{"id":14958280,"url":"https://github.com/chekoduadarsh/blocklyml","last_synced_at":"2025-04-05T11:10:46.290Z","repository":{"id":37010299,"uuid":"370961897","full_name":"chekoduadarsh/BlocklyML","owner":"chekoduadarsh","description":"BlocklyML is a simple visual programming Tool for python and ML.  🧩   🖥️","archived":false,"fork":false,"pushed_at":"2023-08-23T19:58:31.000Z","size":39529,"stargazers_count":451,"open_issues_count":2,"forks_count":45,"subscribers_count":9,"default_branch":"main","last_synced_at":"2025-03-29T10:08:58.084Z","etag":null,"topics":["blockly","blockly-games","deep-learning","hacktoberfest","javascript","machine-learning","pycaret","python","scikit-learn","sklearn","tensorflow"],"latest_commit_sha":null,"homepage":"https://blocklyml.onrender.com/","language":"JavaScript","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/chekoduadarsh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2021-05-26T08:29:36.000Z","updated_at":"2025-03-28T13:22:20.000Z","dependencies_parsed_at":"2024-09-02T16:21:04.758Z","dependency_job_id":"ea378c76-9bd7-472d-a2eb-e266ad1fa8bb","html_url":"https://github.com/chekoduadarsh/BlocklyML","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/chekoduadarsh%2FBlocklyML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chekoduadarsh%2FBlocklyML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chekoduadarsh%2FBlocklyML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chekoduadarsh%2FBlocklyML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/chekoduadarsh","download_url":"https://codeload.github.com/chekoduadarsh/BlocklyML/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247325693,"owners_count":20920714,"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":["blockly","blockly-games","deep-learning","hacktoberfest","javascript","machine-learning","pycaret","python","scikit-learn","sklearn","tensorflow"],"created_at":"2024-09-24T13:16:40.156Z","updated_at":"2025-04-05T11:10:46.263Z","avatar_url":"https://github.com/chekoduadarsh.png","language":"JavaScript","funding_links":["https://www.buymeacoffee.com/chekoduadarsh"],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://blocklyml.onrender.com/\"\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/chekoduadarsh/BlocklyML/main/media/blocklyML_Banner.png\" height=\"80\" /\u003e\n    \u003c/a\u003e\n    \u003c/p\u003e\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://blocklyml.onrender.com/\"\u003eBlockly ML\u003c/a\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://img.shields.io/github/license/chekoduadarsh/BlocklyML\"\u003e\n\u003cimg src=\"https://img.shields.io/github/issues/chekoduadarsh/BlocklyML\"\u003e\n\u003cimg src=\"https://img.shields.io/github/last-commit/chekoduadarsh/BlocklyML\"\u003e\n \u003cimg src=\"https://github.com/chekoduadarsh/BlocklyML/actions/workflows/codeql.yml/badge.svg\"\u003e\n   \u003c/p\u003e\n\n\nBlocklyML is a **No Code** training ground for python and Machine Learning. This tool is designed to simplify standard machine learning implementation.\nThis tool can assist anyone who wants to start with Machine Learning or python. This is a forked project from [Blockly](https://github.com/google/blockly) and adapted for machine learning and Data analytics use-cases. :brain:\n\nFor a sample run go to sampleLayouts folder upload and try it out :smiley:\n\n\nRead the ![UserGuide.md](https://github.com/chekoduadarsh/BlocklyML/blob/main/UserGuide.md) for further info\n\n\nIn the Example given below we will train a random forest for Iris Dataset\n\n\nhttps://user-images.githubusercontent.com/26855534/174473003-488f675f-50a0-48f1-9ef0-81987bd21166.mp4\n\n# Table of contents\n\n- [Table of contents](#table-of-contents)\n- [Installing as BlocklyML App](#installing-as-blocklyml-app)\n    - [Flask Method](#flask-method)\n- [UI Features](#ui-features)\n  - [Shortcuts](#shortcuts)\n  - [Dataframe Viewer](#dataframe-viewer)\n  - [Download Code](#download-code)\n- [Contribute](#contribute)\n    - [This repo welcomes any kind of contributions :pray:](#this-repo-welcomes-any-kind-of-contributions-pray)\n- [License](#license)\n- [Thanks to](#thanks-to)\n# Installing as BlocklyML App\nFirst clone this repo\n\n```shell\ngit clone https://github.com/chekoduadarsh/BlocklyML\n```\nAfter cloning the repo you can either follow the Flask Method\n\n\n# Running the App Using Docker\n\nIf you've cloned the project and want to build the image, follow these steps:\n\n1.Open your terminal and navigate to the project directory.\n\n2.Run the following command to build the Docker image:\n\n```shell\ndocker build . -t blocklyml/demo\n```\nOnce the image is built, you can launch the app by executing the following command:\n\n```shell\ndocker run -ti -p5000:5000 blockly_ml/demo\n```\nThis will start the app, and you'll be able to access it by opening your web browser and navigating to `http://localhost:5000`\n### Flask Method\n\nInstall the requirements from `requirements.txt` with the following command\n\n```shell\npip install -r requirements.txt \n```\n\nthen you can run the application by\n```shell\npython app.py\n```\n\nSimple as that :man_shrugging:\n\n# UI Features\n\n## Shortcuts\nYou can find these buttons in the top right corner of the application. Their functionality as follows\n\n1. Download XML Layout\n2. Upload XML layout\n3. Copy Code\n4. Launch Google Colab\n5. Delete\n6. Run (Not Supported Yet!!)\n\n\u003cimg src=\"https://github.com/chekoduadarsh/BlocklyML/blob/main/media/butttons.png\" alt=\"drawing\" width=\"500\"/\u003e\n\n## Dataframe Viewer\nBlockly support complete html view of the DataFrame. This can be accessed by view option in the navigation bar\n\n\u003cimg src=\"https://github.com/chekoduadarsh/BlocklyML/blob/main/media/DatasetView.png\" alt=\"drawing\" width=\"500\"/\u003e\n\n\n## Download Code\nBlockly support both .py and .ipynb formats. You can download the code from the download option in the navigation bar\n\n\u003cimg src=\"https://github.com/chekoduadarsh/BlocklyML/blob/main/media/DownloadView.png\" alt=\"drawing\" width=\"200\"/\u003e\n\n# Contribute\n\nIf you find any error or need support please raise a issue. If you think you can add a feature, or help solve a bug please raise a PR\n\n### This repo welcomes any kind of contributions :pray: \n\nFeel free to adapt it criticize it and support it the way you like!!\n\nRead : [CONTRIBUTING.md](./CONTRIBUTING.md)\n\n\n# License\n[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)\n\n\n# Thanks to\n[![Stargazers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/stars/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/stargazers)\n[![Forkers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/forks/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/network/members)\n\n\n[![\"Buy Me A Coffee\"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/chekoduadarsh)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchekoduadarsh%2Fblocklyml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchekoduadarsh%2Fblocklyml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchekoduadarsh%2Fblocklyml/lists"}