JupyterHub Verified Customer Reviews (2026)

ManageEngine Endpoint Central is an enterprise-grade unified endpoint management and security solution that helps IT teams manage, secure, and support every device across their organization from a single centralized console. Endpoint Central provides the tools, automation, and intelligence needed to keep every endpoint secure, compliant, and productive. At its core, Endpoint Central automates the most time-consuming aspects of endpoint administration. Patch management covers Windows, macOS, Linux, and 1,000+ third-party applications with automated deployment policies, test-and-approve workflows, and rollback capabilities. Software deployment enables IT teams to install, update, and remove applications across thousands of endpoints simultaneously, while OS imaging workflows standardize device configurations for faster, consistent onboarding. On the security side, vulnerability assessment continuously prioritizes endpoint weaknesses using AI-powered risk scoring. Application control enforces a default-deny approach, blocking unauthorized software before execution. EDR delivers continuous behavioral monitoring and incident response, while NGAV neutralizes malware and ransomware before they cause damage. Device control, privilege management, browser security, and BitLocker and FileVault encryption complete the security stack. Remote support is built in no third-party tools required. IT technicians connect instantly to Windows, macOS, and Linux endpoints for real-time troubleshooting and diagnostics. Integrated MDM extends management to iOS and Android devices. DEX monitoring provides visibility into device performance and application reliability enabling IT teams to resolve issues before employees raise a ticket. Available as cloud or on-premises across five editions.

JDisc Discovery serves as a robust solution for IT asset management and network discovery, offering organizations valuable, real-time visibility into their complete IT landscape. By conducting automated network scans, it efficiently detects and organizes a variety of devices, which ranges from physical servers and workstations to virtual machines and network appliances, thus providing users with a comprehensive asset inventory. The tool meticulously gathers crucial information, encompassing hardware specifications, installed software, system configurations, and the interrelationships among devices, ensuring thorough documentation of the IT environment. One of the standout features of JDisc Discovery is its agentless design. Instead of requiring software installation on each device, it utilizes multiple protocols such as SNMP, SSH, and WMI to collect data, facilitating rapid deployment and ensuring compatibility across an array of operating systems, including Windows, Linux, and Unix. This adaptability makes it particularly well-suited for varied and evolving IT infrastructures, allowing for effective and unobtrusive data acquisition. Additionally, its user-friendly interface enhances the overall management experience, empowering IT teams to make informed decisions based on accurate and up-to-date information.

Datalore serves as a collaborative data science and analytics platform designed to enhance the analytics workflow, making data interaction more enjoyable for both data scientists and business teams with analytical skills. This platform prioritizes the efficiency of data teams, enabling technically skilled business users to engage with data teams through no-code and low-code solutions alongside the robust capabilities of Jupyter Notebooks. With Datalore, business users can enjoy analytic self-service by utilizing SQL or no-code cells, generating reports, and exploring data in depth. This functionality also allows core data teams to concentrate on more complex tasks, thus streamlining their workflow. Moreover, Datalore facilitates seamless collaboration between data scientists and analysts, enabling them to share their findings with ML Engineers. Users can effortlessly share their code with ML Engineers who have access to powerful CPUs and GPUs, all while collaborating in real time with colleagues for improved productivity and creativity. Ultimately, Datalore seeks to bridge the gap between technical and non-technical users, fostering a truly collaborative environment in the data science field.