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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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    Secure File Transfer for Windows with Cerberus by Redwood

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  • 1
    pyserde

    pyserde

    Yet another serialization library on top of dataclasses

    Yet another serialization library on top of data classes, inspired by serde-rs. Declare a class with pyserde's @serde decorator.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Mercury Browser

    Mercury Browser

    Privacy-focused web browser fork of Firefox

    ...With features derived from projects like LibreWolf, Waterfox, and Ghostery, Mercury disables telemetry and debugging elements by default, ensuring a more private browsing experience. It also includes usability patches that bring back features like the classic top bar and supports unsigned extensions for added flexibility. Mercury is tailored for users prioritizing speed and privacy and is available for both Linux and Windows​.
    Downloads: 51 This Week
    Last Update:
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  • 3
    Amulet Map Editor

    Amulet Map Editor

    A new Minecraft world editor and converter

    ...Amulet is a Minecraft world editor built from the ground up with the lessons learnt from previous editors in mind. The program works natively with the block state format introduced in 1.13 which enables editing of all world formats. Amulet is built on top of a world converter that converts all world data into a custom superset format. This means that all worlds can be modified in the same way rather than having custom logic for each world format. Amulet comes with a built-in world converter that can be used to convert any world Amulet can open into any other world Amulet can open.
    Downloads: 554 This Week
    Last Update:
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  • 4
    fugue

    fugue

    A unified interface for distributed computing

    Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites.
    Downloads: 5 This Week
    Last Update:
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 5
    Ibis

    Ibis

    Expressive analytics in Python at any scale

    ...Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. All tables in Ibis are immutable. To select a subset of a table's columns, or to add new columns, you must produce a new table by means of a projection. If you pass a function instead of a string or Ibis expression in any projection context, it will be invoked with the "parent" table as its argument. ...
    Downloads: 6 This Week
    Last Update:
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  • 6
    Slack Machine

    Slack Machine

    A simple, yet powerful and extendable Slack bot

    Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this:
    Downloads: 4 This Week
    Last Update:
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  • 7
    OpenCLIP

    OpenCLIP

    An open source implementation of CLIP

    ...Our starting point is an implementation of CLIP that matches the accuracy of the original CLIP models when trained on the same dataset. Specifically, a ResNet-50 model trained with our codebase on OpenAI's 15 million image subset of YFCC achieves 32.7% top-1 accuracy on ImageNet. OpenAI's CLIP model reaches 31.3% when trained on the same subset of YFCC. For ease of experimentation, we also provide code for training on the 3 million images in the Conceptual Captions dataset, where a ResNet-50x4 trained with our codebase reaches 22.2% top-1 ImageNet accuracy. This codebase is work in progress, and we invite all to contribute in making it more accessible and useful. ...
    Downloads: 6 This Week
    Last Update:
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  • 8
    AWX

    AWX

    A web-based user interface built on top of Ansible

    AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform. Starting in version 18.0, the AWX Operator is the preferred way to install AWX. AWX can also alternatively be installed and run in Docker, but this install path is only recommended for development/test-oriented deployments, and has no official published release.
    Downloads: 7 This Week
    Last Update:
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  • 9
    Letterboxd Recommendations

    Letterboxd Recommendations

    Scraping publicly-accessible Letterboxd data for movie recommendations

    ...A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone.
    Downloads: 0 This Week
    Last Update:
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  • 10
    Django jazzmin

    Django jazzmin

    Jazzy theme for Django

    ...Search bar for any given model admin. Customizable UI (via Live UI changes, or custom CSS/JS). Select2 drop-downs. Bootstrap 4 & AdminLTE UI components. You can add links to the user menu on the top right of the screen using the "usermenu_links" settings key, the format of these links is the same as with top menu, though submenus via "app" are not currently supported and will not be rendered. The side menu gets a list of all installed apps and their models that have admin classes, and creates a tree of apps and links to model admin pages.
    Downloads: 2 This Week
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  • 11
    EvoTorch

    EvoTorch

    Advanced evolutionary computation library built on top of PyTorch

    EvoTorch is an evolutionary optimization framework built on top of PyTorch, developed by NNAISENSE. It is designed for large-scale optimization problems, particularly those that require evolutionary algorithms rather than gradient-based methods.
    Downloads: 0 This Week
    Last Update:
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  • 12
    Infinity

    Infinity

    Low-latency REST API for serving text-embeddings

    Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. Infinity is developed under MIT License. Infinity powers inference behind Gradient.ai and other Embedding API providers.
    Downloads: 3 This Week
    Last Update:
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  • 13
    Zeep

    Zeep

    A Python SOAP client

    A fast and modern Python SOAP client. Compatible with Python 3.7, 3.8, 3.9, 3.10, 3.11, and PyPy. Build on top of lxml and requests. Support for Soap 1.1, Soap 1.2 and HTTP bindings. Support for WS-Addressing headers. Support for WSSE (UserNameToken / x.509 signing) Support for asyncio via httpx. Experimental support for XOP messages. Zeep inspects the WSDL document and generates the corresponding code to use the services and types in the document.
    Downloads: 3 This Week
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  • 14
    Django Two-Factor Authentication

    Django Two-Factor Authentication

    Complete Two-Factor Authentication for Django

    Complete Two-Factor Authentication for Django. Built on top of the one-time password framework django-otp and Django's built-in authentication framework django.contrib.auth for providing the easiest integration into most Django projects. Inspired by the user experience of Google's Two-Step Authentication, allowing users to authenticate through call, text messages (SMS), by using a token generator app like Google Authenticator or a YubiKey hardware token generator (optional).
    Downloads: 3 This Week
    Last Update:
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  • 15
    WhisperX

    WhisperX

    Automatic Speech Recognition with Word-level Timestamps

    WhisperX is an advanced speech recognition system built on top of OpenAI’s Whisper model, designed to improve transcription accuracy and timing precision for long-form audio. It addresses key limitations of standard Whisper implementations by introducing voice activity detection and forced alignment techniques to produce word-level timestamps. The system enables batched inference, significantly increasing transcription speed while maintaining high accuracy.
    Downloads: 35 This Week
    Last Update:
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  • 16
    GraphRAG

    GraphRAG

    A modular graph-based Retrieval-Augmented Generation (RAG) system

    The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
    Downloads: 3 This Week
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  • 17
    Evidently

    Evidently

    Evaluate and monitor ML models from validation to production

    Evidently is an open-source Python library for data scientists and ML engineers. It helps evaluate, test, and monitor ML models from validation to production. It works with tabular, text data and embeddings.
    Downloads: 5 This Week
    Last Update:
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  • 18
    PyMC

    PyMC

    Bayesian Modeling and Probabilistic Programming in Python

    PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.
    Downloads: 7 This Week
    Last Update:
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  • 19
    CRUFT

    CRUFT

    Allows you to maintain all the necessary cruft for building projects

    cruft allows you to maintain all the necessary boilerplate for packaging and building projects separate from the code you intentionally write. Fully compatible with existing Cookiecutter templates. Cruft is a tool built on top of CookieCutter that helps maintain the boilerplate code for packaging and building projects separately from the intentional code. It ensures that projects remain up-to-date with their templates.
    Downloads: 5 This Week
    Last Update:
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  • 20
    NGBoost

    NGBoost

    Natural Gradient Boosting for Probabilistic Prediction

    ngboost is a Python library that implements Natural Gradient Boosting, as described in "NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top of Scikit-Learn and is designed to be scalable and modular with respect to the choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in this slide deck.
    Downloads: 5 This Week
    Last Update:
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  • 21
    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.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 22
    ursina

    ursina

    A game engine powered by python and panda3d

    ursina is an easy-to-use, open source game engine and framework for Python that is built on top of Panda3D, aiming to make game development approachable while still being powerful enough for real projects. It lets you create both 2D and 3D games, applications, and visualizations by writing concise Python scripts instead of dealing with a lot of low-level boilerplate. The engine is centered around an Entity-based architecture, where everything in the scene is an object you can easily configure and manipulate from code. ...
    Downloads: 37 This Week
    Last Update:
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  • 23
    Connexion

    Connexion

    Swagger/OpenAPI First framework for Python on top of Flask

    Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code.
    Downloads: 6 This Week
    Last Update:
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  • 24
    SuperDuperDB

    SuperDuperDB

    Integrate, train and manage any AI models and APIs with your database

    ...A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing.
    Downloads: 2 This Week
    Last Update:
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  • 25
    Librosa

    Librosa

    Python library for audio and music analysis

    Librosa is a powerful Python library for analyzing and processing audio and music signals. Built on top of NumPy, SciPy, and matplotlib, it provides a wide range of tools for feature extraction, time-series manipulation, audio display, and music information retrieval. Whether you're building machine learning models for audio classification or visualizing spectrograms, Librosa is a go-to library for researchers and developers working in audio signal processing.
    Downloads: 6 This Week
    Last Update:
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