Showing 7 open source projects for "virtual-machine"

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  • 1
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,...
    Downloads: 7 This Week
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  • 2
    quick-xml

    quick-xml

    Rust high performance xml reader and writer

    High-performance xml pull reader/writer. The reader is almost zero-copy (use of Cow whenever possible) It is easy on memory allocation (the API provides a way to reuse buffers) It supports various encoding (with encoding feature), namespaces resolution, and special characters. Syntax is inspired by xml-rs. When using the serialize feature, quick-xml can be used with serde's Serialize/Deserialize traits. The mapping between XML and Rust types, and in particular the syntax that allows you to...
    Downloads: 6 This Week
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  • 3
    Nokogiri

    Nokogiri

    Tool to work with XML and HTML from Ruby

    ...Be a thin-as-reasonable layer on top of the underlying parsers, and don't attempt to fix behavioral differences between the parsers. "Native gems" contain pre-compiled libraries for a specific machine architecture. On supported platforms, this removes the need for compiling the C extension and the packaged libraries, or for system dependencies to exist. This results in much faster installation and more reliable installation, which as you probably know are the biggest headaches for Nokogiri users.
    Downloads: 7 This Week
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  • 4
    hyperx

    hyperx

    Tagged template string virtual dom builder

    tagged template string virtual dom builder. This module is similar to JSX, but provided as a standards-compliant ES6 tagged template string function. hyperx works with virtual-dom, react, hyperscript, or any DOM builder with a hyperscript-style API: h(tagName, attrs, children). You might also want to check out the hyperxify browserify transform to statically compile hyperx into javascript expressions to save sending the hyperx parser down the wire.
    Downloads: 0 This Week
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  • Auth0 B2B Essentials: SSO, MFA, and RBAC Built In Icon
    Auth0 B2B Essentials: SSO, MFA, and RBAC Built In

    Unlimited organizations, 3 enterprise SSO connections, role-based access control, and pro MFA included. Dev and prod tenants out of the box.

    Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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  • 5
    Myrtille

    Myrtille

    A native HTML4 / HTML5 Remote Desktop Protocol and SSH client

    Myrtille provides simple and fast access to remote desktops, applications, and SSH servers through a web browser, without any plugin, extension or configuration. Technically, Myrtille is an HTTP(S) to RDP and SSH gateway. User input (keyboard, mouse, touchscreen) is forwarded from a web browser to an HTTP(S) gateway, then up to an RDP (or SSH) client which maintains a session with an RDP (or SSH) server. The display resulting (or not) of such actions is streamed back to the browser, from the...
    Downloads: 0 This Week
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  • 6
    unfluff

    unfluff

    Automatically extract body content (and other cool stuff) from HTML

    unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. ...
    Downloads: 0 This Week
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  • 7
    DeepLearningProject

    DeepLearningProject

    An in-depth machine learning tutorial

    This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made.
    Downloads: 0 This Week
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