Showing 53 open source projects for "mac runtime"

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  • 1
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
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  • 2
    Rocketry

    Rocketry

    Modern scheduling library for Python

    Scheduler to power your Python apps. Rocketry is a modern statement-based scheduling framework for Python. It is simple, clean and extensive. It is suitable for small and big projects. Unlike the alternatives, Rocketry's scheduler is statement-based. Rocketry natively supports the same scheduling strategies as the other options, including cron and task pipelining, but it can also be arbitrarily extended using custom scheduling statements. Rocketry is suitable for quick automation projects...
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  • 3
    SageMaker Containers

    SageMaker Containers

    Create SageMaker-compatible Docker containers

    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to...
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  • 4
    pysourceinfo

    pysourceinfo

    RTTI for Python Source and Binary Files

    The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and...
    Downloads: 6 This Week
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  • 5
    pythonids

    pythonids

    Enumeration of Python implementations and releases

    The ‘pythonids‘ package provides the enumeration of Python syntaxes and the categorization of Python implementations. This enables the development of fast and easy portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The current supported syntaxes are Python2.7+ and Python3 for the Python implementations: CPython IPython (based on CPython) IronPython Jython PyPy
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  • 6
    platformids

    platformids

    OS and Distribution Release Enumeration

    The ‘platformids‘ package provides the categorization and enumeration of OS platforms and distributions. This enables the development of portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The introduced hierarchical bitmask vectors enable for fast and efficient platform specific code and data selection for OS and distributions with routines for specific platform releases. The supported...
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  • 7
    cntnr

    cntnr

    CLI wrapper for basic container (Docker/libpod) management tasks

    CLI wrapper for basic container (Docker/libpod) management tasks. This is a Python wrapper script to simplify specific tasks in a container environment. It is designed to work with your container runtime of choice (currently podman and docker). A CLI menu makes these selections possible. This project was created for a lab assignment in NSSA-244 Virtualization at the Rochester Institute of Technology.
    Downloads: 0 This Week
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  • 8
    Pipelines

    Pipelines

    An experimental programming language for data flow

    Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.
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  • 9
    django-dynamic-scraper

    django-dynamic-scraper

    Creating Scrapy scrapers via the Django admin interface

    Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but...
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  • 10
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative...
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  • 11
    Py-backwards

    Py-backwards

    Python to python compiler that allows you to use Python 3.6 features

    py-backwards is a transpiler that takes modern Python code (with newer syntax) and converts it to older Python versions so you can run it in legacy environments. For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and...
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  • 12
    z-utalm

    z-utalm

    Unified Test and Logging layer for multiple programming languages

    Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development,...
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  • 13
    Python for .NET
    Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
    Downloads: 1 This Week
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  • 14

    python dagger

    File dependency graph evaluator in pure python.

    Dagger evaluates file dependencies in a directed-acyclic-graph (DAG) like GNU make, but timestamps or hashes can be used on a per-file basis when evaluating which file nodes are up to date or stale. Use fast timestamp comparisons on large files when hashing is too slow, and hashing on small files. When hashing is used, it's stored in either a text file or sqlite database (in-memory at runtime is optional). Files can be forced as stale or uptodate. Dagger can be used as a building block for a...
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  • 15
    A Python-Based Distributed Runtime System for Cloud Computing.
    Downloads: 0 This Week
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  • 16
    Live graphical user interface, coding in runtime with python.
    Downloads: 0 This Week
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  • 17
    NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
    Downloads: 0 This Week
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  • 18
    Provides runtime typechecking facilities for python functions, methods and generators.
    Downloads: 0 This Week
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  • 19
    yuik is an abstract widget library for creating GUIs. The actual frontend can be chosen at runtime which allows the program to run under Tk, as a shell program, and even as a web-application. More frontends like an irc-bot, wxWidgets, or XUL are planned.
    Downloads: 0 This Week
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  • 20
    Scheme runtime environment in Python.
    Downloads: 0 This Week
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  • 21
    PyMonitor module is used to add support for enable runtime monitoring/inspecting of an running Python application.
    Downloads: 3 This Week
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  • 22
    An interpreter for the Logo programming language. Written in Python, with access to the Python runtime and libraries.
    Downloads: 0 This Week
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  • 23
    Matlab/Octave to Python conversion facility. The tool will take existing scripts and convert them to Python. Also includes Python bindings to Octave and a small runtime support library. Built on top of Numeric Python extensions.
    Downloads: 0 This Week
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  • 24
    The Snake Skin Bean Breaker converts Python syntax into readable Java syntax. With a high potential of runtime or compile-time deviances, the resultant code is assumed to be broken.. Works well for porting Jython Swing prototypes.
    Downloads: 0 This Week
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  • 25
    Python Standalone Builds

    Python Standalone Builds

    Produce redistributable builds of Python

    Python Standalone Builds is an open-source project that provides precompiled, portable Python distributions designed for embedding, redistribution, and reproducible environments across different platforms. It allows developers to use Python without relying on system-level installations, making it ideal for packaging applications or running Python in controlled environments. The distributions are built with a focus on portability, enabling them to run consistently across operating systems...
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