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Grafana: The open and composable observability platform
Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.
Grafana is the open source analytics & monitoring solution for every database.
A code-understanding tool based on cscope and ctags. Please go to the GitHub page for more information.
Homepage: http://ruben2020.github.io/codequery
GitHub: https://github.com/ruben2020/codequery
A general purpose source code indexer and cross-referencer that provides web-based browsing of source code with links to the definition and usage of any identifier. Supports multiple languages. Up-to-date information in http://lxr.sourceforge.net
The project has been moved to https://github.com/metrixplusplus/metrixplusplus
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Metrix++ is an extendable tool to collect and analyse code metrics.
- Multiple languages supported
- Multiple metrics available
- Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want.
- High-performance. Processes thousands of files per minutes.
-...
WELCOME TO THE SPLOITFRAMEWORK
SPLOIT COMES WITH A PAYLOAD OF THINGS
FOR ALL YOUR HACKING NEEDS, SUCH AS
1. Email Phishing
2. Spear Phishing
3. Spoofing
4. Credential Harvester
5. Kayloggers
6. Tabnabbing
And More . . .
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
PyCDep is a tool to analyze include dependencies between files in C and C++ programs. PyCDep itself is written in python. It dumps all the facts in a prolog database which can be queried. Visualization is possible by dumping graphviz (.dot) files.
XRay is an analysis tool built upon your SCMs, aimed to consolidade project statistics from many repositories in a single tool, generating code reports and development statistics obtained from log data and file versions.