Business Software for Python - Page 20

Top Software that integrates with Python as of July 2025 - Page 20

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  • 1
    Swarm

    Swarm

    OpenAI

    ​Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.
    Starting Price: Free
  • 2
    OpenAI Agents SDK
    ​The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.
    Starting Price: Free
  • 3
    Valkey

    Valkey

    Valkey

    ​Valkey is an open source high-performance key/value datastore that supports a variety of workloads, such as caching, message queues, and can act as a primary database. It is backed by the Linux Foundation, ensuring it will remain open source forever. Valkey can run as either a standalone daemon or in a cluster, with options for replication and high availability. It natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more. You can operate on data structures in-place with an expressive collection of commands. Valkey also supports native extensibility with built-in scripting support for Lua and supports module plugins to create new commands, data types, and more. Valkey 8.1 introduces several performance improvements that reduce latency, increase throughput, and lower memory usage.
    Starting Price: Free
  • 4
    Grok Studio
    Grok Studio, now featuring code execution and Google Drive support, offers users a collaborative environment for creating and managing various types of content. This new version allows Grok to generate code, reports, documents, and even browser games, with a seamless experience for both users and Grok to work together on content. Users can now preview and run code in multiple languages such as HTML, Python, C++, JavaScript, TypeScript, and Bash, directly in a separate preview window. Additionally, Grok now integrates with Google Drive, allowing users to attach and work with documents, spreadsheets, and slides, streamlining workflows and enhancing content creation.
    Starting Price: Free
  • 5
    IPLocate

    IPLocate

    IPLocate

    IPLocate (iplocate.io) is a comprehensive IP address data and geolocation API designed for developers. It provides accurate and reliable information about IP addresses, including geolocation data, threat and privacy detection, company and ASN details, and hosting provider information. IPLocate's comprehensive data and features enable developers to build revolutionary products, personalize website content, prevent fraud and free trial abuse, enforce compliance, and apply geographic restrictions with ease.
    Starting Price: Free up to 1,000 requests/day
  • 6
    Qwen3

    Qwen3

    Alibaba

    Qwen3, the latest iteration of the Qwen family of large language models, introduces groundbreaking features that enhance performance across coding, math, and general capabilities. With models like the Qwen3-235B-A22B and Qwen3-30B-A3B, Qwen3 achieves impressive results compared to top-tier models, thanks to its hybrid thinking modes that allow users to control the balance between deep reasoning and quick responses. The platform supports 119 languages and dialects, making it an ideal choice for global applications. Its pre-training process, which uses 36 trillion tokens, enables robust performance, and advanced reinforcement learning (RL) techniques continue to refine its capabilities. Available on platforms like Hugging Face and ModelScope, Qwen3 offers a powerful tool for developers and researchers working in diverse fields.
    Starting Price: Free
  • 7
    Flower

    Flower

    Flower

    Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.
    Starting Price: Free
  • 8
    ai|coustics

    ai|coustics

    ai|coustics

    ai|coustics is an AI-driven platform designed to enhance audio and video recordings by improving speech clarity and eliminating background noise. It offers a user-friendly web application where individuals can upload files for enhancement, as well as an API and SDK for developers to integrate real-time audio processing into their hardware and software solutions. It utilizes two primary AI models, Finch, which focuses on robust noise removal, and Lark, which restores lost frequencies and adds depth for studio-quality sound. ai|coustics supports over 40 file formats, including MP3, MP4, WAV, and MOV, and provides batch processing capabilities for efficient workflow management. It is utilized by over 500,000 users globally, including industry leaders like BosePark, Bayerischer Rundfunk, and Sieve. It is particularly beneficial for podcasters, content creators, educators, and developers seeking to deliver high-quality audio experiences across various platforms.
    Starting Price: €2 per month
  • 9
    Alumnium

    Alumnium

    Alumnium

    Alumnium is an open source AI-powered test automation tool that bridges the gap between human and automated testing by translating plain-language test instructions into executable browser commands. 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
  • 10
    DeepSeek-VL

    DeepSeek-VL

    DeepSeek

    DeepSeek-VL is an open source Vision-Language (VL) model designed for real-world vision and language understanding applications. Our approach is structured around three key dimensions: We strive to ensure our data is diverse, scalable, and extensively covers real-world scenarios, including web screenshots, PDFs, OCR, charts, and knowledge-based content, aiming for a comprehensive representation of practical contexts. Further, we create a use case taxonomy from real user scenarios and construct an instruction tuning dataset accordingly. The fine-tuning with this dataset substantially improves the model's user experience in practical applications. Considering efficiency and the demands of most real-world scenarios, DeepSeek-VL incorporates a hybrid vision encoder that efficiently processes high-resolution images (1024 x 1024), while maintaining a relatively low computational overhead.
    Starting Price: Free
  • 11
    VoltAgent

    VoltAgent

    VoltAgent

    VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.
    Starting Price: Free
  • 12
    DeerFlow

    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. This makes DeerFlow ideal for automated research and advanced AI workflows, ensuring reliability and scalability. Experience the agent teamwork with our supervisor + handoffs design pattern. DeerFlow helps you solve real research and automation challenges. With DeerFlow, you can build smart workflows using multi-agent collaboration and advanced search. DeerFlow is not just a research tool, it's a platform for building next-generation AI applications.
    Starting Price: Free
  • 13
    smallest.ai

    smallest.ai

    smallest.ai

    Smallest.ai is a real-time AI platform designed to deliver hyper-personalized voice experiences with minimal latency and high scalability. Its flagship products, Waves and Atoms, enable users to generate human-like AI voices and deploy real-time AI agents for customer interactions. Waves offers ultra-realistic text-to-speech capabilities, supporting over 30 languages and 100 accents, with sub-100ms API latency for instant voice generation. It also features instant voice cloning, allowing users to replicate any voice with just a 5-second audio sample, making it ideal for personalized branding and content creation. Atoms provides AI agents capable of handling customer calls, offering seamless, natural-sounding conversations without human intervention. Both products are designed for easy integration, offering scalable APIs and Python SDKs to facilitate deployment across various platforms.
    Starting Price: $5 per month
  • 14
    c/ua

    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 high-performance virtual containers with near-native speed on Apple Silicon. It supports agent loops such as UITARS-1.5, OpenAI, Anthropic, and OmniParser-v2.0. For developers, c/ua provides tools like Lume CLI for VM management, Python SDKs for agent development, and example code for direct control of macOS VMs.
    Starting Price: Free
  • 15
    Open Interpreter

    Open Interpreter

    Open Interpreter

    Open Interpreter is an open source natural language interface for computers that enables users to execute code through conversational prompts in a terminal environment. It supports multiple programming languages, including Python, JavaScript, and Shell, allowing for a wide range of tasks such as data analysis, file management, and web browsing. It provides interactive mode commands to enhance user experience. Users can configure default behaviors using YAML files, facilitating flexible customization without altering command-line arguments each time. Open Interpreter can be integrated with FastAPI to create RESTful endpoints, enabling programmatic control over its functionalities. For safety, it prompts users for confirmation before executing code that interacts with the local environment, mitigating potential risks.
    Starting Price: Free
  • 16
    AgentSea

    AgentSea

    AgentSea

    AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.
    Starting Price: Free
  • 17
    Kandio

    Kandio

    Kandio

    Kandio is an online assessment platform designed to help companies build stronger tech teams by implementing FAANG-style interviews. It offers hiring tests written by the top 0.1% of experts globally, enabling organizations to make data-driven decisions and avoid hiring bias. With Kandio, you can invite candidates in seconds and see test results populate, allowing you to assess candidates, employees, agencies, or freelancers across various domains such as programming, digital marketing, and database management. It provides a broad catalog of tests that can be used standalone or combined, giving you the flexibility to tailor assessments to your specific needs. Kandio also offers features like educational plans to base future internal educational roadmaps on the actual skills of your team, salary negotiations that make skills a central factor, and the ability to increase team spirit by ensuring more qualified people on your team.
    Starting Price: $99 per month
  • 18
    Convex

    Convex

    Convex

    Convex is an open source, reactive backend platform that enables developers to build full-stack applications entirely in TypeScript. It offers a document-relational database where queries and mutations are written in TypeScript, ensuring end-to-end type safety and seamless integration with frontend code. Convex's libraries maintain real-time synchronization between the frontend, backend, and database state without the need for manual state management, cache invalidation, or WebSockets. It includes built-in support for cloud functions, scheduling, authentication, file storage, and a variety of components that can be added with a simple npm i command. Developers can define their entire backend, including database schemas, queries, and APIs, in code, which is typechecked and autocompleted, and can be generated by AI with high accuracy. Convex's architecture ensures that all transactions are serializable, providing strong consistency guarantees and eliminating race conditions.
    Starting Price: $25 per month
  • 19
    SCAPE CoCreator

    SCAPE CoCreator

    SCAPE Technologies

    SCAPE CoCreator is a no-code robotic automation platform that empowers users to build, simulate, and deploy robotic workflows without programming expertise. It seamlessly integrates hardware and software within a user-friendly environment, enabling the creation of robotic applications powered by 3D vision and AI. Users can test and validate solutions in a digital twin environment and on actual hardware, significantly reducing development time and costs, up to 95% compared to traditional methods. It supports effortless integration with 3D scanners conforming to the GenICam standard, ensuring smooth communication and operation. With support for Python and C++, CoCreator allows for the development of custom solutions tailored to specific tasks. Its intuitive interface enables users to create robotic applications without any coding, making it accessible to users of all skill levels.
    Starting Price: Free
  • 20
    ZZZ Code AI

    ZZZ Code AI

    ZZZ Code AI

    ZZZ Code AI is an AI-powered coding assistant designed to support developers across various programming tasks. It offers a suite of tools, including AI Code Generator, AI Bug Detector, AI Code Explainer, AI Code Refactor, AI Code Review, AI Code Converter, and AI Code Documentation. It supports multiple programming languages such as Python, C#, C++, Java, JavaScript, HTML, CSS, SQL, and Excel formulas. Users can input their coding requirements or questions, and the AI provides instant responses, code snippets, explanations, or conversions as needed. Specialized tools are available for specific languages and frameworks, including Dapper and Entity Framework Core. It is accessible online without the need for account creation, although character limits apply to prevent abuse. ZZZ Code AI aims to enhance productivity and reduce errors for both novice and experienced developers by automating routine coding tasks and providing immediate assistance.
    Starting Price: Free
  • 21
    Agent Squad
    Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad supports both streaming and non-streaming responses from different agents, ensuring flexible agent responses. It maintains and utilizes conversation context across multiple agents for coherent interactions. The architecture is extensible, allowing easy integration of new agents or customization of existing ones to fit specific needs. Agent Squad can be deployed universally, running anywhere from AWS Lambda to local environments or any cloud platform.
    Starting Price: Free
  • 22
    Strands Agents

    Strands Agents

    Strands Agents

    Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.
    Starting Price: Free
  • 23
    Promethium

    Promethium

    Promethium

    Promethium is a GPU-powered chemistry simulation platform designed to accelerate drug and materials development by enabling faster and more accurate quantum chemistry calculations. Built from the ground up for NVIDIA datacenter GPUs like A100, it employs novel QC Ware streaming algorithms to achieve unprecedented computational speed and high throughput-to-power consumption ratios. It supports density functional theory calculations on systems with up to 2,000 atoms, allowing simulations of large molecular systems that are not feasible with legacy CPU-powered ab initio codes. For instance, a single-point calculation of a 2,056-atom protein can be completed in 14 hours on a single GPU. Promethium offers a range of capabilities, including single-point energy calculations, geometry optimization, conformer search, torsion scan, reaction path optimization, transition state optimization, interaction energy computations, and relaxed potential energy surface scans.
    Starting Price: $30 per hour
  • 24
    Nomic Embed
    Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.
    Starting Price: Free
  • 25
    RankLLM

    RankLLM

    Castorini

    RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.
    Starting Price: Free
  • 26
    RankGPT

    RankGPT

    Weiwei Sun

    RankGPT is a Python toolkit designed to explore the use of generative Large Language Models (LLMs) like ChatGPT and GPT-4 for relevance ranking in Information Retrieval (IR). It introduces methods such as instructional permutation generation and a sliding window strategy to enable LLMs to effectively rerank documents. It supports various LLMs, including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM. RankGPT provides modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. It includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs. RankGPT's Model Zoo includes models like LiT5 and MonoT5, hosted on Hugging Face.
    Starting Price: Free
  • 27
    Codespy

    Codespy

    Codespy

    Codespy AI Detector is a powerful tool designed to identify AI-generated code within software projects quickly and accurately. It supports popular programming languages such as Java, Python, JavaScript, C++, C#, and PHP. The platform helps developers find AI-written code from models like ChatGPT, Gemini, and Claude, which can introduce bugs or unexpected errors. Codespy integrates seamlessly with common development environments like Visual Studio Code and is available as a ChatGPT plugin. Its technology enables teams to create processes and guardrails around AI code usage to reduce risk and improve code quality. With simple pricing plans and no credit card required for the free tier, Codespy is accessible to individuals and businesses of all sizes.
    Starting Price: $27.98/month
  • 28
    NiceGUI

    NiceGUI

    NiceGUI

    NiceGUI is an open source Python library that enables developers to create web-based graphical user interfaces (GUIs) using only Python code. It provides a gentle learning curve while still offering the option for advanced customizations. NiceGUI follows a backend-first philosophy: it handles all the web development details, allowing developers to focus on writing Python code. This makes it ideal for a wide range of projects, including short scripts, dashboards, robotics projects, IoT solutions, smart home automation, and machine learning. The framework is built on FastAPI for backend operations, Vue.js for frontend interaction, and Tailwind CSS for styling. Developers can create buttons, dialogs, Markdown, 3D scenes, plots, and more, all within a Python environment. NiceGUI supports real-time interactivity through WebSocket connections, enabling instant updates in the browser without page reloads. It offers a variety of components and layout options, such as rows, columns, etc.
    Starting Price: Free
  • 29
    Reflex

    Reflex

    Pynecone

    Reflex is an open source framework that empowers Python developers to build full-stack web applications entirely in pure Python, eliminating the need for JavaScript or complex frontend frameworks. With Reflex, you can write, test, and refine your app using just Python, making it fast, flexible, and scalable. It features an AI Builder that allows you to describe your app idea, and it will generate a working Python app instantly, complete with backend, frontend, and database integration. Reflex's architecture compiles the frontend down to a single-page Next.js app, while the backend is powered by FastAPI, with communication handled via WebSockets. This setup ensures that all the app logic and state management stay in Python and run on the server. The framework offers over 60 built-in components based on Radix UI and supports custom React components, enabling developers to create complex UIs without writing HTML or CSS.
    Starting Price: $20 per month
  • 30
    Rio

    Rio

    Rio

    Rio is an open source Python framework that enables developers to build modern web and desktop applications entirely in Python. Inspired by frameworks like React and Flutter, Rio introduces a declarative UI model where components are defined as Python data classes with a build() method, allowing for reactive state management and seamless UI updates. It includes over 50 built-in components adhering to Google's Material Design, facilitating the creation of professional-grade interfaces. Rio's layout system is Pythonic and intuitive, calculating each component's natural size before distributing available space, eliminating the need for traditional CSS. Developers can run applications locally or in the browser with the backend powered by FastAPI and communication handled via WebSockets.
    Starting Price: Free