Compare NumPy vs. statsmodels

If you are developing software for Logistics Dispatch Solutions, which contain challenges: -For staff dispatching, such as sales reps, mobile service, or workforce? -For truck shipment allocation in daily transportation and logistics (scheduling, tour optimization, etc.)? -For waste management and District Planning? -Generally, highly constrained problem sets? And your product does not have an automized optimization engine? Then JOpt is the perfect fit for your product and can help you to save money, time, and workforce, letting you concentrate on your core business. JOpt.TourOptimizer is an adaptable component to solve VRP, CVRP, and VRPTW class problems for any route optimization in logistics or similar fields. It comes as a Java library or in Docker Container utilizing the Spring Framework and Swagger.

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Docmosis is a self-hosted or SaaS template-based document generation solution.  Integrate with custom-built software applications or popular third-party apps using the API. Create templates using MS Word or LibreOffice. Add plain-text placeholders to control: the insertion of text/images/tables; conditionally add/remove any content; perform calculations; loop over repeating data; format data/numbers and much more. Integrate with: Custom software built using Java, C#, Python, PHP, Ruby and more via a REST API; Low-code and no-code platforms like Appian, Bubble, Mendix, Outsystems; Third-party form builders or apps that can perform a webhook such as FormAssembly or Salesforce. Used by customers in Finance, Health, Legal, Education, Government, HR, Insurance, Logistics, and Manufacturing to generate customized letters invoices, proposals, contracts, statements, reports and more.

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Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support both individual developers and teams, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

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