{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"optapy","owner":"optapy","isFork":false,"description":"OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.","allTopics":["python","python3","artificial-intelligence","np-hard","np-complete","vehicle-routing-problem","local-search","simulated-annealing","tabu-search","metaheuristics","employee-rostering","task-assignment","traveling-salesman-problem","mathematical-optimization"],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":2,"issueCount":31,"starsCount":275,"forksCount":20,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-02T03:28:56.459Z"}},{"type":"Public","name":"optapy.github.io","owner":"optapy","isFork":false,"description":"The sources for optapy.org","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-12T15:26:53.217Z"}},{"type":"Public","name":"optapy-quickstarts","owner":"optapy","isFork":false,"description":"OptaPy quick starts for AI optimization: showcases many different use cases.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":8,"starsCount":20,"forksCount":13,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-25T18:14:20.833Z"}}],"repositoryCount":3,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"optapy repositories"}