Showing 3834 open source projects for "python source"

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  • 1
    yz-next-apyref

    yz-next-apyref

    Arno-Can's Python based API Reference Generator.

    Multi-Syntax-Version and Multi-Implementation API reference documentation generator. Supports local and remote sources.
    Downloads: 0 This Week
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  • 2
    yapydata

    yapydata

    Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties

    The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the...
    Downloads: 0 This Week
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  • 3
    Python Poloniex

    Python Poloniex

    Poloniex API wrapper for Python 2.7 & 3

    Poloniex API wrapper for Python 2.7 & 3.
    Downloads: 0 This Week
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  • 4

    Optimized Storage for temporal Data

    open Optimized Storage of time series data

    Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts.
    Downloads: 0 This Week
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  • 5
    setupdocx

    setupdocx

    Multidocument automation by templates - for sphinx, mkdocs, epydoc ...

    The ‘setupdocx‘ provides a control layer for continuous documentation by the simplified creation, packaging, and installation of documentation. The provided commands are distributed as entry points and optional base classes for further customization into 'setup.py' - setuptools / distutils. Manages arbitrary document templates for the supported builder, supports multiple builds with arbitrary document layouts, designs, and patched contents. The current release supports the following...
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  • 6
    DevOps Bash Tools

    DevOps Bash Tools

    800+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs

    Scripts for many popular DevOps technologies, see Inventory below for more details. Advanced configs for common tools like Git, vim, screen, tmux, PostgreSQL psql etc. CI configs for most major Continuous Integration products (see CI builds page) CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other...
    Downloads: 0 This Week
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  • 7
    yapyutils

    yapyutils

    Utilities for platform indepentent low-level system APIs.

    The 'yapyutils' - Yet Another Python Utils - package provides miscellaneous *Python* utilities for the adaptation of platform independent APIs of the low-level part of the software stack. These are e.g. used for extensions of the *setuptools* and *distutils*, thus reduce the package dependency and avoid circular dependencies whenever possible by using standard packages and classes only. The more complex and complete data packages are provided for higher application layer...
    Downloads: 0 This Week
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  • 8
    setuplib

    setuplib

    Extensions for setuptools - detailed information on entry points

    The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group...
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  • 9
    setuptestx

    setuptestx

    Support of unit tests on multiple platforms and implementations.

    The 'setuptestx' supports a common call interface for the major implementations and releases of Python on various operating systems and their variants of distributions. The current provided implementations are: - CPython, IPython, PyPY : Python2.7, and Python3.5+ - IronPython, Jython : Python2.7 For the OS see *Tested Platforms* in the manuals.
    Downloads: 0 This Week
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  • 10
    setuplibcore

    setuplibcore

    Internal functions to avoid dependency issues

    Downloads: 0 This Week
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  • 11
    namedtupledefs

    namedtupledefs

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
    Downloads: 0 This Week
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  • 12
    namedtuplex

    namedtuplex

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
    Downloads: 0 This Week
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  • 13
    namedtupledefs3

    namedtupledefs3

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
    Downloads: 0 This Week
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  • 14
    namedtupledefs2

    namedtupledefs2

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python3 see namedtupledefs3 or namedtupledefs
    Downloads: 0 This Week
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  • 15
    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...
    Downloads: 0 This Week
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  • 16
    I3D models trained on Kinetics

    I3D models trained on Kinetics

    Convolutional neural network model for video classification

    Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with...
    Downloads: 4 This Week
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  • 17
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,...
    Downloads: 0 This Week
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  • 18
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The...
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  • 19
    hug

    hug

    Embrace the APIs of the future. For developing APIs

    hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API...
    Downloads: 0 This Week
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  • 20
    AES Everywhere

    AES Everywhere

    Cross Language AES 256 Encryption Library

    AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt.
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  • 21
    Webterminal bastion server

    Webterminal bastion server

    ssh rdp vnc telnet sftp bastion/jump web putty xshell terminal

    Webterminal implemented by django. This project focus on DevOps and Continuous Delivery. For now it supports almost 90% of remote management protocols such as vnc, ssh, RDP, telnet, sftp... It supports the possibility to monitor and record user actions when users use this project to manage their server! You can also replay the user action such as a video. Hope you enjoy it. Webterminal helper support (use your favorite tools to manage and connect server) VNC, RDP, SFTP Remote file browser...
    Downloads: 2 This Week
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  • 22
    MLBox

    MLBox

    MLBox is a powerful Automated Machine Learning python library

    MLBox is a powerful Automated Machine Learning python library. 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,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to...
    Downloads: 0 This Week
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  • 23
    WALKOFF

    WALKOFF

    A flexible, easy to use, automation framework

    Faster, smarter, cheaper operations through automation. WALKOFF puts the tools in your hands to easily automate the tedious repetitive tasks dragging your operations down. Act smarter with WALKOFF by automatically gathering data, analyzing data, or visualizing data customized to your requirements. Act faster with WALKOFF by integrating the capabilities you already own to dynamically respond on your terms to your fast-moving environment. Drag and drop workflow editor. Sharable apps and...
    Downloads: 0 This Week
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  • 24
    Nebula docs

    Nebula docs

    Documentation repo of nebula orchestration system

    Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual...
    Downloads: 0 This Week
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  • 25
    MMF

    MMF

    A modular framework for vision & language multimodal research

    MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that...
    Downloads: 0 This Week
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