Search Results for "multi"
Sort By:
Showing 3 open source projects for "multi"
View related business solutions-
One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
-
Endpoint Management with Remote Control Built InSave 50% on your first year when you switch from your existing RMM to Splashtop AEM. Automate patching, track inventory, and jump directly into 1-click unattended remote sessions without switching tools.
-
1
NetworkX
Network analysis in Python
...Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
2
pascal p5c
fast, portable Pascal compiler using gnu c as intermediate code
...It is derived from the pascal p5 compiler and creates gnu c code instead of p-code. This makes it very fast since it uses gcc to generate native code. p5c is multi platform - it is easy to get up and running since you only need gcc to start. Using gcc enables extra tools like a static analyser and code coverage analyser. Execution profiling described in the blog here -> https://sourceforge.net/p/pascal-p5c/blog/2017/07/how-to-use-profiling-to-speed-up-p5c-pascal-programs It extends p5 by adding arbitrary set limits and conformant arrays. ... -
3
A cross platform Http web server developed using C++. Agile methodology with emphasis on :- 1. Good Design 2. Object Oriented Programming 3. Refactoring 4. Static/Dynamic Analysis, Unit-testing, Code Coverage 5. Software Engineering best practices.
- Previous
- You're on page 1
- Next
