Search Results for "black box"
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Showing 40 open source projects for "black box"
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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1
frida
Dynamic instrumentation toolkit for developers
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts. Works on Windows, macOS, GNU/Linux, iOS, Android, and QNX. Install the Node.js bindings from npm, grab a Python package from PyPI, or use Frida through its Swift bindings, .NET bindings, Qt/Qml bindings, or C API. ... -
2
Honggfuzz
Security oriented software fuzzer
...Instrumentation via compiler hooks or hardware/perf counters guides mutations toward previously unseen edges, while persistent mode keeps the target process alive to amortize startup costs. The tool integrates tightly with sanitizers and can attach to already running processes, making it convenient for both white-box and black-box fuzzing. When it finds a crash, honggfuzz captures detailed context, minimizes the input, and can pin reproducibility by controlling CPU affinity and resource limits. Its small footprint and straightforward CLI make it easy to drop into CI or long-running campaigns across many cores. -
3
JuliaFormatter.jl
An opinionated code formatter for Julia
Width-sensitive formatter for Julia code. Inspired by gofmt, refmt, black, and prettier. Built with CSTParser. Sane defaults out of the box with options to customize. Supports YAS, Blue and SciML style guides. JuliaFormatter.toml configuration file to store options. JuliaFormatter exports format, format_file, format_text, and format_md. format_md has the same API as format_text but differ in that format_md expects the text content to be a Markdown document. -
4
BayesianOptimization
A Python implementation of global optimization with gaussian processes
BayesianOptimization is a Python library that helps find the maximum (or minimum) of expensive or unknown objective functions using Bayesian optimization. This technique is especially useful for hyperparameter tuning in machine learning, where evaluating the objective function is costly. The library provides an easy-to-use API for defining bounds and optimizing over parameter spaces using probabilistic models like Gaussian Processes. -
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5
Detox
Gray box end-to-end testing and automation framework for mobile apps
...The most difficult part of automated testing on mobile is the tip of the testing pyramid - E2E. The core problem with E2E tests is flakiness, tests are usually not deterministic. We believe the only way to tackle flakiness head on is by moving from black box testing to gray box testing. That's where Detox comes into play. Detox is built from the ground up to support React Native projects as well as pure native ones. Read the Getting Started Guide to get Detox running on your app in less than 10 minutes. We believe that the only way to address the core difficulties with mobile end-to-end testing is by rethinking some of the principles of the entire approach. -
6
OpenCost
Cost monitoring for Kubernetes workloads and cloud costs
OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services. -
7
Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
...Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on mathematical steps. The repository includes clustering, regression, classification, neural networks, anomaly detection, and other standard ML topics. Does not rely heavily on specialized toolboxes or library shortcuts. -
8
Face Alignment
2D and 3D Face alignment library build using pytorch
...While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
9
Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and then experiment with multiple strategies—evolutionary algorithms, Bayesian optimization, bandit methods, genetic algorithms, etc. ... -
Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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10
Sera UI
UI component library for React, Next.js, and other JSX frameworks
...One of its defining characteristics is its copy-and-paste philosophy, allowing developers to directly own and modify component code instead of relying on rigid packages or black-box abstractions. The library includes a growing collection of reusable components such as buttons, forms, modals, tabs, and layout elements, all crafted with attention to design quality and usability. It also integrates animation capabilities through Framer Motion, enabling smooth transitions and micro-interactions that enhance user experience without requiring complex implementation. -
11
3D Box rotation
Simple example of draw and rotate 3D box
Simple source .java file; .bat for fast re-compile and run; and pre-compiled .jar Java program with example from scratch writed in Notepad++ without Eclipse, etc., How to draw and rotate 3D box most simple way. Rotation speed regulated in simple Loop with 10 ms sleep. Use Java version 8 (OpenJDK 8, OracleJDK 8, OracleJRE 8, ..). Higher versions have an anti-aliasing error in the BufferedImage ( Windows 10 ). Python version with tkinter and math imports. Including calculated faces,... -
12
Instigate Application Framework
Software libraries for effective development of desktop applications.
...The registration API also provides means to enter description of user data which is used for generation of high quality standard-compliant Reference Manual for the application. Registered database is wrapped into a scripting interface to enable of automatic generation of black-box tests. -
13
napi
napi - Isolate and deploy APIs separately at build time
...Our vision is to help you reduce your reliance on consultants and contractors, while gaining deeper insights into system architecture-level concerns. The added benefit? No more black-box consultant tools running on your code. -
14
hapi
The simple, secure framework developers trust
Build powerful, scalable applications, with minimal overhead and full out-of-the-box functionality. Originally developed to handle Walmart’s Black Friday scale, hapi continues to be the proven choice for enterprise-grade backend needs. When you npm install @hapi/hapi, every single line of code you get has been verified. You never have to worry about some deep dependency being poorly maintained (or handed over to someone sketchy). hapi is the only leading node framework without any external code dependencies. ... -
15
FormatFuzzer
FormatFuzzer is a framework for generation and parsing of binary input
FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs. It takes a binary template that describes the format of a binary input and generates an executable that produces and parses the given binary format. -
16
SOAP/REST Mock Service
Mock service for SOAP/REST webservices to support automated tests.
SOAP/REST Mock Service is a simple configurable application designed to mock any SOAP or RESTful (or "REST-like") webservices. It's main goal is to support automated black box integration testing of applications that integrate with 3rd party applications. Check the Wiki section for more details. -
17
glint
A tool for finite state machine analysis and synthesis.
...glint saves you from pondering how your finite state machine should be organized, how many states it should have and what they should mean. You just tell glint how you would like your control entity to operate and glint returns to you the synthesised magic black box which implements the desired logic. Also glint can tell you in regexp style which event sequences your FSM can handle and which are forbidden for it. -
18
Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. ... -
19
Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It... -
20
Black-box system testing of web applications for developers. Intuitive, simple usage. Common-sense behavior. Fixes notorious bugs in DbUnit. Wraps DbUnit, Unitils and JWebUnit in common, modern usage pattern.
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21
Molokai
Molokai color scheme for Vim
...Because of its longevity, tutorials around it and support for many terminal types exist. Some users modify it further (comment colours, font styles) but out of the box it remains solid and dependable. -
22
Picvert
Extensible black box test automation tool
Extensible black box test automation tool -
23
MonoFlow
A monolithic flow based programming application
MonoFlow is: A monolithic flow based programming application FBP is "a programming paradigm that defines applications as networks of "black box" processes, which exchange data across predefined connections by message passing, where the connections are specified externally to the processes." Full explanation here: http://www.jpaulmorrison.com/fbp/ For the github version of this : https://github.com/krattai/monoflow Why "MonoFlow"? For all intents and purposes, the application / environment is intended to be fully extensible. ... -
24
Pyringe
Debugger capable of attaching to and injecting code into python
...It’s also useful for forensic snapshots: enumerate objects of a certain type, find reference cycles, or measure memory pressure without pre-instrumentation. While powerful, it’s designed for careful, auditable use—showing exactly what code runs and where—so teams can regain visibility when black-box processes go sideways. -
25
String221B
Small win form app for generating strings for black box testing
A simple win forms application written in C# that allows a user to enter a string and the number of time it should be repeated and then send it to the users clipboard. This is useful for software testers wanting to generate long strings or strings with specific patterns for use in black box testing.
