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Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
Matlab/Octave to Python conversion facility. The tool will take existing scripts
and convert them to Python. Also includes Python bindings to Octave and
a small runtime support library. Built on top of Numeric Python extensions.
MatPy is a Python package for numerical linear algebra and plotting with a
MatLab-like interface. It currently consists of wrappers around Numeric and
Gnuplot packages, but eventually may be implemented directly in C/C++, or as
interface to Octave.
Paessler: Easy to Use With Enterprise Power. Free Trial
A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.