Search Results for "automatic1111-stable-diffusion"
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39 projects for "automatic1111-stable-diffusion" with 2 filters applied:
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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. -
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Kieker
Software Monitoring Framework
Kieker is a framework for continuous monitoring and dynamic analysis of distributed software systems. Being designed for continuous operation, it induces only a low overhead. The TraceAnalysis tool allows to analyze and visualize trace information. -
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8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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Madmap is a tool to help analyze java heap dumps. New in v1.1 it supports hprof ascii and now binary dumps collected with jmap. It helps find memory leaks by showing the live set and automatically calculating which objects retain the most heap size.
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AnalysesOracle Performance Doctor is a tool which helps you to understand the behavior of your application on Oracle database level. The tool does: 1. Extract execution plan for all SQLs executed by specified db user and print it to file on server side. 2. For all executed SQL statements the tool will provide more performance version of sql text by using built-in module dbms_sqltune.
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Poor Man's Timing And Profiling
Library tools to collect timing in Java, C, C++
A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format. -
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Memory Profiler for C
Simple C library for helping writting code with no memory leaks
Memory Profiler for C is a very simple C library for helping developers writting code which contains no memory leaks. It keeps track of all the allocated dynamic memory and allows for its printing. The source code is very simple and easily customizable. -
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The perl module CGI::Application::Plugin::DBIProfile is a plugin for the CGI::Application web application framework. It provides DBI Profile information (see DBI::Profile) as both textual reports and graphed output.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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The perl module CGI::Application::Plugin::DBIProfile is a plugin for the CGI::Application web application framework. It provides DBI Profile information (see DBI::Profile) as both textual reports and graphed output.
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QuickProf is a simple runtime performance measurement tool for C++ code. It provides a rough performance estimate with minimal effort. This kind of feedback can be invaluable to developers who want to optimize performance where it matters.
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This is a simple C/C++ tool to exactly profile certain functions/blocks of code in a multithreaded application. In particular, this tool can be used to precisely measure overheads.
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Stand alone Java application used simulate a memory leak in order to generate profile signatures. The application has the ability to generate system (CPU) load in order to observe profile signature changes.
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VisualMon is a concise dashboard for Java web applications, it shows statistics gathered by JAMon, reduced to the data relevant to the concrete web application and with a visually pleasant appearance.
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A Ruby file parser/interpreter/preprocessor that comments lines of code based on conditions at the time the file is required. Very handy to implement debugging logs and code that has to be commented (not just dynamically switched off).
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Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
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Objectreferenceanalyser (ORA) helps finding memory leaks, design weaknesses and bugs. The ORA-Framework visualizes objects, their content and relations during runtime of any Java application and is able to persist these findings for subsequent analyze.
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Mindtree Insight
Log file parser and viewer
Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis. -
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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.
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Application Management makes your application life easier. Automatic do memory management, handle and log unhandled exceptions, profiling your functions, make your application single instance and also provide util functions to get system information.
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Glassbox is an automated troubleshooting and monitoring agent for Java apps that diagnoses common problems with one-click. Drop in a .war file from http://www.glassbox.com and find out what's wrong with your existing web apps, without any code chang
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Stopwatch is a simple, highly extensible, API that alows monitoring of any part of the application. It reports hits, execution times and load but can be extended to do more via custom engines. It is able to persist data in "in-memory" or real database.
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Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point
