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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.
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.
View more categories (5) for "python prolog"
483 Products for "python prolog" with 3 filters applied:
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1
Python
Python
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! ...Starting Price: Free -
2
Python RPA
Python RPA
...Develop your Python automation in any open-source Python development environment.Starting Price: $275 per month -
3
IronPython
IronPython
IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. ...Starting Price: Free -
4
Touché POS
Prologic First
Touché is a versatile restaurant POS software solution for independent and chain food & beverage service operations. Its modules can be configured to meet the specific requirements of different sub-segments of the F&B business. Since its introduction at the start of this millennium, Touché restaurant software has been implemented at over 1000 sites in 30 countries. Touche has added contactless ordering and bill settlement dining features to enable F&B businesses to offer safe dining... -
5
MicroPython
MicroPython
The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. -
6
PythonJobsHQ
PythonJobsHQ
Python Jobs HQ is a Python job board, by Pythonistas for Pythonistas. This job board is managed by the same crew that brings you PyCoder’s Weekly, a popular weekly Python newsletter with over 100,000 subscribers in our mailing list and over 265,000 followers on Twitter. Included the job section of the PyCoder’s Weekly newsletter in the 45-day duration of the job posting, reaching 105,000+ email subscribers. -
7
PythonAnywhere
PythonAnywhere
...If you have a browser and an Internet connection, you've got everything you need. PythonAnywhere is a fully-fledged Python environment, ready to go, for students and teachers — concentrate on teaching, not on installation hassles. Need help with PythonAnywhere? If you get in touch, you can talk directly with the development team. Help for developers, from developers. We make a normally complicated process very simple, letting you focus on creating exciting applications for your users.Starting Price: $5 per month per app -
8
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.Starting Price: Free -
9
zope.interface
Python Software Foundation
This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python.Starting Price: Free -
10
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. ...Starting Price: Free -
11
FastAPI
FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available. Minimize code duplication, multiple features from each parameter declaration. -
12
GeoPandas
GeoPandas
GeoPandas is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. ... -
13
Bottle
Bottle
Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library. Requests to function-call mapping with support for clean and dynamic URLs. Fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates. Convenient access to form data, file uploads, cookies, headers and other HTTP-related metadata. -
14
Avanzai
Avanzai
...Leverage commonly used Python packages for quant analysis such as Pandas, Numpy, etc using plain English. Take financial analysis to the next level, quickly pull fundamental data and calculate the performance of nearly all US stocks. Enhance your investment decisions with accurate and up-to-date information. Avanzai empowers you to write the same Python code that quants use to analyze complex financial data. -
15
Cliprun
Cliprun
...Whether you're scraping data, automating workflows, or just experimenting with Python code, Cliprun removes the traditional barriers of environment setup and package management, letting you focus on solving problems.Starting Price: $10/month -
16
MLJAR Studio
MLJAR
...Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. ...Starting Price: $20 per month -
17
Luminal
Luminal
Luminal gives you the power of Python for spreadsheet processing with none of the complexity. Clean, transform or analyze large amounts of data using nothing but natural language. If it's supported by Python, it's supported by Luminal. Perform powerful cleaning operations, answer sophisticated questions and create beautiful visualizations. Don't waste your time manually processing data in Excel or writing a Python script to do the work.Starting Price: $16 per user per month -
18
marimo
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required 🔬 reproducible: no hidden state, deterministic execution, built-in package management 🏃 executable: execute as a Python script, parametrized by CLI args 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM 🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes 🐍 git-friendly: notebooks are stored as .py files ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and moreStarting Price: $0 -
19
Logfire
Pydantic
...Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.Starting Price: $2 per month -
20
PyPI
PyPI
PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions.Starting Price: Free -
21
Google Cloud Run
Google
...We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. ...Starting Price: Free (2 mil requests/month) -
22
GlassFlow
GlassFlow
GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. ...Starting Price: $350 per month -
23
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. -
24
Locust
Locust
An open source load testing tool. Define user behavior with Python code, and swarm your system with millions of simultaneous users. No need for clunky UIs or bloated XML. Just plain code. Locust supports running load tests distributed over multiple machines, and can therefore be used to simulate millions of simultaneous users. A fundamental feature of Locust is that you describe all your test in Python code. -
25
Solara
Widgetti BV
Many Python frameworks can handle basic dashboards but falter with complex ones, often leading teams to split into frontend and backend roles, causing various challenges. Solara is a new web framework that integrates ReactJS principles with Python simplicity. It offers a flexible API for various UI complexities and efficient state management. -
26
Plotly Dash
Plotly
Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. -
27
Azure Artifacts
Microsoft
Add fully integrated package management to your continuous integration/continuous delivery (CI/CD) pipelines with a single click. Create and share Maven, npm, NuGet, and Python package feeds from public and private sources with teams of any size. Create and share Maven, npm, NuGet, and Python package feeds from public and private sources. Easily share code across small teams and large enterprises. Get universal artifact management for Maven, npm, NuGet, and Python. Share packages, and use built-in CI/CD, versioning, and testing. ...Starting Price: $6 per user per month -
28
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 -
29
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. -
30
PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing.
