{"id":13737920,"url":"https://github.com/unitn-sml/pyconstruct","last_synced_at":"2025-05-08T15:32:04.152Z","repository":{"id":43557534,"uuid":"125644768","full_name":"unitn-sml/pyconstruct","owner":"unitn-sml","description":"Python library for declarative, constrained, structured-output prediction.","archived":false,"fork":false,"pushed_at":"2023-10-16T22:02:43.000Z","size":14417,"stargazers_count":21,"open_issues_count":2,"forks_count":4,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-11-15T06:32:52.785Z","etag":null,"topics":["constraint-programming","jinja2","machine-learning","minizinc","structured-prediction"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/unitn-sml.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,"dei":null}},"created_at":"2018-03-17T15:47:50.000Z","updated_at":"2024-04-12T13:18:21.000Z","dependencies_parsed_at":"2024-04-16T22:03:26.705Z","dependency_job_id":"b7af767c-97d5-4e2c-b285-47a2631129bc","html_url":"https://github.com/unitn-sml/pyconstruct","commit_stats":{"total_commits":285,"total_committers":3,"mean_commits":95.0,"dds":"0.010526315789473717","last_synced_commit":"f7174b00f16e34ca582bb1923ef46e871fc892b9"},"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/unitn-sml%2Fpyconstruct","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/unitn-sml%2Fpyconstruct/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/unitn-sml%2Fpyconstruct/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/unitn-sml%2Fpyconstruct/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/unitn-sml","download_url":"https://codeload.github.com/unitn-sml/pyconstruct/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253096251,"owners_count":21853566,"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":["constraint-programming","jinja2","machine-learning","minizinc","structured-prediction"],"created_at":"2024-08-03T03:02:05.875Z","updated_at":"2025-05-08T15:32:03.440Z","avatar_url":"https://github.com/unitn-sml.png","language":"Python","readme":"Pyconstruct\n===========\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg height=\"300px\" src=\"docs/_images/pyconstruct.png\"\u003e\u003cbr\u003e\u003cbr\u003e\n\u003c/div\u003e\n\n**Pyconstruct** is a Python library for declarative, constrained,\nstructured-output prediction. When using Pyconstruct, the problem specification\ncan be encoded in MiniZinc, a high-level constraint programming language. This\nmeans that domain knowledge can be declaratively included in the inference\nprocedure as constraints over the optimization variables.\n\nCheck out the [Quick Start\nguide](https://unitn-sml.github.io/pyconstruct/quick_start.html) to learn\nhow to solve your first problem with Pyconstruct.\n\nHave a look at the [docs](https://unitn-sml.github.io/pyconstruct/index.html)\nand the [reference\nmanual](https://unitn-sml.github.io/pyconstruct/reference/index.html) too, to\nlearn more about it!\n\nInstall\n-------\nPyconstruct can be installed through `pip`:\n\n```bash\npip install pyconstruct\n```\n\nOr by downloading the code from Github and running the following from the\ndownloaded directory:\n\n```bash\npython setup.py install\n```\n\nBefore using Pyconstruct you will need to install **MiniZinc** as well.\nDownload the latest release of MiniZincIDE and follow the instructions.\n\nCheck out the [Installation\nguide](https://unitn-sml.github.io/pyconstruct/install.html) for more details.\n\nAuthors\n-------\nThis project is developed at\nthe [SML research group](http://sml.disi.unitn.it/) at the University of Trento, Italy and\n[DTAI](https://dtai.cs.kuleuven.be/) at KU Leuven, Belgium.\nThe main developers and maintainers are:\n\n* [Paolo Dragone](http://paolodragone.com) (SML)\n* [Stefano Teso](https://people.cs.kuleuven.be/~stefano.teso/) (DTAI)\n* [Andrea Passerini](http://disi.unitn.it/~passerini/) (SML)\n","funding_links":[],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funitn-sml%2Fpyconstruct","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funitn-sml%2Fpyconstruct","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funitn-sml%2Fpyconstruct/lists"}