{"id":30069186,"url":"https://github.com/apache/texera","last_synced_at":"2026-05-02T17:02:00.056Z","repository":{"id":37285069,"uuid":"53976910","full_name":"apache/texera","owner":"apache","description":"Collaborative Machine-Learning-Centric Data Analytics Using Workflows","archived":false,"fork":false,"pushed_at":"2026-04-28T06:42:57.000Z","size":81112,"stargazers_count":231,"open_issues_count":206,"forks_count":120,"subscribers_count":23,"default_branch":"main","last_synced_at":"2026-04-28T08:17:27.432Z","etag":null,"topics":["artificial-intelligence","cloud-native","data","data-analytics","data-science","machine-learning","texera","workflow"],"latest_commit_sha":null,"homepage":"https://texera.io/","language":"Scala","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/apache.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":"NOTICE","maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2016-03-15T20:38:46.000Z","updated_at":"2026-04-28T06:43:01.000Z","dependencies_parsed_at":"2024-05-03T13:33:39.397Z","dependency_job_id":"5b805657-b05c-4e22-85c5-1fcab1009821","html_url":"https://github.com/apache/texera","commit_stats":null,"previous_names":["apache/texera","texera/texera"],"tags_count":10,"template":false,"template_full_name":null,"purl":"pkg:github/apache/texera","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Ftexera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Ftexera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Ftexera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Ftexera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apache","download_url":"https://codeload.github.com/apache/texera/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Ftexera/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32542201,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T12:25:33.646Z","status":"ssl_error","status_checked_at":"2026-05-02T12:24:51.733Z","response_time":132,"last_error":"SSL_read: 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":["artificial-intelligence","cloud-native","data","data-analytics","data-science","machine-learning","texera","workflow"],"created_at":"2025-08-08T11:01:57.519Z","updated_at":"2026-05-02T17:02:00.049Z","avatar_url":"https://github.com/apache.png","language":"Scala","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eApache Texera - Human-AI Collaborative Data Science Using Visual Workflows\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://texera.io\"\u003e \u003cimg src=\"frontend/src/assets/logos/full_logo_small.png\" alt=\"texera-logo\" height=\"150px\"/\u003e \u003c/a\u003e\n  \u003cbr\u003e\n  \u003ci\u003eApache Texera (Incubating) is an open-source platform for human-AI collaborative data science using visual workflows.\u003c/i\u003e\n  \u003cbr\u003e\n  \n  \u003ch4 align=\"center\"\u003e\n    \u003ca href=\"https://texera.apache.org/\"\u003eOfficial Site\u003c/a\u003e\n    |\n    \u003ca href=\"https://texera.io/category/video/\"\u003eVideo\u003c/a\u003e\n    |\n    \u003ca href=\"https://texera.io/publications/\"\u003ePublications\u003c/a\u003e\n    | \n    \u003ca href=\"https://texera.io/category/blog/\"\u003eBlog\u003c/a\u003e\n    \u003cbr\u003e\n  \u003c/h4\u003e\n  \n\u003c/p\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Users-332-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Projects-86-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Workflows-2,481-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Executions-51K-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Workflow_Versions-357K-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Deployments-7-blue\"\u003e\n  \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Largest_Deployment-100_nodes,_400_cores-green\"\u003e\n\u003c/p\u003e\n\nApache Texera (Incubating) is an open-source platform for human-AI collaborative data science using visual workflows. It enables human analysts to construct, execute, and refine data analysis tasks through an intuitive GUI, assisted by AI agents that understand natural-language instructions. Texera is well suited for a wide range of applications, including “AI for Science,” by making advanced AI and data science capabilities accessible to a broader community. It can run on a laptop for local use or be deployed in the cloud to support scalable processing of large datasets.\n\nThe platform has the following key features:\n\n* Natural-language data science through AI agents \n* Intuitive GUI-based workflows for data science\n* Real-time collaboration for workflow editing and execution\n* Runtime debugging and interactive workflow execution\n* Language-agnostic workflow runtime, native support for Python and Java\n* Parallel backend engine for scalable big-data processing\n* Separation of compute and storage for flexible cloud deployment\n\n\n![texera-screenshot](docs/system-screenshot.png)\n\n\n# Citation\nPlease cite Texera as \n```\n\n@article{DBLP:journals/pvldb/WangHNKALLDL24,\n  author       = {Zuozhi Wang and\n                  Yicong Huang and\n                  Shengquan Ni and\n                  Avinash Kumar and\n                  Sadeem Alsudais and\n                  Xiaozhen Liu and\n                  Xinyuan Lin and\n                  Yunyan Ding and\n                  Chen Li},\n  title        = {Texera: {A} System for Collaborative and Interactive Data Analytics\n                  Using Workflows},\n  journal      = {Proc. {VLDB} Endow.},\n  volume       = {17},\n  number       = {11},\n  pages        = {3580--3588},\n  year         = {2024},\n  url          = {https://www.vldb.org/pvldb/vol17/p3580-wang.pdf},\n  timestamp    = {Thu, 19 Sep 2024 13:09:37 +0200},\n  biburl       = {https://dblp.org/rec/journals/pvldb/WangHNKALLDL24.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapache%2Ftexera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapache%2Ftexera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapache%2Ftexera/lists"}