Showing 15965 open source projects for "linux-debian"

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  • 1
    Alibi Detect

    Alibi Detect

    Algorithms for outlier, adversarial and drift detection

    Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection.
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  • 2
    Mashumaro

    Mashumaro

    Fast and well tested serialization library on top of dataclasses

    When using data classes, you often need to dump and load objects based on the schema you have. Mashumaro not only lets you save and load things in different ways, but it also does it super quickly.
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  • 3
    orjson

    orjson

    Fast, correct Python JSON library supporting dataclasses, datetimes

    ...It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change.
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  • 4
    Tequila

    Tequila

    A High-Level Abstraction Framework for Quantum Algorithms

    Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices.
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  • 5
    QuTiP

    QuTiP

    QuTiP: Quantum Toolbox in Python

    ...QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. QuTiP is freely available for use and/or modification on all major platforms such as Linux, Mac OSX, and Windows*. Being free of any licensing fees, QuTiP is ideal for exploring quantum mechanics and dynamics in the classroom.
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  • 6
    Fingerprint Pro Server Python SDK

    Fingerprint Pro Server Python SDK

    Python SDK for Fingerprint Pro Server API

    Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device.
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  • 7
    WordOps

    WordOps

    Install and manage a high performance WordPress stack

    An essential toolset that eases WordPress site and server administration.
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  • 8
    Covalent workflow

    Covalent workflow

    Pythonic tool for running machine-learning/high performance workflows

    Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. Covalent overcomes computational and operational challenges inherent...
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  • 9
    Payloads All The Things

    Payloads All The Things

    A list of useful payloads and bypass for Web Application Security

    A list of useful payloads and bypasses for Web Application Security. Feel free to improve with your payloads and techniques. The API key is a unique identifier that is used to authenticate requests associated with your project. Some developers might hardcode them or leave it on public shares.
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  • 10
    Awesome Fraud Detection Research Papers

    Awesome Fraud Detection Research Papers

    A curated list of data mining papers about fraud detection

    A curated list of data mining papers about fraud detection from several conferences.
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  • 11
    GRR

    GRR

    GRR Rapid Response, remote live forensics for incident response

    GRR Rapid Response is an incident response framework focused on remote live forensics. It consists of a python client (agent) that is installed on target systems, and python server infrastructure that can manage and talk to clients. The goal of GRR is to support forensics and investigations in a fast, scalable manner to allow analysts to quickly triage attacks and perform analysis remotely. GRR client is deployed on systems that one might want to investigate. On every such system, once...
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  • 12
    troposphere

    troposphere

    Python library to create AWS CloudFormation descriptions

    The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.
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  • 13
    MyUW

    MyUW

    MyUW Django development server

    MyUW is a project under the University of Wisconsin-Madison Information Technology Department. The MyUW team develops several free and open source products which they operate in the MyUW portal, a portal that provides applicants, advisors, students, faculty and staff with an easy, secure and efficient way to access the university's services, applications and resources. This particular project will allow you to get started with the Django development server, running MyUW as javerage. From...
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  • 14
    One-Lin3r

    One-Lin3r

    Gives you one-liners that aids in penetration testing operations

    ...The framework includes hundreds of prebuilt one-liners covering areas such as reverse shells, privilege escalation, bind shells, and payload delivery techniques. It is designed to be cross-platform, supporting environments like Windows, Linux, macOS, and BSD systems, making it highly versatile for different penetration testing scenarios. One of its standout aspects is its intelligent autocomplete system, which not only predicts commands but also corrects user input errors and suggests the closest matching commands.
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  • 15
    GPUStack

    GPUStack

    Performance-optimized AI inference on your GPUs

    ...Instead of requiring complex orchestration systems such as Kubernetes, GPUStack provides a lightweight environment that automatically selects appropriate inference engines, configures deployment parameters, and schedules workloads across available GPUs. The platform supports GPUs from a wide range of vendors and can run on laptops, workstations, and servers across operating systems such as macOS, Windows, and Linux. It also enables developers to deploy models from common repositories like Hugging Face and access them through APIs similar to cloud-based AI services.
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  • 16
    Perf Book

    Perf Book

    The book "Performance Analysis and Tuning on Modern CPU"

    This project is a practical guide to performance analysis and tuning on modern CPUs, bridging microarchitecture details with hands-on profiling. It explains how caches, TLBs, prefetchers, branch predictors, and out-of-order execution influence real program speed, then connects those concepts to concrete optimization strategies. Readers learn how to design trustworthy benchmarks, avoid measurement traps (warmup, turbo, frequency scaling), and interpret hardware performance counters. The book...
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  • 17
    Appfl

    Appfl

    Advanced Privacy-Preserving Federated Learning framework

    APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.
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  • 18
    Substra

    Substra

    Low-level Python library used to interact with a Substra network

    An open-source framework supporting privacy-preserving, traceable federated learning and machine learning orchestration. Offers a Python SDK, high-level FL library (SubstraFL), and web UI to define datasets, models, tasks, and orchestrate secure, auditable collaborations.
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  • 19
    Pysheeet

    Pysheeet

    Python Cheat Sheet

    Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers.
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  • 20
    Read the Docs

    Read the Docs

    The source code that powers readthedocs.org

    Read the Docs is a platform that automates building, versioning, and hosting documentation from source repositories. Supporting Sphinx, MkDocs, Jupyter Book, and more, it integrates with GitHub, GitLab, and Bitbucket to trigger automatic builds upon updates. Both open-source projects and private documentation can be hosted, with previews, search, audits, and analytics, enabling seamless “Docs as Code” workflows.
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  • 21
    FastUI

    FastUI

    Build better UIs faster

    FastUI is a library that lets developers build interactive user interfaces for FastAPI applications using Pydantic models. It automatically generates frontend components based on data schemas and endpoint logic, reducing the need for manual UI development. Designed to be type-safe, reactive, and fast, FastUI streamlines the creation of web dashboards, admin panels, and internal tools within a FastAPI backend.
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  • 22
    Instructor Python

    Instructor Python

    Structured outputs for llms

    Instructor is a Python library that bridges OpenAI responses with structured data validation using Pydantic models. It lets developers specify expected output schemas and ensures that the responses from OpenAI APIs are automatically parsed and validated against those models. This makes integrating LLMs into structured workflows safer and more predictable, especially in production applications.
    Downloads: 0 This Week
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  • 23
    redis-py

    redis-py

    Redis Python client

    redis-py is the official Python client for interacting with Redis, the in-memory data structure store. It supports all Redis commands and data types, making it easy to build caching, messaging, or real-time analytics features in Python applications. With both synchronous and asyncio support, redis-py is suited for modern Python projects and integrates smoothly into web frameworks, task queues, and backend services.
    Downloads: 0 This Week
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  • 24
    RAG API

    RAG API

    ID-based RAG FastAPI: Integration with Langchain and PostgreSQL

    rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps.
    Downloads: 0 This Week
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  • 25
    Django Migration Linter

    Django Migration Linter

    Detect backward incompatible migrations for your django project

    django-migration-linter is a tool that statically analyzes Django migration files to detect potentially dangerous operations. It flags migrations that might lock tables, drop columns, or perform expensive schema changes, helping teams catch issues before deployment. This tool is ideal for teams practicing continuous delivery or working on high-availability systems.
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