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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.
Pawn Shop Software
Pawn shop software streamlines and manages the day-to-day operations of pawn shops, handling everything from loan management to inventory control. It enables pawnbrokers to track pledged items, calculate interest rates, and manage payment schedules for loans. With integrated customer management features, the software helps shops maintain detailed records, including customer histories and transaction details. It also supports compliance with local regulations by tracking and reporting transactions accurately. Ultimately, pawn shop software improves operational efficiency, enhances customer service, and ensures accurate financial record-keeping for pawn businesses.
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.
View more categories (6) for "python raspberry pi"
42 Products for "python raspberry pi" with 4 filters applied:
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1
Pi Cloud
Pi DATACENTERS Pvt. Ltd.
...Its GPU Cloud offerings, powered by NVIDIA A100, deliver unmatched performance for AI and data-intensive workloads. Pi Managed Services (Pi Care) further enhances IT operations by offering 24/7 monitoring, cost transparency, and reduced TCO. By blending innovation, flexibility, and continuous R&D, Pi Cloud empowers enterprises to achieve operational excellence and competitive advantage.Starting Price: $240 -
2
Authentify
pi-labs
...As a leader in AI-driven cyberforensics, pi-labs is committed to providing reliable, state-of-the-art solutions that meet the complex demands of modern investigative environments, ensuring integrity, security, and actionable intelligence. -
3
Wing Python IDE
Wingware
...Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. -
4
Teradata VantageCloud
Teradata
...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. -
5
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
Gurobi Optimizer
Gurobi Optimization
...Integrate Gurobi into your applications easily, using the languages you know best. Our programming interfaces are designed to be lightweight, modern, and intuitive, to minimize your learning curve while maximizing your productivity. Our Python API includes higher-level modeling constructs that make it easier to build optimization models. Choose from Anaconda Python distributions with pre-built libraries to support application development, Spyder for graphical development, and Jupyter for notebook-style development. -
7
NVIDIA RAPIDS
NVIDIA
...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
NVIDIA FLARE
NVIDIA
...It is suitable for applications requiring data privacy and regulatory compliance, such as medical imaging and financial analytics. It is available for download via the NVIDIA NVFlare GitHub repository and PyPi.Starting Price: Free -
9
Semantic Kernel
Microsoft
...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 -
10
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 -
11
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 -
12
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.Starting Price: $0 -
13
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 -
14
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
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
OpenAI
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
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 -
18
NVIDIA TensorRT
NVIDIA
...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 -
19
Artelys Knitro
Artelys
...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. -
20
NVIDIA DeepStream SDK
NVIDIA
...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. -
21
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 -
22
gpt-oss-20b
OpenAI
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. -
23
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. -
24
Agent Builder
OpenAI
...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. -
25
Vizard Virtual Reality Software
WorldViz
...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 -
26
Azure Data Science Virtual Machines
Microsoft
...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 -
27
Oracle Machine Learning
Oracle
...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. ... -
28
JetBrains Aqua
JetBrains
Aqua is the first IDE created specifically for test automation. It‘s an all-in-one workspace that supports Selenium, Cypress, and Playwright. Aqua is a polyglot IDE that understands Java, Python, JavaScript, TypeScript, Kotlin, and SQL. Get straight to testing without having to install and configure lots of plugins. Aqua boasts a unique feature set containing everything a test automation engineer needs on a daily basis. Aqua’s Web Inspector works like a built-in browser and allows you to capture any page element without switching to another tool. ...Starting Price: $249 per year -
29
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. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. ...Starting Price: $20 per month -
30
ExcelMaster.ai
ExcelMaster.ai
ExcelMaster.ai is an AI-powered Excel assistant that comprehends real-world Excel table structures, enabling it to generate accurate formulas and automate tasks through simple conversational inputs. It excels in handling complex formulas, VBA, and Python tasks, surpassing tools like Copilot and ChatGPT in data processing challenges. The platform offers a VBA Assistant for creating and refining customized VBA code, a Formula Assistant for precise formula generation, and Cell AI features including classification, keyword extraction, format conversion, sentiment analysis, and real-time translation. ...Starting Price: $1 per month
