Search Results for "robot framework test data" - Page 3
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Showing 140 open source projects for "robot framework test data"
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training... -
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QTester104
IEC 60870-5-104 protocol tester.
This software implements the IEC60870-5-104 protocol (client side) for substation data acquisition and control via tcp/ip network using the QT UI Framework. It can be compiled on Linux and Windows platforms. It's possible to poll and view data from the remote system (RTU) and also send commands. >>> Have a look also at my new SCADA project here: https://github.com/riclolsen/json-scada -
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Koarse Grind (formerly Coarse Grind)
Test Automation framework intended for coarse-grained testing
Koarse Grind has been rewritten in Kotlin (hence the 'K'). It's new home is here: https://github.com/william-hood/koarse-grind-kotlin __________________________________ Test Automation framework for Kotlin/Java with an integrated web-based user interface. It is intended for larger-grained testing of an installed & configured product, rather than unit testing. -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Step CI
Automated API Testing and Quality Assurance
Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others. -
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XRAY
XRay for recon, mapping and OSINT gathering from public networks
XRAY is a modular security toolset that helps developers and security professionals analyze, fuzz, and test web applications, protocols, and network services for vulnerabilities. It provides a framework for writing and executing inspection modules that can parse structured data (JSON, XML, HTML), traverse graphs of endpoints, and perform intelligent probing guided by discovered surface area. XRay is typically used as a reconnaissance and vulnerability discovery engine in red-team or app-security workflows: it leverages extensible plugins to adapt to different protocols, inject payloads, and detect common bug classes such as injection flaws, misconfigurations, and unsafe endpoints. ... -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models... -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
Jesse Bot: Advanced AI-Powered Python Best Crypto Trading Bot & Framework (2026) Jesse Bot — free open-source Python crypto trading bot & robust framework for cryptocurrency markets. Build, backtest, AI-optimize, and execute precise automated strategies with zero look-ahead bias. Use JesseGPT — built-in AI assistant — to write, debug, and refine strategies effortlessly, even as a beginner. Secure live trading on Binance, Bybit & major exchanges, full risk management, leverage/futures... -
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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local-llm
Run LLMs locally on Cloud Workstations
...The repository includes tools, Docker configurations, and command-line utilities that simplify the process of downloading, running, and interacting with language models directly on local or cloud-based workstations. This approach improves data privacy and control, as all inference can be performed locally without sending sensitive information to external APIs. It also integrates seamlessly with Google Cloud services, allowing developers to build and test AI-powered applications within the broader cloud ecosystem. -
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Apache JMeter
Load testing tool for analyzing and measuring performance of services
The Apache JMeter™ application is open-source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions. Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications. It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze... -
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Kompute
General purpose GPU compute framework built on Vulkan
General purpose GPU compute framework built on Vulkan to support 1000s of cross-vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU data processing use cases. Backed by the Linux Foundation. -
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YiVal
Your Automatic Prompt Engineering Assistant for GenAI Applications
YiVal is an open-source framework designed to automate prompt engineering and evaluation workflows for generative AI applications, enabling developers to systematically improve the performance of large language models. It focuses on experimentation and optimization by allowing users to test multiple prompt variations, configurations, and model parameters in parallel, then evaluate their outputs using structured metrics and scoring systems. -
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HttpRunner
Testing framework that began with API and performance testing
HttpRunner is an open-source testing framework that began with API and performance testing and has evolved into a general, extensible test platform. The current major version is implemented in Go, with the legacy Python edition split to a separate repository; this shift emphasizes a single, fast, cross-platform runtime for modern pipelines. It provides declarative test cases, data-driven parametrization, and plugin mechanisms so teams can compose reusable steps and validations at scale. ... -
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
fastquant is a Python library designed to simplify quantitative financial analysis and algorithmic trading strategy development. The project focuses on making backtesting accessible by providing a high-level interface that allows users to test investment strategies with only a few lines of code. It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. The framework enables users to test common strategies such as moving average crossovers, momentum trading, and custom indicators on historical stock data. -
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NBi
NBi is a testing framework (add-on to NUnit)
NBi is a testing framework (add-on to NUnit) for Business Intelligence. It supports most of the relational databases (SQL server, MySQL, postgreSQL ...) and OLAP platforms (Analysis Services, Mondrian ...) but also ETL and reporting components (Microsoft technologies). The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# code to specify your tests! Either, you don't need Visual... -
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Lightning-Hydra-Template
PyTorch Lightning + Hydra. A very user-friendly template
Convenient all-in-one technology stack for deep learning prototyping - allows you to rapidly iterate over new models, datasets and tasks on different hardware accelerators like CPUs, multi-GPUs or TPUs. A collection of best practices for efficient workflow and reproducibility. Thoroughly commented - you can use this repo as a reference and educational resource. Not fitted for data engineering - the template configuration setup is not designed for building data processing pipelines that... -
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JavaScript & Node.js Testing
Comprehensive and exhaustive JavaScript & Node.js testing
...It distinguishes between different kinds of tests—unit, integration, end-to-end—and shows when each is appropriate given time and risk constraints. The guide focuses on removing flakiness by isolating side effects, controlling randomness, and stabilizing async code paths. It also demonstrates test design techniques like arranging test data, using expressive assertions, and structuring test suites for readability and discoverability. Tooling agnosticism is a theme: patterns are illustrated with popular tools but written to survive framework churn. The end goal is a test suite that acts as living documentation while catching regressions quickly and deterministically. -
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ARWES
Futuristic Sci-Fi UI Web Framework
Arwes is a web framework to build user interfaces based on futuristic science fiction designs, animations, and sound effects. The concepts behind are opinionated with influences from Cyberprep and Synthwave, and productions like Star Citizen, Halo, and TRON: Legacy. It tries to inspire advanced space and alien technology. The playground application intends to show the project APIs in a live environment so the developer can test the main functionalities and components use cases in JavaScript (not available in TypeScript) for both development and production environments. ... -
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Network Instrument Workbench
Script driven framework for Prologix GPIB - Lan adapter & more
A layered set of functions to abstract the Prologix command set into an easy to use bash shell script format. To provide access to and control of electronic test equipment, initially for data logging applications. Functions to configure, send commands, data and status. Also to provides functionality for direct access to other network enabled equipment. Command line and makefile environment. Developed under FreeBSD, but built and tested without code change under Debian, XUbuntu and Devuan Linux. ... -
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FluentLenium
FluentLenium is a web & mobile automation framework
FluentLenium is a React-ready website automation framework that extends Selenium to write readable, reusable, reliable and resilient UI functional tests. It’s written and maintained by people who are automating browser-based tests on a daily basis. FluentLenium provides a Java-fluent interface to Selenium, and brings some magic to avoid common issues faced by Selenium users. FluentLenium is shipped with adapters for JUnit4, JUnit5, TestNG, Spock, Spring TestNG, Cucumber and Kotest, but it... -
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Opulence
A simple, secure, and scalable PHP application framework
Opulence is a PHP web application framework that simplifies the difficult parts of creating and maintaining a secure, scalable website. With Opulence, things like database management, caching, ORM, page templates, and routing are a cinch. It was written with customization, performance, and best practices in mind. Thanks to test-driven development (TDD), the framework is reliable and thoroughly tested. -
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MOS
multiple order statistics index
MOS-index addresses the important node identification issue from the perspective of the order statistics. Meanwhile, it provides a general framework for important node quantification, in which any existing centrality measures or topological features can be embedded in the order statistics for generating the final importance score. Implementation of MOS-index is available in Python 3.6 and R 3.6.3. Import the python code into Pycharm, and then load the network data to test. ... -
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SQLBucket
Lightweight library to write, orchestrate and test your SQL ETL
SQLBucket is a lightweight framework to help write, orchestrate and validate SQL data pipelines. It gives the possibility to set variables and introduces some control flow using the fantastic Jinja2 library. It also implements a very simplistic unit and integration test framework where you can validate the results of your ETL in the form of SQL checks. With SQLBucket, you can apply TDD principles when writing data pipelines. -
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Synth
The Declarative Data Generator
Synth is an open-source data-as-code tool that provides a simple CLI workflow for generating consistent data in a scalable way. Use Synth to generate correct, anonymized data that looks and quacks like production. Generate test data fixtures for your development, testing, and continuous integration. Generate data that tells the story you want to tell. Specify constraints, relations, and all your semantics. Seed development and environments and CI. Anonymize sensitive production data. Create...
