{"id":44590605,"url":"https://github.com/giagiannis/data-profiler","last_synced_at":"2026-02-14T07:05:19.777Z","repository":{"id":57522803,"uuid":"60160548","full_name":"giagiannis/data-profiler","owner":"giagiannis","description":"Data profiler is an attempt to model the behavior of a given operator for a set of 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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":["bhattacharyya-coefficient","data-modeling","data-profiling","data-science","dataset","machine-learning","similarity-matrix"],"created_at":"2026-02-14T07:05:19.147Z","updated_at":"2026-02-14T07:05:19.766Z","avatar_url":"https://github.com/giagiannis.png","language":"Go","funding_links":[],"categories":[],"sub_categories":[],"readme":"data-profiler [![Build Status](https://travis-ci.org/giagiannis/data-profiler.svg?branch=master)](https://travis-ci.org/giagiannis/data-profiler) [![goreport](https://goreportcard.com/badge/github.com/giagiannis/data-profiler)](https://goreportcard.com/report/github.com/giagiannis/data-profiler) [![Coverage Status](https://coveralls.io/repos/github/giagiannis/data-profiler/badge.svg?branch=master)](https://coveralls.io/github/giagiannis/data-profiler?branch=master) [![Docker Automated build](https://img.shields.io/docker/automated/jrottenberg/ffmpeg.svg)](https://hub.docker.com/r/ggian/data-profiler/)\n=============\n__data-profiler__ is a Go project used to transform a set of datasets, based on a set of characteristics (distribution similarity, correlation, etc.), in order to model the behavior of an operator, applied on top of them using Machine Learning techniques.\n\n\nScreenshots\n-----------\n\n![Similarity Matrix](https://github.com/giagiannis/data-profiler/raw/master/_imgs/SM.png \"Dataset Similarity Matrix\")\n\n![Dataset Space](https://github.com/giagiannis/data-profiler/raw/master/_imgs/DS.png \"Dataset Space\")\n\n![SVM Modeling](https://github.com/giagiannis/data-profiler/raw/master/_imgs/SVMModeling.png \"Operator Modeling with SVM\")\n\n![SVM Residuals Distribution](https://github.com/giagiannis/data-profiler/raw/master/_imgs/ResidualDistribution.png \"SVM Residual Distribution\")\n\nInstallation\n------------\nYou have two ways of installing __data-profiler__:\n\n1. Through Go:\n\n```bash\n# GOPATH must be set\n~\u003e go get github.com/giagiannis/data-profiler\n```\n\n2. Using Docker:\n\n```bash\n~\u003e docker pull ggian/data-profiler\n```\n\nUsage\n-----\n__data-profiler__ can be used both through a CLI and a Web interface.\n\n1. CLI \n\nYou can access the CLI client through the __data-profiler-utils__ binary.\n\n```bash\n~\u003e $GOPATH/bin/data-profiler-utils\n```\n\nThis previous command will give an overview of the available actions.\n\n__Note:__ use this client only if you know how data-profiler works.\n\n2. Web UI\n\nFirst run the Docker container, providing a directory with the dataset files. \n\n```bash\n~\u003e docker run -v /src/datasets:/datasets -p 8080:8080 -d ggian/data-profiler\n```\n\nThis command mounts the host's _/src/datasets_ directory to the container and forwards the host's 8080 port to the container. After the successful start of the container, go to _http://dockerhost:8080_ and insert the first set of datasets for analysis.\n\n\nLicense\n-------\nApache License v2.0 (see [LICENSE](LICENSE) file for more)\n\n\nContact\n-------\nGiannis Giannakopoulos ggian@cslab.ece.ntua.gr\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiagiannis%2Fdata-profiler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgiagiannis%2Fdata-profiler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiagiannis%2Fdata-profiler/lists"}