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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.
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"
645 Products for "python prolog" with 2 filters applied:
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1
hug
hug
...With hug, design and develop your API once, then expose it however your clients need to consume it. Be it locally, over HTTP, or through the command line - hug is the fastest and most modern way to create APIs on Python3. hug has been built from the ground up with performance in mind. It is built to consume resources only when necessary and is then compiled with Cython to achieve amazing performance. As a result, hug consistently benchmarks as one of the fastest Python frameworks and without question takes the crown as the fastest high-level framework for Python 3. hug makes it easy to expose multiple versions of your API. ... -
2
Zato
Zato
Do less to achieve more and make progress that matters for your business and social initiatives in the integrated world of today. Zato is an open-source, Python-based platform that lets you build and deliver enterprise solutions with ease, from online APIs, business processes, data science, AI, ML, IoT, mainframe and cloud migrations to automation, digital transformation, knowledge graphs and state-of-the-art technologies, combining ease of use with safety and security. Gain advantage by using Python, a real, very high-level programming language. ... -
3
Daft
Daft
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. -
4
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire.Starting Price: Free -
5
TextBlob
TextBlob
...TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks. -
6
Train in Data
Train in Data
Train in Data is your go-to online school for mastering machine learning. We offer intermediate and advanced courses in Python programming, data science and machine learning, taught by industry experts with extensive experience in developing, optimizing, and deploying machine learning models in enterprise production environments. We focus on building a solid, intuitive grasp of machine learning concepts, backed by hands-on Python coding to make sure you can actually apply what you learn. ...Starting Price: $15 -
7
asyncio
asyncio
asyncio is used as a foundation for multiple Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. asyncio is often a perfect fit for IO-bound and high-level structured network code. -
8
dupeGuru
dupeGuru
dupeGuru is a cross-platform (Linux, OS X, Windows) GUI tool to find duplicate files in a system. It’s written mostly in Python 3 and has the peculiarity of using multiple GUI toolkits, all using the same core Python code. On OS X, the UI layer is written in Objective-C and uses Cocoa. On Linux & Windows, it’s written in Python and uses Qt5. dupeGuru is a tool to find duplicate files on your computer. It can scan either filenames or contents. The filename scan features a fuzzy matching algorithm that can find duplicate filenames even when they are not exactly the same. dupeGuru runs on Mac OS X and Linux. ... -
9
parsel
Python Software Foundation
Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements.Starting Price: Free -
10
waiting
Python Software Foundation
...The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).Starting Price: Free -
11
h5py
HDF5
The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want.Starting Price: Free -
12
Coverage.py
Coverage.py
...Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.Starting Price: Free -
13
CodeT5
Salesforce
...Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). ... -
14
{CodeWhizz}
{CodeWhizz}
The AI-Powered Python and JavaScript Generator/Debugger/Tutor. Become a pro-coder in seconds. Generate pro-level code in an instant. Type what you need, run the program, and boom! The Whizzy AI model will compute your request and generate your code in an editable code window, so you can touch it up and personalize it however you need. Don't hassle with clunky and slow IDE's, the integrated CodeEngine will run your Python code and generate outputs, and plots, seamlessly. ...Starting Price: $37.50 per month -
15
PySaaS
PySaaS
PySaaS is a pure Python SaaS starter kit that streamlines the development of software-as-a-service applications by providing a boilerplate codebase for both frontend and backend components. It offers built-in user authentication through Supabase or Firebase, subscription management via Lemon Squeezy, and a pre-designed landing page with feature and pricing card components.Starting Price: $149 one-time payment -
16
gevent
gevent
gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.Starting Price: Free -
17
unittest
Python
The unittest unit testing framework was originally inspired by JUnit and has a similar flavor as major unit testing frameworks in other languages. It supports test automation, sharing of setup and shutdown code for tests, aggregation of tests into collections, and independence of the tests from the reporting framework. A test fixture represents the preparation needed to perform one or more tests, and any associated cleanup actions. This may involve, for example, creating temporary or proxy...Starting Price: Free -
18
pytest-cov
Python
This plugin produces coverage reports. Compared to just using coverage run this plugin does some extras. Subprocess support, so you can fork or run stuff in a subprocess and will get covered without any fuss. Xdist support, so you can use all of pytest-xdist’s features and still get coverage. Consistent pytest behavior. All features offered by the coverage package should work, either through pytest-cov’s command line options or through coverage’s config file. Under certain scenarios, a stray...Starting Price: Free -
19
MatDeck
LabDeck
MatDeck is a universal, technical software for Mathematics, Science, Engineering, Chemistry, Coding, Databases and many other uses. Our software offers a complete Python IDE; thousands of mathematical functions; a drag and drop GUI Designer and various visualization tools, all embedded within a cutting-edge, live document for an inexpensive and professional computing environment.Starting Price: Free -
20
Jedi
Jedi
Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. -
21
PyQtGraph
PyQtGraph
PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license.Starting Price: Free -
22
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 -
23
Matplotlib
Matplotlib
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).Starting Price: Free -
24
Azure Notebooks
Microsoft
...Perfect for data scientists, developers, students, or anyone. Develop and run code in your browser regardless of industry or skillset. Supporting more languages than any other platform including Python 2, Python 3, R, and F#. Created by Microsoft Azure: Always accessible, always available from any browser, anywhere in the world. -
25
BotCity
BotCity
With the proliferation of user-created Python scripts and AIs outside of IT governance, companies face increasing risks of Shadow IT, such as security breaches, compliance issues, and loss of operational control. BotCity solves this scenario with a centralized governance platform, enterprise orchestration, and real-time visibility into all Python automations, including AI-driven ones.Starting Price: 30-day trial -
26
fal
fal.ai
...Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.Starting Price: $0.00111 per second -
27
Mojo
Modular
Mojo 🔥 — a new programming language for all AI developers. Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Write Python or scale all the way down to the metal. Program the multitude of low-level AI hardware. No C++ or CUDA required. Utilize the full power of the hardware, including multiple cores, vector units, and exotic accelerator units, with the world's most advanced compiler and heterogenous runtime. ...Starting Price: Free -
28
Zorro
oP group Germany GmbH
Zorro is a free institutional-grade software tool specialized on financial research and algorithmic trading. It's compact, easy to learn, and magnitudes faster than R or Python. It can do anything that automated trading platforms do - only better. Zorro offers extreme flexibility and features otherwise not found in consumer trading software. Any trading system, research project, or analysis tool can be realized with a small script in simplified C or C++ (see script examples). R and Python are also supported. ...Starting Price: Free -
29
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. -
30
Docmosis
Docmosis Pty Ltd
...Used by customers in Finance, Health, Legal, Education, Government, HR, Insurance, Logistics, and Manufacturing to generate customized letters invoices, proposals, contracts, statements, reports and more. Integrate with: Custom software built using Java, C#, Python, PHP, Ruby and more via a REST API; Low-code and no-code platforms like Appian, Bubble, Mendix, Outsystems; Third-party form builders or apps that can perform a webhook such as FormAssembly or Salesforce.Starting Price: $50.00/month
