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CAD Libraries
CAD libraries are collections of pre-made design elements, components, or templates that can be used in CAD software to speed up the design process. These libraries typically include 2D and 3D models, parts, symbols, and standards that can be easily integrated into drawings or designs. CAD libraries help engineers, architects, and designers quickly access commonly used objects, materials, and components, improving efficiency and ensuring consistency across projects. They are used in various industries such as manufacturing, architecture, and construction, where standardization and accuracy are crucial.
Architectural CAD Software
Architectural CAD software enables architects, engineers, and designers to create detailed digital drawings, plans, and models of buildings and structures. It offers tools for drafting, 2D and 3D modeling, rendering, and documentation to support the design and construction process. The software often includes features for collaboration, version control, and integration with building information modeling systems to improve accuracy and workflow efficiency. By automating repetitive tasks and providing precise measurement tools, architectural CAD software helps reduce errors and accelerate project delivery. Ultimately, it empowers professionals to visualize, plan, and communicate architectural concepts effectively.
CAD Viewers
CAD viewers are software tools that enable users to open, view, and interact with CAD (Computer-Aided Design) files without requiring full CAD software for editing or creating designs. These viewers allow users to view 2D and 3D drawings, blueprints, and models in various CAD formats, such as DWG, DXF, or STEP, and often provide features like zooming, rotating, and panning. CAD viewers are commonly used in industries such as engineering, architecture, and manufacturing to review designs, collaborate on projects, and share files with stakeholders. Some CAD viewers also offer markup and annotation tools for commenting on designs.
CAD Software
Computer-Aided Design (CAD) software is software used by engineers, architects, and designers to create precise 2D and 3D models. It enables users to design, visualize, and simulate their projects with high accuracy, facilitating efficient prototyping and problem-solving. CAD software supports a variety of industries, including manufacturing, construction, and product design, by offering features like parametric modeling, rendering, and automated drafting. Its intuitive interfaces and integration with other engineering tools make it a cornerstone of modern design workflows. By streamlining the design process, CAD software helps reduce development time, improve collaboration, and bring innovative ideas to life.
Electrical CAD Software
Electrical CAD (Computer-Aided Design) software is a specialized tool used for designing and documenting electrical systems. It enables engineers and designers to create detailed schematics, wiring diagrams, panel layouts, and 3D models of electrical circuits and components. These programs streamline workflows with features like automated wire routing, error-checking, and symbol libraries for standard electrical components.
CAD Data Exchange Software
CAD data exchange software is a type of program designed to facilitate the integration of 3D models between different programs. The software can transfer information like textures, lights and other attributes from one program to another. It can also convert CAD files into a format that is compatible with various platforms, allowing for collaboration between users and teams. Common features include support for multiple file formats, batch processing capabilities, and enhanced viewing options.
Computer Aided Dispatch Software
Computer-aided dispatch (CAD) software helps emergency response teams manage and coordinate the dispatch of resources, such as police, fire, and medical services, during incidents. It provides a centralized platform for call-taking, tracking units in real time, and assigning the closest and most appropriate responders to emergencies. The software often includes features like automated mapping, communication tools, and status updates to ensure efficient coordination and rapid response. By streamlining communication and resource allocation, CAD software helps reduce response times, improve situational awareness, and enhance overall emergency management. Ultimately, it ensures that emergency services can respond quickly and effectively, improving safety and outcomes for communities.
Engineering Software
Engineering software is software used by engineers to design, analyze and manufacture various products. It includes a wide range of applications such as CAD/CAE software, analysis tools, optimization tools, and programming tools. Engineering software can be used for a variety of tasks such as designing mechanical parts, analyzing structural stability, simulating system performance, and optimizing product designs. These applications enable engineers to optimize their designs for cost reduction and increased efficiency.
Electrical Design Software
Electrical design software is a specialized CAD (Computer-Aided Design) tool used to create, visualize, and document electrical systems for buildings, machinery, and industrial equipment. It enables engineers to develop detailed wiring diagrams, circuit layouts, and control panel designs with precision. The software includes features like load analysis, error detection, and compliance checks to ensure systems meet safety and regulatory standards. By automating repetitive tasks and supporting design revisions, it boosts efficiency and reduces the likelihood of costly errors. Electrical design software is essential in industries like construction, manufacturing, and automation, where accurate electrical planning is critical.
Mechanical Engineering Software
Mechanical engineering software enables mechanical engineers to design products with detailed accuracy and specifications for the manufacturing and engineering processes. Mechanical engineering software, also known as mechanical CAD (MCAD) or mechanical design automation (MDA), streamlines all aspects of the mechanical engineering and product design process of structures and mechanical parts and products.
Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
DRaaS Software
DRaaS providers allow businesses to back up their data and IT infrastructure through a third party cloud environment in case of a potential data-loss event.
CNC Software
CNC software is used to program and run CNC machines. It is designed to control the motion of the machine, as well as its cutting speeds, feed rates and other variables. The main components of a CNC control system are a computer numerical control (CNC) unit, a CNC controller program and an interface for manual data entry. Depending on the complexity of the machine, CNC programming can require knowledge in mathematics, geometry and trigonometry.
Packaging Software
Packaging software is software that enables businesses to create, manage, and optimize the packaging process for products. These tools assist in designing packaging, automating workflows, managing inventory, and ensuring compliance with regulations related to labeling and packaging standards. Packaging software typically includes features such as 3D modeling, artwork management, barcode generation, and packaging material optimization. It is widely used in industries like manufacturing, retail, food and beverage, and logistics to improve packaging efficiency, reduce costs, and enhance the consumer experience through attractive and functional packaging.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Product Design Software
Product design software enables product designers to streamline and manage all aspects of the product design process. Product design software allows users to create, simulate, conceptualize, analyze, and produce product designs.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
Product Data Management Software
Product data management (PDM) software is software designed to organize, manage, and track product-related data throughout its lifecycle. It provides a centralized repository for product designs, specifications, documents, and metadata, ensuring easy access and collaboration among team members. PDM software helps streamline version control, preventing errors caused by outdated or conflicting files. It integrates with design tools like CAD software, enabling seamless updates and traceability of changes. By improving data accuracy and workflow efficiency, PDM software supports better decision-making and faster time-to-market for products.
PCB Design Software
PCB design software is software used for designing and laying out circuit boards. It allows users to quickly create and modify electrical components, as well as simulate potential designs. In addition, the software can be used to generate models and images of PCBs that can be shared with colleagues or printed for physical hardware manufacture. PCB design software offers an intuitive graphical user interface which makes it easy to learn even for non-technical users. Some of the features include auto-routers, track editing tools, control over component placement, 3D visualizations, and fabrication output formats.
View more categories (20) for "python cad"
  • 1
    Polsinelli PatentCAD
    Polsinelli PatentCAD is a patent-approved AI software tool for visually creating patent applications based on method or apparatus claims. PatentCAD processes the claims and composes sentences from the claims and application drafters visually arrange the claims into a written description. Our novel user interface can handle complex claims such as mutually exclusive embodiments, alternative conditions, and optional steps.
  • 2
    Teradata VantageCloud
    ...Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
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  • 3
    Ray

    Ray

    Anyscale

    Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries.
    Starting Price: Free
  • 4
    Pathway

    Pathway

    Pathway

    Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively.
  • 5
    Pillow

    Pillow

    Pillow

    The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
    Starting Price: Free
  • 6
    Codeflash

    Codeflash

    Codeflash

    Codeflash is an AI-powered tool that automatically identifies and applies performance optimizations to Python code, discovering improvements across entire projects or within GitHub pull requests, enabling faster execution without sacrificing feature development. With simple installation and initialization, it has delivered dramatic speedups. Trusted by engineering teams at organizations, Codeflash has helped achieve outcomes such as 25% faster object detection (boosting Roboflow's throughput from 80 to 100 FPS), tens of merged pull requests delivering speedups in Albumentations, and ensured confidence in merging optimized code in Pydantic’s 300M+ download codebase. ...
    Starting Price: $30 per month
  • 7
    NVIDIA RAPIDS
    ...Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
  • 8
    Semantic Kernel
    ...Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.
    Starting Price: Free
  • 9
    Indigo DRS Data Reporting Systems

    Indigo DRS Data Reporting Systems

    Indigo Scape DRS Data Reporting Systems

    Indigo Scape DRS is an advanced Data Reporting and Document Generation System for Rapid Report Development (RRD) using HTML, XML, XSLT, XQuery and Python to generate highly compatible and content rich business reports and documents with HTML. Representing the ultimate in reporting software our advanced technology and reusable reporting system is a powerhouse in data reporting. Indigo DRS is totally unique in its ability to query in XQuery, Python and SQL and use data from multiple different sources and types simultaneously making it the only choice for demanding business, financial, scientific and engineering reporting. ...
    Starting Price: $500 per month / user
  • 10
    DataMelt

    DataMelt

    jWork.ORG

    ...Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
    Starting Price: $0
  • 11
    FacePlugin

    FacePlugin

    FacePlugin

    ...SDKs we offer - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint recognition SDK (Server) Programming languages: Python, Swift, Object C, Java, Kotlin, Flutter We provide free integration support.
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    Starting Price: $0
  • 12
    Fabi.ai

    Fabi.ai

    Fabi.ai

    Fabi.ai is an AI-powered, collaborative data analysis platform. It helps data teams turn data into insights thanks to a seamless integration between SQL, Python, AI and no-code. From Fabi.ai, data teams can build and share interactive dashboards and reports, data apps, or lightweight data pipelines, pushing insights to Google Sheets and Slack.
    Starting Price: $199/month
  • 13
    CapMonster Cloud

    CapMonster Cloud

    CapMonster Cloud

    ...CapMonster Cloud specializes in resolving a wide range of CAPTCHA types, including reCAPTCHA v2, reCAPTCHA v3, hCaptcha, Cloudflare captcha, and Geetest, among others. CapMonster Cloud API is easy to integrate into any program due to ready-made libraries with code examples (C#, Python, JS, GO, PHP). If there is no integration of your program with CapMonster Cloud the API of other services is also supported. The browser extension automatically solves captchas in the background mode of Chrome/Firefox browser. Install it and forget about captchas.
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    Starting Price: $0.04 per image
  • 14
    MLlib

    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 implementations. ...
  • 15
    TF-Agents

    TF-Agents

    Tensorflow

    ...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 building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole.
  • 16
    gpt-oss-120b
    gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. ...
  • 17
    NVIDIA Brev
    ...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
  • 18
    AutoRest

    AutoRest

    Microsoft

    ...Input to AutoRest is a spec that describes the REST API using the OpenAPI specification format and streamlines the creation of client code across multiple programming languages, including C#, Java, Python, TypeScript, and Go. This automation enhances consistency and efficiency in API consumption, reducing the manual effort required to develop and maintain client libraries. AutoRest operates through a flexible pipeline that processes OpenAPI input files, transforming them into a code model which is then utilized by language-specific generators to produce client code adhering to each language's design guidelines. ...
    Starting Price: Free
  • 19
    NVIDIA TensorRT
    ...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
  • 20
    Artelys Knitro
    ...Key features of Knitro encompass parallel multi-start capabilities for global optimization, automatic and parallel tuning of option settings, and smart initialization strategies for rapid infeasibility detection. The solver supports various interfaces, including object-oriented APIs for C++, C#, Java, and Python.
  • 21
    NVIDIA DeepStream SDK
    ...DeepStream is integral to NVIDIA Metropolis, a platform for building end-to-end services that transform pixel and sensor data into actionable insights. The SDK offers a powerful and flexible environment suitable for a wide range of industries, supporting multiple programming options such as C/C++, Python, and Graph Composer's intuitive UI. It allows for real-time insights by understanding rich, multi-modal sensor data at the edge and supports managed AI services through deployment in cloud-native containers orchestrated with Kubernetes.
  • 22
    LiteRT

    LiteRT

    Google

    ...Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.
    Starting Price: Free
  • 23
    gpt-oss-20b
    gpt-oss-20b is a 20-billion-parameter, text-only reasoning model released under the Apache 2.0 license and governed by OpenAI’s gpt-oss usage policy, built to enable seamless integration into custom AI workflows via the Responses API without reliance on proprietary infrastructure. Trained for robust instruction following, it supports adjustable reasoning effort, full chain-of-thought outputs, and native tool use (including web search and Python execution), producing structured, explainable answers. Developers must implement their own deployment safeguards, such as input filtering, output monitoring, and usage policies, to match the system-level protections of hosted offerings and mitigate risks from malicious or unintended behaviors. Its open-weight design makes it ideal for on-premises or edge deployments where control, customization, and transparency are paramount.
  • 24
    LangMem

    LangMem

    LangChain

    LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions.
  • 25
    Agent Builder
    ...The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools.
  • 26
    Vizard Virtual Reality Software
    ...Capture and output a wide array of precise data in real time based on research requirements. Take advantage of 3D model workflows from 3DS Max, Maya, Revit, Sketchfab, Substance Painter, and many more via glTF, DAE, FBX and more. Leverage the power of Python, the world’s most accessible, popular scripting language. Includes robust open-source community libraries and toolkits for researchers. Achieve versatile rendering including multi-user, clustering, multi-channel abilities, Projection VR, HTC Vive, Oculus Rift, Windows MR headsets, and more with Vizard virtual reality software
  • 27
    Azure Data Science Virtual Machines
    ...Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.
    Starting Price: $0.005
  • 28
    Oracle Machine Learning
    ...Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. ...
  • 29
    Launchable

    Launchable

    Launchable

    ...This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages.
  • 30
    Zerve AI

    Zerve AI

    Zerve AI

    ...Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. ...
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