
JOpt.TourOptimizer is an enterprise optimization engine for route planning, scheduling, and resource allocation across logistics, transportation, dispatch, and field service operations. It is built for organizations that need to solve complex planning problems under real-world business constraints rather than simple consumer-grade route calculation. The platform supports vehicle routing and scheduling scenarios such as VRP, CVRP, VRPTW, pickup and delivery, multi-depot planning, heterogeneous fleets, and workforce scheduling.
JOpt.TourOptimizer can model time windows, working hours, visit durations, capacities, skills and expertise levels, territories, zone governance, overnight stays, alternate destinations, and custom business rules. This makes it suitable for production deployments where feasibility, transparency, and operational reliability matter. It is designed to generate practical plans that help teams balance travel time, service commitments, workload distribution, and operational cost in demanding enterprise environments.
The solution is available both as an embedded Java SDK and as a Docker-based REST API with OpenAPI and Swagger support. This allows software vendors, enterprise developers, and system integrators to embed advanced optimization into TMS, ERP, CRM, WMS, dispatch systems, customer platforms, and field service applications. With support for scalable integration and modern service architectures, JOpt.TourOptimizer helps organizations improve planning efficiency, service quality, SLA compliance, transparency, and operational resilience at scale. It also supports enterprise integration strategies that require reproducible optimization runs, structured outputs, and flexible deployment models.
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CrankWheel allows you to share your screen while on a call. This makes it easy to create engaging presentations. You can send a link via email or SMS to the viewer and they will be able to view it in any browser on any device. CrankWheel was designed for simplicity and can be shared with customers to facilitate business deals.
CrankWheel can be used to complement calls from insurance agents, mortgage advisors and solar advisors as well as educators and customer support specialists.
CrankWheel is easy to integrate with websites and allows users to add a Demo button to receive quick notifications. We can show you if they are paying attention. Our Chrome Extension has enabled over 50,000 users to share their screens with prospects, regardless of their technical skills or device choice. CrankWheel can be used on old browsers and obscure devices, even with poor network connections. It works on Mac, Android, iOS, Blackberries, Internet Explorer, and Android.
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requests
Requests is an elegantly designed library for HTTP that simplifies the process of sending HTTP/1.1 requests. It eliminates the hassle of manually appending query strings to URLs or encoding data for PUT and POST requests; instead, it encourages users to leverage the convenient JSON method. Currently, Requests boasts an impressive weekly download rate of approximately 30 million, making it one of the most popular Python packages, and it is utilized by over 1,000,000 repositories on GitHub, which solidifies its reliability and trustworthiness. This powerful library is readily accessible through PyPI and is equipped to meet the demands of building robust and efficient HTTP applications for modern requirements. It features automatic content decompression and decoding, support for international domains and URLs, as well as sessions that maintain cookie persistence. Additionally, it offers browser-style TLS/SSL verification, basic and digest authentication, and cookies that behave like familiar dictionaries. Users can also take advantage of multi-part file uploads, SOCKS proxy support, connection timeouts, and streaming downloads, ensuring a comprehensive toolkit for developers. Overall, the Requests library stands as a testament to simplicity and effectiveness in web communication.
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websockets
The websockets library offers a comprehensive implementation of the WebSocket Protocol (RFC 6455 & 7692) for creating both WebSocket servers and clients in Python, emphasizing accuracy, simplicity, durability, and high performance. Utilizing asyncio, which is Python’s built-in asynchronous I/O framework, it presents a sophisticated coroutine-based API that streamlines development. The library has undergone extensive testing to ensure it meets the requirements outlined in RFC 6455, and its continuous integration process mandates that every branch achieves 100% coverage. Designed specifically for production environments, websockets was notably the first library to effectively address backpressure issues before they gained widespread attention in the Python ecosystem. Furthermore, it offers optimized and adjustable memory usage, and utilizes a C extension to enhance performance for demanding operations. The library is conveniently pre-compiled for Linux, macOS, and Windows, and is distributed in wheel format tailored for each system and Python version. With websockets managing the intricate details, developers can dedicate their efforts to building robust applications without concern for the underlying complexities. This makes it an essential tool for developers looking to harness the full potential of WebSocket technology.
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