Level.io
NinjaOne
Atera
WuInstall
Team Win Recovery Project (TWRP)
Safetica
OrangeFox recovery
ODIN
Dask
Pandas
Apache Airflow
NumPy
Apache Spark
Burla
Celery
SciPy
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.
Level.ioNo features have been listed yet.
Based on our record, Level.io should be more popular than Dask. It has been mentiond 34 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: 11 months ago
Level.io works from a browser, so no client needed on the controlling computer. Source: 11 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: 12 months 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
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: over 2 years ago
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: over 2 years ago
Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 2 years ago
I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 2 years ago
NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Atera - Atera’s all-in-one platform enables IT professionals to gain access, visibility, and control over all their networks and devices from anywhere, so they can work smarter and light years faster.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
WuInstall - WuInstall is a command line tool that makes it possible to install Windows Updates on demand.
NumPy - NumPy is the fundamental package for scientific computing with Python