{"id":15056693,"url":"https://github.com/morphl-ai/morphl-community-edition","last_synced_at":"2025-04-13T11:06:23.979Z","repository":{"id":113457096,"uuid":"114101409","full_name":"Morphl-AI/MorphL-Community-Edition","owner":"Morphl-AI","description":"MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization","archived":false,"fork":false,"pushed_at":"2019-10-02T11:48:46.000Z","size":146,"stargazers_count":261,"open_issues_count":8,"forks_count":29,"subscribers_count":34,"default_branch":"master","last_synced_at":"2025-03-21T11:23:45.394Z","etag":null,"topics":["artificial-intelligence","cassandra","conversion-rate-optimization","data-driven-design","front-end-development","hadoop-hdfs","kubernetes","machine-learning","morphl-platform","pipeline","product-development","pyspark","user-experience"],"latest_commit_sha":null,"homepage":"https://morphl.io","language":"Python","has_issues":false,"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/Morphl-AI.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}},"created_at":"2017-12-13T09:33:53.000Z","updated_at":"2024-12-24T06:11:22.000Z","dependencies_parsed_at":"2023-04-11T01:03:05.473Z","dependency_job_id":null,"html_url":"https://github.com/Morphl-AI/MorphL-Community-Edition","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Morphl-AI%2FMorphL-Community-Edition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Morphl-AI%2FMorphL-Community-Edition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Morphl-AI%2FMorphL-Community-Edition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Morphl-AI%2FMorphL-Community-Edition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Morphl-AI","download_url":"https://codeload.github.com/Morphl-AI/MorphL-Community-Edition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245767359,"owners_count":20668826,"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":["artificial-intelligence","cassandra","conversion-rate-optimization","data-driven-design","front-end-development","hadoop-hdfs","kubernetes","machine-learning","morphl-platform","pipeline","product-development","pyspark","user-experience"],"created_at":"2024-09-24T21:55:13.917Z","updated_at":"2025-03-27T02:12:32.388Z","avatar_url":"https://github.com/Morphl-AI.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://raw.githubusercontent.com/Morphl-Project/media-kit/master/05%20-%20Banners/morphl-banner-color.png\" style=\"width:1200px; height: auto;\" /\u003e\n\u003c/div\u003e\n\n# MorphL Community Edition\n\nMorphL Community Edition uses Big Data \u0026 Machine Learning to predict user behaviors in digital products and services with the goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization. MorphL AI is funded through [Google Digital News Initiative](https://newsinitiative.withgoogle.com/dnifund/) and [European Data Incubator](https://edincubator.eu/).\n\nThe process of building successful data-driven products undergoes many iterations. Data scientists, product manager, marketing or sales people and software developers need to come together to analyze the data and create a feature list for the next product release. This leads to lots of guess-work, not to mention the huge amount of time and resources required to reach a decent result, whether that’s spent on analyzing the data or developing new or improved product features.\n\nMorphL reduces the complexity of implementing a **personalized digital experience** by offering built-in ML models \u0026 algorithms that cover a wide range of data sources and use-cases.\n\n# How it works\n\n\u003ctable\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e\u003cimg src=\"https://morphl.io/images/icons/analytics/file-2.svg\" width=\"120\"/\u003e\u003c/td\u003e\u003ctd\u003e\u003cstrong\u003eMorphL Platform\u003c/strong\u003e\u003cbr/\u003e\n        The backbone of the platform is the \u003cstrong\u003eMorphL Orchestrator\u003c/strong\u003e, that sets up the Big Data techstack required for running pipelines for data ingestion, models training and generating predictions.\n        \u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e\u003cimg src=\"https://morphl.io/images/icons/analytics/server.svg\" width=\"120\"/\u003e\u003c/td\u003e\u003ctd\u003e\u003cstrong\u003eMorphL Integrations\u003c/strong\u003e\u003cbr/\u003e\nWe integrate with various data sources. At the moment, we support Google Analytics, Google Analytics 360, BigQuery, Google Cloud Storage and AWS S3.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e\u003cimg src=\"https://morphl.io/images/icons/analytics/analytics-1.svg\" width=\"120\"/\u003e\u003c/td\u003e\u003ctd\u003e\u003cstrong\u003eMorphL Predictive Models\u003c/strong\u003e\u003cbr/\u003e\nWe're utilizing open-source machine learning algorithms to build predictive models which are then used to develop predictive applications.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e\u003cimg src=\"https://morphl.io/images/icons/analytics/api.svg\" width=\"120\"/\u003e\u003c/td\u003e\u003ctd\u003e\u003cstrong\u003eMorphL Predictions API\u003c/strong\u003e\u003cbr/\u003e\n        All predictions are available via a REST API, which makes it easier for software developers to incorporate AI capabilities within their digital products or services. \n    \u003c/td\u003e\n\u003c/tr\u003e\n\n\u003c/table\u003e\n\nThe setup guide is available [here](orchestrator/).\n\n# Architecture\n\nThe MorphL Platform consists of two main components:\n\n- **[MorphL Platform Orchestrator](orchestrator/)** - This is the backbone of the platform. It sets up the infrastructure required for running pipelines for each model.\n\n- **[MorphL Pipelines](pipelines/)** - Consists of various Python scripts, required for retrieving data from various sources, pre-processing, training a model and generating predictions.\n\n---\n\nThe code that you'll find in this repository is a mirror that we use for making releases. If you want to contribute to a pipeline or create a new model, please open a pull request in the corresponding repository from the [MorphL-AI organization](https://github.com/Morphl-AI).\n\nYou can read more about MorphL here: https://morphl.io. Follow us on Twitter: https://twitter.com/morphlio. Join our Slack community and chat with other developers: http://bit.ly/morphl-slack\n\n# MorphL Cloud\n\nOn-premises, Cloud or Hybrid. For companies that want to AI-enhance their digital products \u0026 services without the hassle of dealing with a Big Data \u0026 Machine Learning infrastructure, we offer several deployment options that best suits your business needs and budget.\n\nFor enterprise sales or partnerships please contact us [here](https://morphl.io/company/contact.html) or at contact [at] morphl.io.\n\n## License\n\nLicensed under the [Apache-2.0 License](https://opensource.org/licenses/Apache2.0).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmorphl-ai%2Fmorphl-community-edition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmorphl-ai%2Fmorphl-community-edition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmorphl-ai%2Fmorphl-community-edition/lists"}