Search Results for "linux distribution 2017" - Page 7

Showing 3329 open source projects for "linux distribution 2017"

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  • Contract Automation Made Easy Icon
    Contract Automation Made Easy

    Use Docubee to easily gather data, generate contracts, share them your way, and collect secure eSignatures

    Docubee is an intelligent contract automation platform that allows you to quickly and painlessly generate, manage, share, and sign contracts. Featuring powerful conditional logic-based workflows, generative AI technology, and an easily adaptable interface, Docubee makes it easy to automate your most complex contracts and agreements.
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    ConnectWise Cybersecurity Management for MSPs

    Software and support solutions to protect your clients’ critical business assets

    ConnectWise SIEM (formerly Perch) offers threat detection and response backed by an in-house Security Operations Center (SOC). Defend against business email compromise, account takeovers, and see beyond your network traffic. Our team of threat analysts does all the tedium for you, eliminating the noise and sending only identified and verified treats to action on. Built with multi-tenancy, ConnectWise SIEM helps you keep clients safe with the best threat intel on the market.
  • 1
    Eisvogel

    Eisvogel

    A pandoc LaTeX template to convert markdown files to PDF or LaTeX

    A clean pandoc LaTeX template to convert your markdown files to PDF or LaTeX. It is designed for lecture notes and exercises with a focus on computer science. The template is compatible with Pandoc 3. Alternatively, if you don't want to install LaTeX, you can use the Docker image named pandoc/extra. The image contains pandoc, LaTeX, and a curated selection of components such as the eisvogel template, pandoc filters, and open source fonts.
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  • 2
    The PyPlot module for Julia

    The PyPlot module for Julia

    Plotting for Julia based on matplotlib.pyplot

    This module provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy). (See also PythonPlot.jl for a version of PyPlot.jl using the alternative PythonCall.jl package.) This package takes advantage of Julia's multimedia I/O API to display plots in any Julia graphical backend,...
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  • 3
    iroh

    iroh

    IPFS reimagined

    Iroh takes IPFS beyond the theoretical, to offer developers efficient infrastructure that scales data distribution past 10M devices. We have been working on and around IPFS nearly since its inception, and are starting out on a new implementation because we have unfinished business with IPFS. We believe the best days of the protocol are ahead, but to get there we need to ship an order-of-magnitude improvement that unlocks new platforms and use cases. We're building iroh to see just how far we...
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  • 4
    ydata-profiling

    ydata-profiling

    Create HTML profiling reports from pandas DataFrame objects

    ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.
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    The next chapter in business mental wellness

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  • 5
    Copulas

    Copulas

    A library to model multivariate data using copulas

    Copulas is a Python library for modeling multivariate distributions and sampling from them using copula functions. Given a table of numerical data, use Copulas to learn the distribution and generate new synthetic data following the same statistical properties. Choose from a variety of univariate distributions and copulas – including Archimedian Copulas, Gaussian Copulas and Vine Copulas. Compare real and synthetic data visually after building your model. Visualizations are available as 1D...
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  • 6
    Eclipse Jetty Canonical Repository

    Eclipse Jetty Canonical Repository

    Eclipse Jetty - Web Container & Clients - supports HTTP/2, HTTP

    Jetty provides a web server and servlet container, additionally providing support for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS and many other integrations. These components are open source and are freely available for commercial use and distribution. Jetty is used in a wide variety of projects and products, both in development and production. Jetty has long been loved by developers due to its long history of being easily embedded in devices, tools, frameworks, application servers, and modern...
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  • 7
    k3s in docker

    k3s in docker

    Little helper to run CNCF's k3s in Docker

    k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes. Note: k3d is a community-driven project but it’s not an official Rancher (SUSE) product. Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s cluster...
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  • 8
    PRoot

    PRoot

    Chroot, mount --bind, and binfmt_misc without privilege/setup

    ... for an example. Technically PRoot relies on ptrace, an unprivileged system-call available in every Linux kernel. The new root file-system, a.k.a guest rootfs, typically contains a Linux distribution. By default PRoot confines the execution of programs to the guest rootfs only, however, users can use the built-in mount/bind mechanism to access files and directories from the actual root file-system, a.k.a host rootfs, just as if they were part of the guest rootfs.
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  • 9
    cuDF

    cuDF

    GPU DataFrame Library

    ... with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
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    Small Business HR Management Software

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  • 10
    Keybase client

    Keybase client

    Keybase Go library, client, service, OS X, iOS, Android, Electron

    ... on your most sensitive messages. This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software.
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  • 11
    Electron Packager

    Electron Packager

    Customize and package your Electron app with OS-specific bundles

    Electron Packager is a command line tool and Node.js library that bundles Electron-based application source code with a renamed Electron executable and supporting files into folders ready for distribution. For creating distributables like installers and Linux packages, consider using either Electron Forge (which uses Electron Packager internally), or one of the related Electron tools, which utilizes Electron Packager-created folders as a basis. Note that packaged Electron applications can...
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  • 12
    Mixed-effects models in Julia

    Mixed-effects models in Julia

    A Julia package for fitting (statistical) mixed-effects models

    This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using...
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  • 13
    Boehm-Demers-Weiser Garbage Collector

    Boehm-Demers-Weiser Garbage Collector

    The Boehm-Demers-Weiser conservative C/C++ Garbage Collector

    The Boehm-Demers-Weiser conservative garbage collector can be used as a garbage collecting replacement for C malloc or C++ new. It allows you to allocate memory basically as you normally would, without explicitly deallocating memory that is no longer useful. The collector automatically recycles memory when it determines that it can no longer be otherwise accessed. The collector is also used by a number of programming language implementations that either use C as intermediate code, want to...
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  • 14
    Moby

    Moby

    Project for the container ecosystem to assemble containe-based systems

    ..., OS, container runtime, orchestration, infrastructure management, networking, storage, security, build, image distribution, etc. Tools to assemble the components into runnable artifacts for a variety of platforms and architectures: bare metal (both x86 and Arm); executables for Linux, Mac and Windows; VM images for popular cloud and virtualization providers.
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  • 15
    Streamline Analyst

    Streamline Analyst

    AI agent that streamlines the entire process of data analysis

    Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless.
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  • 16
    Kube-Hetzner

    Kube-Hetzner

    Optimized and Maintenance-free Kubernetes on Hetzner Cloud

    A highly optimized, easy-to-use, auto-upgradable, HA-default & Load-Balanced, Kubernetes cluster powered by k3s-on-MicroOS and deployed for peanuts on Hetzner Cloud. Hetzner Cloud is a good cloud provider that offers very affordable prices for cloud instances, with data center locations in both Europe and the US. This project aims to create a highly optimized Kubernetes installation that is easy to maintain, secure, and automatically upgrades both the nodes and Kubernetes. We aimed for...
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  • 17
    k0s

    k0s

    k0s - The Zero Friction Kubernetes

    k0s is an all-inclusive Kubernetes distribution, which is configured with all of the features needed to build a Kubernetes cluster and packaged as a single binary for ease of use. k0s fits well in any cloud environment, but can also be used in IoT gateways, Edge and Bare metal deployments due to its simple design, flexible deployment options and modest system requirements.
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  • 18
    Xorbits Inference

    Xorbits Inference

    Replace OpenAI GPT with another LLM in your app

    Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. Xorbits Inference(Xinference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. With Xorbits...
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  • 19
    Mailu

    Mailu

    Insular email distribution - mail server as Docker images

    Mailu is a simple yet full-featured mail server as a set of Docker images. It is free software (both as in free beer and as in free speech), open to suggestions and external contributions. The project aims at providing people with an easily setup, easily maintained and full-featured mail server while not shipping proprietary software nor unrelated features often found in popular groupware. Security, enforced TLS, DANE, MTA-STS, Letsencrypt!, outgoing DKIM, anti-virus scanner, Snuffleupagus,...
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  • 20
    Hyperledger FireFly

    Hyperledger FireFly

    Hyperledger FireFly is the first open source Supernode

    ... distribution layer and private database. So if there aren't yet instructions for making FireFly a Supernode for your favorite blockchain technology - don't worry. There is almost certainly a straightforward path to plugging it in that will save you from re-building all the plumbing for your blockchain application from scratch.
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  • 21
    Project Lotus

    Project Lotus

    Reference implementation of the Filecoin protocol, written in Go

    Lotus is the reference implementation for the Filecoin network. It is written in Go, and is maintained by the Protocol Labs team. This website contains all the information you need to spin up a Lotus node, become a Filecoin storage provider, or just tinker around with the Filecoin network! Filecoin is a network of computers that allows you to store your data online. But while online storage services aren't anything new, Filecoin is different. It doesn't use centralized servers to store your...
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  • 22
    whylogs

    whylogs

    The open standard for data logging

    whylogs is an open-source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond simple...
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  • 23
    iRODS

    iRODS

    Open Source Data Management Software

    The Integrated Rule-Oriented Data System (iRODS) is open-source data management software used by research, commercial, and governmental organizations worldwide. iRODS is released as a production-level distribution aimed at deployment in mission-critical environments. It virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored. The development infrastructure supports exhaustive testing on supported platforms; plugin...
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  • 24
    Cleanlab

    Cleanlab

    The standard data-centric AI package for data quality and ML

    cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...
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  • 25
    Twinify

    Twinify

    Privacy-preserving generation of a synthetic twin to a data set

    twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI)....
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