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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 (16) for "python framework"
65 Products for "python framework" with 1 filter applied:
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1
Chainer
Chainer
A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. ... -
2
Semantic Kernel
Microsoft
Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll...Starting Price: Free -
3
JarvisLabs.ai
JarvisLabs.ai
We have set up all the infrastructure, computing, and software (Cuda, Frameworks) required for you to train and deploy your favorite deep-learning models. You can spin up GPU/CPU-powered instances directly from your browser or automate it through our Python API.Starting Price: $1,440 per month -
4
pytest
pytest
pytest helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. Due to pytest’s detailed assertion introspection, only plain assert statements are used. Detailed info on failing assert statements. Auto-discovery of test modules and functions. Modular fixtures for managing small or parametrized long-lived test resources. -
5
Flotiq
Flotiq
...It supports websites, mobile apps, and IoT solutions with flexible tools and seamless integrations. Key Features: - API-First Design: Auto-generates RESTful APIs or GraphQL for fast integration with any framework or technology. - Flexible Content Modeling: Customizable data structures for various projects, from blogs to e-commerce. - Omnichannel Delivery: Deliver optimized content across websites, apps, and devices. - CDN Integration: Scalable and fast media delivery. - SDKs & Integrations: Ready-to-use tools for JavaScript, Python, and frameworks like Next.js and Gatsby...Starting Price: $0 -
6
Naptha
Naptha
...Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes. -
7
Boofuzz
Boofuzz
...Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast. Better recording of test data, consistent, thorough, and clear. Test result CSV export and extensible instrumentation/failure detection. Boofuzz installs as a Python library used to build fuzzer scripts. It is strongly recommended to set up Boofuzz in a virtual environment.Starting Price: Free -
8
Ajenti
Ajenti
An admin's tool for a more civilized age, providing you with a fast and secure way to manage a remote Linux box at any time using everyday tools like a web terminal, text editor, file manager and others. Ajenti Core is a streamlined and reusable framework for building web interfaces of all kinds. Includes lots of plugins for system and software configuration, monitoring and management. Ajenti won't damage your existing configuration or tell you how to do your job. Preserves config structure and comments. Easily extensible using Python. Plugin development is fast and pleasant with rich APIs. ... -
9
SaaSitive
SaaSitive
...The tutorial covers essential aspects of web application development, including frontend implementation with React and Redux in TypeScript, and backend development with Django and the Django Rest Framework in Python. It provides detailed instructions on user authentication processes such as login, logout, registration, email verification, and account management. Additionally, the course demonstrates how to integrate payment vendors like Paddle to accept monthly subscriptions, utilize Celery for background tasks related to data gathering, and implement data visualization on both private and public dashboards. ...Starting Price: $199 one-time payment -
10
OpenFGA
The Linux Foundation
OpenFGA is an open source authorization solution that enables developers to implement fine-grained access control using a user-friendly modeling language and APIs. Inspired by Google's Zanzibar paper, it supports various access control models, including Relationship-Based Access Control (ReBAC), Role-Based Access Control (RBAC), and Attribute-Based Access Control (ABAC). OpenFGA offers SDKs for multiple programming languages, such as Java, .NET, JavaScript, Go, and Python, facilitating...Starting Price: Free -
11
MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce... -
12
TF-Agents
Tensorflow
TensorFlow Agents (TF-Agents) is a comprehensive library designed for reinforcement learning in TensorFlow. It simplifies the design, implementation, and testing of new RL algorithms by providing well-tested modular components that can be modified and extended. TF-Agents enables fast code iteration with good test integration and benchmarking. It includes a variety of agents such as DQN, PPO, REINFORCE, SAC, and TD3, each with their respective networks and policies. It also offers tools for... -
13
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. -
14
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. ... -
15
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 -
16
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 -
17
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 -
18
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. -
19
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 -
20
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 -
21
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 -
22
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. ... -
23
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 -
24
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 -
25
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. -
26
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... -
27
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 -
28
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 -
29
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 -
30
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.
