Showing 607 open source projects for "python tools"

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  • 1
    Whalebrew

    Whalebrew

    Homebrew, but with Docker images

    ... (e.g. where commands must start instantly). It works particularly well for a Python app that requires C libraries, specific package versions, and other CLI tools that you don't want to clutter up your machine with. Package managers tend to be very closely tied to the system they are running on. Whalebrew packages work on any modern version of macOS, Linux, and Windows.
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  • 2
    DALI

    DALI

    A GPU-accelerated library containing highly optimized building blocks

    The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,...
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  • 3
    AWS ParallelCluster Cookbook

    AWS ParallelCluster Cookbook

    The Chef cookbook used to build and bootstrap AWS ParallelCluster

    AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates...
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  • 4
    PaaSTA

    PaaSTA

    An open, distributed platform as a service

    ... to run and then ensures that those services are deployed safely, efficiently, and in a manner that is easy for the teams to maintain. Rather than managing Kubernetes YAML files, PaaSTA provides a simplified schema to describe your service and in addition to configuring Kubernetes it can also configure other infrastructure tools to provide monitoring, logging, cost management etc.
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  • 5
    Kapitan

    Kapitan

    Generic templated configuration management for Kubernetes

    ... capabilities, and native secret management tools offer granular control, fostering consistency, reducing errors, and safeguarding sensitive data. Empower your team to make changes to your infrastructure whilst maintaining full control, with a GitOps approach and full transparency.
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  • 6
    CodiumAI PR-Agent

    CodiumAI PR-Agent

    AI-Powered tool for automated pull request analysis

    CodiumAI PR-Agent is an open-source tool aiming to help developers review pull requests faster and more efficiently. It automatically analyzes the pull request and can provide several types of commands. See the Usage Guide for instructions how to run the different tools from CLI, online usage, Or by automatically triggering them when a new PR is opened. You can try GPT-4 powered PR-Agent, on your public GitHub repository, instantly. Just mention @CodiumAI-Agent and add the desired command...
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  • 7
    OSRFramework

    OSRFramework

    OSRFramework, the Open Sources Research Framework is a AGPLv3+ project

    OSRFramework is a GNU AGPLv3+ set of libraries developed by i3visio to perform Open Source Intelligence collection tasks. They include references to a bunch of different applications related to username checking, DNS lookups, information leaks research, deep web search, regular expressions extraction and many others. At the same time, by means of ad-hoc Maltego transforms, OSRFramework provides a way of making these queries graphically as well as several interfaces to interact with like...
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  • 8
    spacy-transformers

    spacy-transformers

    Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

    spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre...
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  • 9
    Django Material

    Django Material

    Material Design for Django

    Material Design for Django. Django web framework solves only technical problems related to the client-server interaction on top of the stateless HTTP protocol. Model-View-Template separation pattern helps to maintain simple CRUD based logic. Viewflow is the library that offers an additional layer of django web framework, allows explicitly specify people's workflow and extracts collaboration logic from django views. Strong python/html code separation. Easy redefinition of particular fields...
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  • 10
    drf-yasg

    drf-yasg

    Automated generation of real Swagger/OpenAPI 2.0 schemas

    Only the latest version of drf-yasg is supported. Support of old versions is dropped immediately with the release of a new version. Please do not create issues before upgrading to the latest release available at the time. Regression reports are accepted and will be resolved with a new release as quickly as possible. Removed features will usually go through a deprecation cycle of a few minor releases. If you are looking to add Swagger/OpenAPI support to a new project you might want to take a...
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  • 11
    Seldon Core

    Seldon Core

    An MLOps framework to package, deploy, monitor and manage models

    ... and deployment (CI/CD) tools to scale and update your deployment. Built on Kubernetes, runs on any cloud and on-premises. Framework agnostic, supports top ML libraries, toolkits and languages. Advanced deployments with experiments, ensembles and transformers. Our open-source framework makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes.
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  • 12
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can...
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  • 13
    jsii

    jsii

    jsii allows code in any language to naturally interact with JavaScript

    jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase! A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed...
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  • 14
    CapRover

    CapRover

    Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids

    CapRover is an extremely easy-to-use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate...
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  • 15
    HelloGitHub

    HelloGitHub

    Share interesting, entry-level open source projects on GitHub

    ... found in the process of browsing GitHub, so that it would be easier to find and learn later. Later, I plan to share these interesting and valuable open source projects with you. I ended up writing this website for easy viewing and sharing. Open source projects in various languages, tools to make life better, books, study notes, tutorials, and more. Through these projects, you will learn more programming knowledge, improve your programming skills, and discover the joy of programming.
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  • 16
    AI4U

    AI4U

    Multi-engine plugin to specify agents with reinforcement learning

    AI4U is a multi-engine plugin (Godot and Unity) that allows you to design Non-Player Characters (NPCs) of games using an agent abstraction. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learning community specifically and by the Artificial Intelligence community in general. Reinforcement learning promises to overcome traditional navigation mesh mechanisms in games and to provide more autonomous...
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  • 17
    LocalStack

    LocalStack

    Develop and test your cloud apps offline

    .../testing tools, combining them and making them interoperable, and adding important functionality such as error injection and pluggable services. All this happening locally, without ever talking to the cloud.
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  • 18
    libgit2

    libgit2

    A cross-platform, portable, linkable Git implementation library

    libgit2 is a portable, pure C implementation of the Git core methods provided as a re-entrant linkable library with a solid API, allowing you to write native speed custom Git applications in any language which supports C bindings. Libgit2 is developed with CMake, and this is be the easiest way to build a binary from the source. The CMake build system provides lots of options to configure the libgit2 build for your particular needs. It’s highly recommended that you build libgit2 as a static...
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  • 19
    TraceRoot

    TraceRoot

    Find the Root Cause in Your Code's Trace

    ... and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.
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  • 20
    Requests for PHP

    Requests for PHP

    Requests for PHP is a humble HTTP request library

    Requests is a HTTP library written in PHP, for human beings. It is roughly based on the API from the excellent Requests Python library. Requests is ISC Licensed (similar to the new BSD license) and has no dependencies, except for PHP 5.6+. Despite PHP’s use as a language for the web, its tools for sending HTTP requests are severely lacking. cURL has an interesting API, to say the least, and you can’t always rely on it being available. Sockets provide only low-level access and require you...
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  • 21
    Nerves

    Nerves

    Craft and deploy bulletproof embedded software in Elixir

    Nerves is the open-source platform and infrastructure you need to build, deploy, and securely manage your fleet of IoT devices at speed and scale. Nerves is written in Elixir, but you don’t have to rewrite everything in Elixir to get the advantages of Nerves, simply bring your own code (like C, C++, Python, Rust, and more) and scale up. Nerves use the Erlang runtime system, known for being distributed, fault-tolerant, soft real-time, and highly available. Nerves has the tools you need to manage...
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  • 22
    Tribuo

    Tribuo

    Tribuo - A Java machine learning library

    Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts...
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  • 23
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing...
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  • 24
    Shynet

    Shynet

    Modern, privacy-friendly, and detailed web analytics

    Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. There are a lot of web analytics tools. Unfortunately, most of them come with the following caveats. They require handing all of your visitors' info to a third-party company They use cookies to track visitors across sessions, so you need to have those annoying cookie notices. They collect so much personal data that even the NSA is jealous. They are closed source and/or expensive, often with limited data...
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  • 25
    This file is capable of creating tools in Python (preferably written using the tkinter graphical interface), but to do so, you need to have the latest version of Python installed on your computer. In addition, you must install pyinstaller using the command pip install pyinstaller to be entered in CMD. Alternatively, you can use this other .bat file that autonomously installs many Python utilities. This link: https://sourceforge.net/projects/pip-installs-and-up-for-python/ You will find...
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