner/dataphile","last_synced_at":"2025-05-07T23:07:18.123Z","repository":{"id":44862343,"uuid":"124928215","full_name":"glentner/dataphile","owner":"glentner","description":"Data analytics library for Python and suite of open source, command line based data ops tools.","archived":false,"fork":false,"pushed_at":"2022-12-08T03:41:11.000Z","size":359,"stargazers_count":14,"open_issues_count":10,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-05-07T23:07:13.308Z","etag":null,"topics":["data-analysis","data-ops","data-science","python","scientific-computing"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/glentner.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}},"created_at":"2018-03-12T17:46:20.000Z","updated_at":"2025-03-19T15:04:50.000Z","dependencies_parsed_at":"2023-01-25T04:16:09.945Z","dependency_job_id":null,"html_url":"https://github.com/glentner/dataphile","commit_stats":null,"previous_names":[],"tags_count":11,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glentner%2Fdataphile","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glentner%2Fdataphile/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glentner%2Fdataphile/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glentner%2Fdataphile/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/glentner","download_url":"https://codeload.github.com/glentner/dataphile/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252968118,"owners_count":21833251,"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-ops","data-science","python","scientific-computing"],"created_at":"2024-11-09T10:56:19.887Z","updated_at":"2025-05-07T23:07:18.100Z","avatar_url":"https://github.com/glentner.png","language":"Python","readme":"Dataphile\n=========\n\nDataphile is a high-level python package for both data analysis and data processing. It started as\na central repository of common tasks and capabilities used by the author, but has now evolved into\nsomething others might find useful. See [components](#Components) below.\n\n\n[![GitHub License](http://img.shields.io/badge/license-Apache-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0)\n[![PyPI Version](https://img.shields.io/pypi/v/dataphile.svg)](https://pypi.org/project/dataphile/)\n[![Docs Latest](https://readthedocs.org/projects/dataphile/badge/?version=latest)](https://dataphile.readthedocs.io)\n\n---\n\n\u003c!-- Animated GIF of AutoGUI --\u003e\n\u003cimg src=\"https://lentner.io/images/auto_gui_interactive.gif\" width=\"80%\"\nstyle=\"display:block;margin: 0 auto;\"\u003e\n\n**Figure**: Demonstration of Dataphile's `AutoGUI` feature.\n\nInstallation\n------------\n\nTo install Dataphile for general purposes use Pip:\n\n```\npip install dataphile\n```\n\nIf you are using Anaconda, install using the above call to pip _from inside your environment_.\nThere is not as of yet a separate conda package.\n\nDocumentation\n-------------\n\nDocumentation will be available at [dataphile.readthedocs.io](https://dataphile.readthedocs.io).\nCurrently, development of additional features is a priority, but this is a great place for\ncontributing to the project.\n\nContributions\n-------------\n\nContributions are welcome  in the form of  suggestions for additional features,  pull requests with\nnew features or  bug fixes, etc. If you find  bugs or have questions, open an  _Issue_ here. If and\nwhen the project grows, a  code of conduct will be provided along side  a more comprehensive set of\nguidelines for contributing; until then, just be nice.\n\nRoad Map\n--------\n\n- **additional command line tools**\u003cbr\u003e\n\tMany additional  command line tools  are planned for future  releases including tools  that expose\n\tdatabase queries and filters.  Generally, just a massive extension of  the UNIX philosophy whereby\n\twe can compose several functions together with pipes to make unique workflows.\n\n- **data acquisition**\u003cbr\u003e\n\tOne of  the motivations for this  package was to  provide an easy-to-use, high-level  interface to\n\tcollecting scientific  data from an externel  device (e.g., over  USB). This, along side  a simple\n\tlive  data visualization  feature would  go a  long  way for  high school  and university  student\n\tlaboratory courses to both aquire and analyze  their data using all open-source tools right inside\n\tof a [Jupyter Notebook](https://jupyter.org).\n\n- **documentation and package management**\u003cbr\u003e\n\tA quickstart guide along with full documentation of all components needs to be built using Sphinx.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglentner%2Fdataphile","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fglentner%2Fdataphile","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglentner%2Fdataphile/lists"}