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  • 1
    MediaManager

    MediaManager

    A modern selfhosted media management system for your media library

    MediaManager is a modern, self-hosted media management system that unifies and replaces the traditional “ARR” stack with a single, cohesive platform for discovering, organizing, and automating TV and movie libraries. Rather than relying on separate tools patched together, MediaManager offers a streamlined interface and workflow where media metadata, collection insights, and automation policies live side-by-side in one system. It is designed for ease of deployment with Docker, supports standardized metadata sources such as TMDB and TVDB, and integrates OAuth/OIDC for secure authentication. Users can browse, search, and manage their media with a responsive web frontend while developers benefit from a clean codebase that uses Python and modern web technologies. Its holistic approach toward acquisition, tracking, and library maintenance reduces duplication, improves media discovery workflows, and simplifies long-term management of large media collections.
    Downloads: 5 This Week
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  • 2
    Metaflow

    Metaflow

    A framework for real-life data science

    Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
    Downloads: 5 This Week
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  • 3
    Moment.js

    Moment.js

    Parse, validate, manipulate, and display dates in javascript

    Moment is a JavaScript date and time library that simplifies parsing, formatting, arithmetic, and humanizing of dates. It supports many formats in input and output, internationalization (i18n), locale-based month/day names, relative time (for example, “3 days ago”), and chaining of operations (adding, subtracting, diffing). Developers often use it for calendar displays, scheduling, and manipulating times across time zones or daylight saving transitions. While it makes working with date strings convenient, moment maintains internal mutability, which has trade-offs with safety and chainability. Over time, newer alternatives with immutable and modular designs have emerged, but moment remains widely known and integrated in many legacy projects. Its comprehensive feature set and ease of use made it a standard for date-time handling in JavaScript for many years.
    Downloads: 5 This Week
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  • 4
    Monix

    Monix

    Asynchronous, Reactive Programming for Scala and Scala.js

    Monix is a high-performance, reactive, and asynchronous programming library for Scala and Scala.js. Built as a Typelevel project, it provides advanced abstractions like Task, Observable, Iterant, and Coeval, enabling compositional, back-pressure‑aware event-driven systems that integrate cleanly with Cats Effect and Reactive Streams.
    Downloads: 5 This Week
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  • 5
    Movies for Hackers

    Movies for Hackers

    A curated list of movies every hacker & cyberpunk must watch

    Movies For Hackers is a community-curated collection of films and TV shows selected for people interested in hacking, cyberpunk culture, and tech-driven stories. The list groups entries by genre—thrillers, science fiction, action, documentaries—and includes year, genre, and IMDb ratings so readers can quickly compare titles. It provides both a readable README and a sortable web view for browsing the collection more easily. The repository also includes guidance for contributors and a small script to help work with the list, encouraging community additions and updates under a CC0-1.0 license. The selection highlights movies that explore themes of security, privacy, code, networks, and the social impact of technology, useful for entertainment and cultural context for technologists. Because it’s a plain-text, cross-platform resource, anyone can fork the list, propose additions, or reuse the dataset in their own tooling.
    Downloads: 5 This Week
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  • 6
    Nuklear

    Nuklear

    A single-header ANSI C gui library

    Nuklear is an open source minimal-state, immediate-mode graphical user interface (GUI) toolkit written in ANSI C. It is designed to be lightweight, portable, and self-contained, requiring no external dependencies. The library is easy to integrate into existing applications by including a single header file, making it popular for game development, prototypes, and embedded systems. Nuklear supports a variety of UI elements such as windows, buttons, sliders, and text inputs, with customizable styling for flexibility. Its immediate-mode design emphasizes simplicity and low memory usage, enabling developers to create responsive interfaces with minimal overhead. As a public domain project, Nuklear is widely adopted in both professional and hobbyist projects for quick GUI development.
    Downloads: 5 This Week
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  • 7
    Open HTML to PDF

    Open HTML to PDF

    An HTML to PDF library for the JVM

    Open HTML to PDF is a pure-Java library for rendering a reasonable subset of well-formed XML/XHTML (and even some HTML5) using CSS 2.1 (and later standards) for layout and formatting, outputting to PDF or images. Use this library to generated nice looking PDF documents. But be aware that you can not throw modern HTML5+ at this engine and expect a great result. You must special craft the HTML document for this library and use it's extended CSS feature like #31 or #32 to get good results. Avoid floats near page breaks and use table layouts.
    Downloads: 5 This Week
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  • 8
    OpenAPI-TS

    OpenAPI-TS

    The OpenAPI to TypeScript codegen. Generate clients, SDKs, validators

    A TypeScript utility for generating and manipulating OpenAPI definitions, making it easier to work with API schemas in TypeScript projects.
    Downloads: 5 This Week
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  • 9
    OpenBLAS

    OpenBLAS

    Optimized BLAS library based on GotoBLAS2 1.13 BSD version

    OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS performs scalar, vector and vector-vector operations, the Level 2 BLAS performs matrix-vector operations, and the Level 3 BLAS performs matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the development of high-quality linear algebra software, LAPACK for example. The reference BLAS is included inside the LAPACK package. Please refer to tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc. Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor.
    Downloads: 5 This Week
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    99.99% Uptime for MySQL and PostgreSQL on Google Cloud

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  • 10
    OpenLayers

    OpenLayers

    A high-performance, feature-packed library for all your mapping needs

    OpenLayers makes it easy to put a dynamic map in any web page. It can display map tiles, vector data and markers loaded from any source. OpenLayers has been developed to further the use of geographic information of all kinds. It is completely free, Open Source JavaScript, released under the 2-clause BSD License (also known as the FreeBSD). Pull tiles from OSM, Bing, MapBox, Stamen, and any other XYZ source you can find. OGC mapping services and untiled layers also supported. Render vector data from GeoJSON, TopoJSON, KML, GML, Mapbox vector tiles, and other formats. Leverages Canvas 2D, WebGL, and all the latest greatness from HTML5. Mobile support out of the box. Build lightweight custom profiles with just the components you need. Style your map controls with straight-forward CSS. Hook into different levels of the API or use 3rd party libraries to customize and extend functionality.
    Downloads: 5 This Week
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  • 11
    PhotoEditor

    PhotoEditor

    A Photo Editor library with simple, easy support for image editing

    A Photo Editor library with simple, easy support for image editing using Paints, Text, Filters, Emoji and Sticker like stories. Drawing on the image with the option to change its Brush's Color, Size, Opacity, Erasing and basic shapes. Apply Filter Effect on the image using MediaEffect. Adding/Editing Text with the option to change its Color with Custom Fonts. Adding Emoji with Custom Emoji Fonts. Adding Images/Stickers. Pinch to Scale and Rotate views. Undo and Redo for Brush and Views. Deleting Views. Saving Photo after editing. More FAQ. PhotoEditor v.1.0.0 is a migration to androidX and dropping the support of the older support library. There are no API changes. If you find any issues migrating to v.1.0.0, please follow this Guide. If you still facing the issue then you can always rollback to v.0.4.0.
    Downloads: 5 This Week
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  • 12
    PixiJS

    PixiJS

    The HTML5 Creation Engine

    PixiJS is a fast and lightweight 2D rendering library that lets you create rich, interactive graphics, cross platform applications, and HTML5 games even without prior knowledge of WebGL. It’s a fantastic tool for creating rich, interactive content and with built-in cross platform compatibility and graceful degradation, there’s less work for you and more space for fun and creativity! PixiJS works across all devices and is incredibly fast. If you want to create exceptional experiences without having to deal with dense, low level code, browser inconsistencies, WebGL API or device compatibility, PixiJS is for you! See some great examples and creations made with PixiJS in the official website: https://www.pixijs.com/
    Downloads: 5 This Week
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  • 13
    PreCompose

    PreCompose

    Compose Multiplatform Navigation && State Management

    Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project.
    Downloads: 5 This Week
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  • 14
    ProbabilisticCircuits.jl

    ProbabilisticCircuits.jl

    Probabilistic Circuits from the Juice library

    This module provides a Julia implementation of Probabilistic Circuits (PCs), tools to learn structure and parameters of PCs from data, and tools to do tractable exact inference with them. Probabilistic Circuits provides a unifying framework for several family of tractable probabilistic models. PCs are represented as computational graphs that define a joint probability distribution as recursive mixtures (sum units) and factorizations (product units) of simpler distributions (input units). Given certain structural properties, PCs enable different range of tractable exact probabilistic queries such as computing marginals, conditionals, maximum a posteriori (MAP), and more advanced probabilistic queries.
    Downloads: 5 This Week
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  • 15
    Pusher Channels Javascript Client

    Pusher Channels Javascript Client

    Pusher Javascript library

    Bi-directional hosted APIs that are flexible, scalable and easy to use. We create and maintain complex messaging infrastructure so you can build the realtime features your users need, fast.
    Downloads: 5 This Week
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  • 16
    PyQuil

    PyQuil

    A Python library for quantum programming using Quil

    PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK.
    Downloads: 5 This Week
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  • 17
    Pyro

    Pyro

    Deep universal probabilistic programming with Python and PyTorch

    Pyro is a flexible, universal probabilistic programming language (PPL) built on PyTorch. It allows for expressive deep probabilistic modeling, combining the best of modern deep learning and Bayesian modeling. Pyro is centered on four main principles: Universal, Scalable, Minimal and Flexible. Pyro is universal in that it can represent any computable probability distribution. It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable abstractions that make it both agile and maintainable. Lastly, Pyro gives you the flexibility of automation when you want it, and control when you need it.
    Downloads: 5 This Week
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  • 18
    RSocket

    RSocket

    Java implementation of RSocket

    Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at cost to performance and latency. If you want to use zero copy you must disable this. To disable copying you must include a payloadDecoder argument in your RSocketFactory. This will let you manage the Payload without copying the data from the underlying transport. You must free the Payload when you are done with them or you will get a memory leak. Used correctly this will reduce latency and increase performance.
    Downloads: 5 This Week
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  • 19
    Replica Dataset

    Replica Dataset

    High-fidelity indoor 3D dataset for AI simulation and robotics

    Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes.
    Downloads: 5 This Week
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  • 20
    RetroLab

    RetroLab

    JupyterLab distribution with a retro look and feel

    RetroLab (also known as JupyterLab Retro, previously called JupyterLab Classic) is a JupyterLab distribution with a retro look and feel, more similar to the classic Jupyter notebook.
    Downloads: 5 This Week
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  • 21
    SENAITE LIMS

    SENAITE LIMS

    SENAITE Meta Package

    SENAITE is a beautiful trigonal, oil-green to greenish-black crystal, with almost the hardness of a diamond. Although the crystal is described with a complex formula, it still has clear and straight shapes. Therefore, it reflects nicely the complexity of the LIMS, while providing a modern, intuitive, and friendly UI/ UX. Amongst other functionalities, SENAITE comes with highly-customizable workflows to drive users through the analytical process, easy-to-use UI for data registration, automatic import of results, data validation, and transition constraints. SENAITE can be easily integrated with instruments by using off-the-shell interfaces for data import and export. Custom interfacing is supported too. Import instrument results and avoid human errors in the carrying-over process. Reduce the turnaround time on results report delivery. Assign priorities to samples and due dates for tests, plan and assign the daily work by using worksheets, and keep track of delayed tests immediately.
    Downloads: 5 This Week
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  • 22
    SVoice (Speech Voice Separation)

    SVoice (Speech Voice Separation)

    We provide a PyTorch implementation of the paper Voice Separation

    SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. The repository includes all necessary scripts for training, dataset preparation, distributed training, evaluation, and audio separation.
    Downloads: 5 This Week
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  • 23
    Spire

    Spire

    Powerful new number types and numeric abstractions for Scala

    Spire is a numeric and algebraic library for Scala, offering type-safe, generic, and high-precision arithmetic. It introduces abstractions like Rings, Fields, and Rationals and supports specialized number types (e.g. Rational, Complex, Interval), macros, and seamless integration with Cats for abstract numeric programming.
    Downloads: 5 This Week
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  • 24
    Stock prediction deep neural learning

    Stock prediction deep neural learning

    Predicting stock prices using a TensorFlow LSTM

    Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock prices is a complex task, as it is influenced by various factors such as market trends, political events, and economic indicators. The fluctuations in stock prices are driven by the forces of supply and demand, which can be unpredictable at times. To identify patterns and trends in stock prices, deep learning techniques can be used for machine learning. Long short-term memory (LSTM) is a type of recurrent neural network (RNN) that is specifically designed for sequence modeling and prediction.
    Downloads: 5 This Week
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  • 25
    Strawberry GraphQL

    Strawberry GraphQL

    A GraphQL library for Python that leverages type annotations

    Python GraphQL library based on dataclasses. Strawberry's friendly API allows to create GraphQL API rather quickly, the debug server makes it easy to quickly test and debug. Django and ASGI support allow having your API deployed in production in a matter of minutes. The quick start method provides a server and CLI to get going quickly. Strawberry comes with a mypy plugin that enables statically type-checking your GraphQL schema. A Django view is provided for adding a GraphQL endpoint to your application. To support graphql Subscriptions over WebSockets you need to provide a WebSocket enabled server. Create a GraphQL schema defining a User type and a single query field user that will return a hardcoded user.
    Downloads: 5 This Week
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