Results for: .pyc to .py
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101 Products for ".pyc to .py"
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1
JetBrains Junie
JetBrains
Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time. Junie adapts seamlessly to your workflow, providing plans for execution and collaborating on complex coding tasks through different modes like code mode and ask mode. It understands project structure and logic, helping to find efficient solutions and maintain clean, production-ready code. ...Starting Price: Free -
2
NumPy
NumPy
...The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.Starting Price: Free -
3
h5py
HDF5
...H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API.Starting Price: Free -
4
PyMOL
PyMOL
PyMOL is a user-sponsored molecular visualization system on an open-source foundation, maintained and distributed by Schrödinger. PyQt interface replaces Tcl/Tk and MacPyMOL on all platforms. Better third-party plugin and custom scripting support. A comprehensive software package for rendering and animating 3D structures. A plug-in for embedding 3D images and animations into PowerPoint presentations. -
5
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 -
6
DeepPy
DeepPy
DeepPy is a MIT licensed deep learning framework. DeepPy tries to add a touch of zen to deep learning as it. DeepPy relies on CUDArray for most of its calculations. Therefore, you must first install CUDArray. Note that you can choose to install CUDArray without the CUDA back-end which simplifies the installation process. -
7
PyGaze
PyGaze
PyGaze offers a platform that is more user-friendly than the currently existing alternatives, when it comes to creating complicated experiments (or other software). From stimulus presentation to eye-tracker communication: everything can be handled by via PyGaze scripting. Of course, we do rely heavily on all the brilliant dependencies (see the links in the first paragraph) and you could do pretty much the same if you were to use each of these independently, but this would require more programming skills and would cost more effort and time than when you would use PyGaze. ... -
8
PyInvesting
PyInvesting
...Receive email updates with your live orders and portfolio positions. A simple and powerful platform for investors to customize, backtest and go live with their own investment strategies. PyInvesting empowers investors to make data-driven decisions. PyInvesting is designed for both beginners and professionals to explore their strategies and portfolio ideas. For investors who are more focused on the number crunching, the quantitative part of investing, PyInvesting is here to help make your life easier. PyInvesting is a powerful tool that helps investors backtest and go live with their investment ideas without writing a single line of code.Starting Price: $19.90 per month -
9
PyBullet
PyBullet
PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. -
10
PY Payroll
EmpowerFinancials
Unlimited number of pay types including regular, hourly, salary, overtime, etc. Effective on/off date for pay rates. Limits by pay period and/or YTD. Deductions. Unlimited number of deductions per employee. Vary the frequency of each deduction as monthly, annual, pay period, quarterly, etc. Limits by pay period, YTD, and LTD. Calculate and collect arrearages. Direct deposit any deduction. Retirement Plans. Employer paid. 401K and 403B plans. Support all federal, state, and local taxes.... -
11
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. -
12
CherryPy
CherryPy
CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. This results in smaller source code developed in less time. CherryPy is now more than ten years old, and it has proven to be fast and reliable. It is being used in production by many sites, from the simplest to the most demanding. -
13
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 -
14
PyAutoGUI
PyAutoGUI
PyAutoGUI lets your Python scripts control the mouse and keyboard to automate interactions with other applications. The API is designed to be simple. PyAutoGUI works on Windows, macOS, and Linux, and runs on Python 2 and 3. Moving the mouse and clicking in the windows of other applications. Sending keystrokes to applications (for example, to fill out forms).Starting Price: Free -
15
PyMuPDF
Artifex
PyMuPDF also supports advanced operations like splitting, merging, inserting, or deleting pages; drawing and filling shapes; handling color spaces; and converting between formats. The library is lightweight but robust, optimized for speed and low memory overhead. On top of the base PyMuPDF, PyMuPDF Pro adds support for reading and writing Microsoft Office-format documents and enhanced functionality for integrating Large Language Model (LLM) pipelines and Retrieval Augmented Generation (RAG). -
16
PyCharm
JetBrains
PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.Starting Price: $199 per user per year -
17
PyTorch
PyTorch
...Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. ... -
18
TorchMetrics
TorchMetrics
TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. A standardized interface to increase reproducibility. It reduces boilerplate. distributed-training compatible. It has been rigorously tested. Automatic accumulation over batches. Automatic synchronization between multiple devices. You can use TorchMetrics in any PyTorch model, or within PyTorch Lightning to enjoy additional benefits.Starting Price: Free -
19
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 -
20
GeniePy
GeniePy
GeniePy is a modern SaaS boilerplate written entirely in Python, designed to expedite the development of software-as-a-service applications by providing a comprehensive, ready-to-use codebase. It offers built-in features such as user authentication, subscription-based payments, an SEO-optimized blog, email-sending capabilities, and database integration, all functioning out of the box from day one.Starting Price: €129 one-time payment -
21
PyNet Labs
PyNet Labs
PyNet Labs offers comprehensive Network Automation courses designed to help networking professionals master automation tools and technologies. Our training covers Python programming, Ansible, Netmiko, NAPALM, and other industry-relevant tools that simplify network configuration, management, and monitoring. With a strong focus on hands-on labs and real-world scenarios, learners gain the skills needed to automate repetitive tasks, reduce configuration errors, and improve overall network efficiency. ...Starting Price: 12000 INR -
22
Coverage.py
Coverage.py
Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not.Starting Price: Free -
23
yarl
Python Software Foundation
...Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.Starting Price: Free -
24
AWS Neuron
Amazon Web Services
...For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP). -
25
Qtile
Qtile
...Leverage the full power and flexibility of the language to make it fit your needs. We aim to always support the last three versions of CPython, the reference Python interpreter. We usually support the latest stable version of PyPy as well. You can check the versions and interpreters we currently run our test suite against in our tox configuration file. -
26
JAX
JAX
JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. ... -
27
broot
broot
The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). ...Starting Price: Free -
28
Dask
Dask
Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. ... -
29
MPI for Python (mpi4py)
MPI for Python
...The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.Starting Price: Free -
30
DeepSpeed
Microsoft
...It can also train up to 13 billion parameters in a single GPU. DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.Starting Price: Free
