Level enables IT Professionals to remotely manage and monitor their workstations and servers from anywhere in the world. Level is the first security-focused remote monitoring and management (RMM) platform to implement peer-to-peer (P2P) connections that ensure a fully private and encrypted connection.
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Based on our record, NumPy should be more popular than Level.io. It has been mentiond 111 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Level.io does this plus a whole lot more. As some have mentioned already, ideally there are lists of things to monitor. These can all be added to a policy along with up/down status and applied to devices. Source: 12 months ago
Level.io works from a browser, so no client needed on the controlling computer. Source: 12 months ago
With Level.io you can create a script library and then run them on one (or many) target devices. They could be run on the local client that is being used as well, which is what I believe you're asking for. This all works via an agent that checks in to the service and is responsible for the queueing and running off the scripts. Source: about 1 year ago
Take a look at level.io for RMM. Free trial, no commitment, and no need to get a quote or talk to sales. Works for Windows, Mac, and Linux. Source: about 1 year ago
I'd recommend checking out Level (https://level.io). They charge a flat $1 per endpoint. Source: about 1 year ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 11 hours ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 8 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
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