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Test Automation Frameworks
Test automation frameworks are sets of tools, components, and practices that automate the process of testing software applications. These frameworks enable testers to write, execute, and manage test scripts for various types of software testing, including functional, regression, load, and performance testing. They often provide features such as reusable test scripts, integration with continuous integration/continuous deployment (CI/CD) tools, reporting, and test result tracking. Test automation frameworks help improve test efficiency, reduce manual errors, and speed up the overall testing process, especially in large and complex software environments.
Development Frameworks
Development frameworks are code libraries and development tools that streamline the development process for developers that build applications. Development frameworks simplify the process of programming in different languages. There are a variety of different types of development frameworks including web development frameworks, mobile app development frameworks, frontend and backend frameworks, and more.
Agentic Frameworks Software
Agentic frameworks are systems designed to build and manage autonomous or semi-autonomous artificial intelligence (AI) agents that can make decisions, interact with their environment, and perform tasks without constant human oversight. These frameworks provide the underlying structure for designing, training, and optimizing AI agents, enabling them to learn from experience, adapt to new situations, and make decisions based on predefined goals or objectives.
View more categories (15) for "python framework"
133 Products for "python framework"
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1
Viduli
Viduli
Viduli empowers developers to deploy production-ready applications in minutes without DevOps expertise. Supporting 40+ languages and frameworks—from Python and Node.js to Go, Ruby, Java, and beyond—our platform eliminates complex configurations and steep learning curves. Core Services: Ignite - Deploy any application with zero configuration. Features automatic CI/CD from GitHub, auto-scaling, load balancing, health checks, and multi-region deployment. Every push triggers instant deployment. ...Starting Price: $5/month -
2
Plexe AI
Plexe AI
...You connect your data or upload a dataset, then type your intent, such as “predict customer churn” or “recommend products based on purchase history”, and the system handles everything from preprocessing and feature engineering to model selection, evaluation, and deployment as an API endpoint. With seamless integrations into your existing infrastructure, provider-agnostic support for different LLMs and frameworks, and an open source Python SDK for deeper control, Plexe AI significantly reduces the time and complexity of turning raw data into production-ready ML applications. Trusted by early adopters, the platform is designed to democratize machine learning development and accelerate value from data. -
3
CanvasJS Charts
Fenopix Technologies
JavaScript Charting Library with 10x better performance & a simple API. You can easily integrate our JS Charts with popular Frameworks like React, Angular, Vue, etc. The library comes with 30+ chart types including line, column, bar, area, pie, doughnut, stacked, etc. Graphs support various interactive features like tooltips, zooming, panning, animation, events, drill-down, exporting and can easily be integrated with various server-side technologies like PHP, Ruby, Python, ASP.Net, Node.JS, Java, etc. ... -
4
Azure Blob Storage
Microsoft
...Blob storage is built from the ground up to support the scale, security, and availability needs of mobile, web, and cloud-native application developers. Use it as a cornerstone for serverless architectures such as Azure Functions. Blob storage supports the most popular development frameworks, including Java, .NET, Python, and Node.js, and is the only cloud storage service that offers a premium, SSD-based object storage tier for low-latency and interactive scenarios.Starting Price: $0.00099 -
5
Intel oneAPI HPC Toolkit
Intel
...The Intel® oneAPI HPC Toolkit (HPC Kit) delivers what developers need to build, analyze, optimize, and scale HPC applications with the latest techniques in vectorization, multithreading, multi-node parallelization, and memory optimization. This toolkit is an add-on to the Intel® oneAPI Base Toolkit, which is required for full functionality. It also includes access to the Intel® Distribution for Python*, the Intel® oneAPI DPC++/C++ C¿compiler, powerful data-centric libraries, and advanced analysis tools. Get what you need to build, test, and optimize your oneAPI projects for free. With an Intel® Developer Cloud account, you get 120 days of access to the latest Intel® hardware, CPUs, GPUs, FPGAs, and Intel oneAPI tools and frameworks. ... -
6
Robocorp
Robocorp
...Our programmable approach leverages a powerful open-source ecosystem of libraries and keywords that provides you the flexibility to build automation that you can count on. Our RPA framework automation stack is built on top of Python. Now developers are able to quickly build, integrate, deploy, analyze, and maintain complex automation with Robocorp. Monitor, manage, and visualize your automation in a single pane of glass.Starting Price: $100 per month -
7
NVIDIA Brev
NVIDIA
...Users can create Launchables by specifying GPU resources, Docker images, and project files, then share them easily with collaborators. The platform also offers prebuilt Launchables featuring the latest AI frameworks, microservices, and NVIDIA Blueprints to jumpstart development. NVIDIA Brev provides a seamless GPU sandbox with support for CUDA, Python, and Jupyter Lab accessible via browser or CLI. This enables developers to fine-tune, train, and deploy AI models with minimal friction and maximum flexibility.Starting Price: $0.04 per hour -
8
CodePal
CodePal.ai
...AI Code Generators are very useful for learning, as they can give a good grasp of how the task at hand should be written in code. Code generation can be used with many different programming languages, including Java, C#, Python, and TypeScript, among others. The choice of programming language will often depend on the specific needs of the project, as well as the availability of code generation tools and frameworks for that language.Starting Price: $15 per month -
9
Literal AI
Literal AI
...Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications. -
10
SaaS Forge
SaaS Forge
SaaS Forge is an open-source boilerplate designed to expedite the development of SaaS applications by providing a modular, ready-to-use codebase. It utilizes Python for the backend and ReactJS for the front end, incorporating JWT authentication, a RESTful API, and a database ORM integrated with PostgreSQL. The front end features a responsive design based on Bootstrap 4, with pre-built components such as login, registration, email confirmation pages, a single-page application dashboard,...Starting Price: $239 one-time payment -
11
HyperSaaS
HyperSaaS
...The front end utilizes React 18 and Next.js 14 with the app router, employing TypeScript and Zod for type safety, and Tailwind CSS for rapid, responsive design. Server-side rendering enhances SEO and improves initial page load performance. The backend is built with Python 3.11, Django, and Django REST Framework, providing a robust and secure API suitable for complex web applications. HyperSaaS includes secure user authentication managed by NextAuth, seamless Stripe integration for subscription payments, and multi-tenancy with workspaces, enabling efficient team management and data security. The development environment is streamlined with Docker and Docker Compose, ensuring consistency across multiple environments.Starting Price: $129 one-time payment -
12
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
13
Dendrite
Dendrite
Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. ... -
14
Alumnium
Alumnium
...It integrates seamlessly with popular web automation tools like Selenium and Playwright, allowing software and test engineers to accelerate browser test creation without sacrificing precision or control. Alumnium supports any Python test framework and leverages large language models (LLMs) from providers such as Anthropic, Google Gemini, OpenAI, and Meta Llama to interpret instructions and generate browser interactions. Users can write test cases using simple commands: do to describe steps, check to verify results, and get to extract data from the page. Alumnium utilizes the web page's accessibility tree and, if needed, screenshots to execute tests, ensuring compatibility with various web applications.Starting Price: Free -
15
DeerFlow
Bytedance
DeerFlow is a community-driven deep research framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible. DeerFlow's multi-agent architecture lets agents work together, share tasks, and solve complex problems.Starting Price: Free -
16
Imagine Robotify
Imagine Learning
...It introduces game-based learning, allowing students to participate in competitions that reinforce their coding skills. Imagine Robotify supports both block-based coding (Blockly) and Python, catering to various skill levels. -
17
c/ua
c/ua
c/ua is a platform that runs secure AI agents, optimized for Apple Silicon. It removes the need for virtual machine setup, enabling near-native macOS and Linux environments. Features include configurable VM resources, AI system integration, and automation via a computer-user interface. It supports multi-model workflows and cross-OS desktop automation. c/ua also allows easy sharing and distribution of VM images for collaboration. c/ua enables AI agents to control full operating systems in...Starting Price: Free -
18
Golf
Golf
GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing.Starting Price: Free -
19
Pulumi
Pulumi
...Secrets management. Keep secrets safe with easy, built-in encrypted configuration. Familiar programming languages. Define infrastructure in JavaScript, TypeScript, Python, Go, or any .NET language, including C#, F#, and VB. Your favorite tools. Use familiar IDEs, test frameworks, and tools. Share and reuse. Codify best practices and policies. -
20
Mayan EDMS
Mayan EDMS
...Integrates with your existing for no initial investment and low total cost of ownership. Mayan EDMS is a Free Open Source Electronic Document Management System, coded in the Python language using the Django web application framework and released under the Apache 2.0 License. It provides an electronic vault or repository for electronic documents. One install, many devices. Mayan EDMS uses responsive design to adjust to different screen sizes and device capabilities, from smartphones and tables to desktop. Store many versions of the same document, download or revert to a previous version. ...Starting Price: Free -
21
Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. -
22
MXNet
The Apache Software Foundation
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and... -
23
Koyeb
Koyeb
...Build Docker containers, host them on any registry, and atomically deploy your new version worldwide in a single API call. Invite your team to build together and enjoy a live preview after each push with built-in CI/CD. The Koyeb platform lets you combine the languages, frameworks, and technologies you use. Deploy any application without modifications thanks to native support of popular languages and Docker containers. Koyeb detects and builds apps in Node.js, Python, Go, Ruby, Java, PHP, Scala, Clojure, and more.Starting Price: $2.7 per month -
24
Lunary
Lunary
...It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. ...Starting Price: $20 per month -
25
REST United
REST United
...For those designing their own REST APIs using frameworks like Node.js, Ruby Sinatra, Scala Scalatra, or Java JAX-RS, REST United offers assistance in generating server-side code. Support is readily available, with the promise of responses within 12 hours to any inquiries. Overall, REST United aims to make REST API development more accessible and efficient by providing tools that bridge the gap between API design and implementation.Starting Price: $1 per month -
26
MindSpore
MindSpore
MindSpore is an open source deep learning framework developed by Huawei, designed to facilitate easy development, efficient execution, and deployment across cloud, edge, and device environments. It supports multiple programming paradigms, including both object-oriented and functional programming, allowing users to define AI networks using native Python syntax. MindSpore offers a unified programming experience that seamlessly integrates dynamic and static graphs, enhancing compatibility and performance. ...Starting Price: Free -
27
Roost.ai
Roost.ai
...It integrates seamlessly with existing DevOps tools such as GitHub, GitLab, Bitbucket, Azure DevOps, Terraform, and CloudFormation, enabling automated test updates in response to code changes and pull requests. Roost.ai supports multiple programming languages, including Java, Go, Python, Node.js, and C#, and can generate tests for various frameworks like JUnit, TestNG, pytest, and Go's standard testing package. It also facilitates the creation of ephemeral test environments on demand, streamlining acceptance testing and reducing the time and resources required for quality assurance. By automating repetitive testing tasks and enhancing test coverage, Roost.ai empowers development teams to focus on innovation and accelerate release cycles. -
28
GIMP
GIMP
...From retouching to restoring to creative composites, the only limit is your imagination. GIMP is used for producing icons, graphical design elements, and art for user interface components and mockups. GIMP is a high quality framework for scripted image manipulation, with multi-language support such as C, C++, Perl, Python, Scheme, and more!Starting Price: Free -
29
Azure App Service
Microsoft
Quickly build, deploy, and scale web apps and APIs on your terms. Work with .NET, .NET Core, Node.js, Java, Python or PHP, in containers or running on Windows or Linux. Meet rigorous, enterprise-grade performance, security and compliance requirements used a trusted, fully managed platform that handles over 40 billion requests per day. Fully managed platform with built-in infrastructure maintenance, security patching, and scaling. Built-in CI/CD integration and zero-downtime deployments. ...Starting Price: $0.013 per hour -
30
Falkon
Falkon
...Above that, it has by default enabled blocking ads with a built-in AdBlock plugin. The very first version of QupZilla has been released in December 2010 and it was written in Python with PyQt4 bindings. After a few versions, QupZilla has been completely rewritten in C++ with the Qt Framework. First public release was 1.0.0-b4. Until version 2.0, QupZilla was using QtWebKit. QtWebKit is now deprecated and new versions are using QtWebEngine. Since version 3.0, QupZilla is no longer developed and new version are released with Falkon name.
