Search Results for "google-visualization-python"
Sort By:
Showing 35 open source projects for "google-visualization-python"
View related business solutions-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
1
py-spy
Sampling profiler for Python programs
py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command line of the python program you want to run. py-spy has three subcommands record, top and dump. py-spy supports recording profiles to a file using the record command. ... -
2
GPerftools
Fast, multi-threaded malloc() and nifty performance analysis tools
GPerftools (formerly Google Performance Tools) is a collection of a high-performance multi-threaded malloc() implementation, plus some pretty nifty performance analysis tools useful for creating more robust applications. These tools can be especially useful when developing multi-threaded applications in C++ with templates. Among these tools are TCMalloc, a thread-friendly heap-checker, heap-profiler and cpu-profiler. -
3
Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
4
TimerMiddleware
Timing & instrumentation for python web apps
Docs: https://pythonhosted.org/TimerMiddleware/ PYPI: https://pypi.python.org/pypi/TimerMiddleware -
Paessler: Easy to Use With Enterprise Power. Free TrialYou 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.
-
5
Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
6
qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
7
Open|SpeedShop
Open|SpeedShop is an open source multi platform Linux performance tool
Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale IA64, IA32, EM64T, AMD64, PPC, Blue Gene, ARM and Cray platforms. -
8
ParTools
Support for manual parallelization of sequential C programs.
ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a... -
9
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
LightProfiler
Profiler for Oracle extended SQL trace files
LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor... -
11
lockviz
Visualization of Java thread dumps
This tool allows the user to load, visualize and analyse Java thread dumps that are generated by Visual VM. Please see the Wiki for a Quick Start guide and tutorials. -
12
SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.
-
13
A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
-
14
The sandbox libraries (libsandbox & pysandbox) are an open-source suite of software components for C/C++ and Python developers to create automated profiling tools and watchdog programs. The API's are designed for executing and instrumenting simple (single process) tasks, featuring policy-based behavioral auditing, resource quota, and statistics collecting. The sandbox libraries were originally designed and utilized as the core security module of a full-fledged online judge system for ACM/ICPC training. ...
-
15
KCachegrind visualizes traces generated by profiling, including a tree map and a call graph visualization of the calls happening. It's designed to be fast for very large programs like KDE applications.
-
16
-
17
Celero
C++ Benchmarking Library
This project is now maintained at GitHub: https://github.com/DigitalInBlue/Celero Celero is a cross-platform open source C++ benchmarking library. Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions. -
18
Debug Visualization Tools
Visualization tools to help developers analyze program execution
This is a research project aimed at providing tools to help developers capture and visualize what is actually happening when your program executes. And hopefully make debugging an easier, quicker and less painful process. -
19
This project is a tool for beginners to understand why a MPI program works or doesn't. It aims simple MPI codes, with a modest number of Processes. It is a real time view of an executing code, providing help even when the program deadlocks.
-
20
BinScan is a graphical tool to analyze the library dependencies of binaries. It integrates both tools "ldd" and "nm" into a single GUI frontend. it displays the library dependencies of executables and the symbols it references in shared libraries
-
21
Syrupy is a Python script that regularly takes snapshots of the memory and CPU load of one or more running processes, so as to dynamically build up a profile of their usage of system resources.
-
22
Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.
-
23
-
24
pycallgraphTAexport is an extension of the python module pycallgraph. pycallgraphTAexport is a modified version of pycallgraph which adds the ability to export in the TA (tuple-attribute) format used by many software architecture analysis tools.
-
25
