Showing 93 open source projects for "build-updates"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery turns your data warehouse into an AI platform. No new languages required.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • Go From Idea to Deployed AI App Fast Icon
    Go From Idea to Deployed AI App Fast

    One platform to build, fine-tune, and deploy. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
    Try Free
  • 1
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. ...
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  • 2
    Amazon Braket Strawberry Fields Plugin

    Amazon Braket Strawberry Fields Plugin

    An open source framework for using Amazon Braket devices

    An open-source framework for using Amazon Braket devices with the Strawberry Fields photonic device programming library. This plugin provides a BraketEngine class for running photonic quantum circuits created in Strawberry Fields on the Amazon Braket service. The Amazon Braket Python SDK is an open source library that provides a framework to interact with quantum computing hardware devices and simulators through Amazon Braket. This plugin provides the classes BraketEngine for submitting...
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  • 3
    ProxyPool

    ProxyPool

    An Efficient ProxyPool with Getter, Tester and Server

    ...Regular testing and screening to eliminate unavailable proxies and leave available proxies. Provides a proxy API to randomly select available proxies that pass the test. The principle analysis of the proxy pool can be seen in " How to Build an Efficient Proxy Pool ". It is recommended to read it before using it. There are two ways to run the proxy pool, one is using Docker (recommended), and the other is the normal way.
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  • 4
    Neomake

    Neomake

    Asynchronous linting and make framework for Neovim/Vim

    Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually).
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  • Catch Bugs Before Your Customers Do Icon
    Catch Bugs Before Your Customers Do

    Real-time error alerts, performance insights, and anomaly detection across your full stack. Free 30-day trial.

    Move from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
    Try AppSignal Free
  • 5
    UnionML

    UnionML

    Build and deploy machine learning microservices

    Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine...
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  • 6

    gr-message_to_serial

    GNURADIO OOT block

    Block that receives a " message" and send string values over serial connection, to control hardware devices ( switch ), for example, via Arduino based controller ( see https://sourceforge.net/projects/ardu-switch/ ) Prerequisite: pyserial Build as usual for a Gnuradio block: - download and unpack - cd gr-message_to serial - mkdir build && cd build - cmake .. && make - sudo make install && ldconfig If successful this block is into OOT section... Enjoy ;-)
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  • 7
    Blankly

    Blankly

    Easily build, backtest and deploy your algo in just a few lines

    ​Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable...
    Downloads: 1 This Week
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  • 8
    Raiden Network

    Raiden Network

    Raiden Network

    ...While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless the technicalities can be abstracted away, such that developers can interface with a rather simple API to build scalable decentralized applications based on the Raiden Network. The Raiden Network is an off-chain scaling solution, enabling near-instant, low-fee and scalable payments. It's complementary to the Ethereum Blockchain and works with any ERC20 compatible token. The Raiden project is work in progress.
    Downloads: 0 This Week
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  • 9
    Nameko

    Nameko

    Python framework for building microservices

    ...Nameko gives you effortless concurrency by yielding workers when they wait for I/O, leaving you free to handle many requests without the worry of threading. Nameko is compatible with almost any protocol, transport or database. Simply use the built-in extensions, build your own or leverage the community. Nameko includes an implementation of RPC over AMQP. It comprises the @rpc entry point, a proxy for services to talk to other services, and a standalone proxy that non-Nameko clients can use to make RPC calls to a cluster. The HTTP entry point is built on top of werkzeug, and supports all the standard HTTP methods (GET/POST/DELETE/PUT etc).
    Downloads: 0 This Week
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  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
    Try Retool free
  • 10
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ...The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. ...
    Downloads: 0 This Week
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  • 11
    molten

    molten

    A minimal, extensible, fast and productive framework

    molten is a minimal, extensible, fast and productive framework for building HTTP APIs with Python. molten can automatically validate requests according to predefined schemas, ensuring that your handlers only ever run if given valid input. Schemas are PEP484-compatible, which means mypy and molten go hand-in-hand, making your code more easy to maintain. Schema instances are automatically serializable and you can pick and choose which fields to exclude from responses and requests. Write clean,...
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  • 12
    HyperGAN

    HyperGAN

    Composable GAN framework with api and user interface

    A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with...
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  • 13
    PyText

    PyText

    A natural language modeling framework based on PyTorch

    PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly...
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  • 14
    Kopf

    Kopf

    A Python framework to write Kubernetes operators

    Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).
    Downloads: 0 This Week
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  • 15
    Zappa

    Zappa

    Serverless Python

    Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in.
    Downloads: 0 This Week
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  • 16
    setupjavax

    setupjavax

    Provides Java and integrated Jython/Pyhon + Java builds

    The ‘setupjavax‘ package provides extension modules for the build of Java and Jython packages. The current release supports the following commands, additional are coming soon: - build_java - Java build and packaging for Python. Supports Java packaging for Python projects, adds native Java modules for Jython. - build_jy - Integrated Python and Java builds for Jython. Supports combined Java and Python / Jython packaging.
    Downloads: 0 This Week
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  • 17
    Rasa Core

    Rasa Core

    Rasa Core is now part of the Rasa repo

    Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way.
    Downloads: 0 This Week
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  • 18
    django-rest-auth

    django-rest-auth

    This app makes it extremely easy to build Django powered SPA's

    This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication-related functionality as CBV's (Class Base View) and REST (JSON). Tivix rebuilt a NATO software system to organize and coordinate rescue missions for submarines in distress across the globe. The United Nations Partner Portal (UNPP) is a web application built for a group of UN agencies to simplify their business processes and streamline collaboration with Civil Society Organizations. ...
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  • 19
    X-JHBuild is a framework for working with multiple repositories. It makes use of JHBuild and is specialized for working with modules that use Git as VCS.
    Downloads: 0 This Week
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  • 20
    ShadowSocksShare

    ShadowSocksShare

    Python ShadowSocks framework

    ...Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code.
    Downloads: 0 This Week
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  • 21
    django-dynamic-scraper

    django-dynamic-scraper

    Creating Scrapy scrapers via the Django admin interface

    Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project.
    Downloads: 0 This Week
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  • 22
    Wally

    Wally

    Distributed Stream Processing

    ...Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). ...
    Downloads: 1 This Week
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  • 23
    Bowtie

    Bowtie

    Create a dashboard with python!

    ...I encourage you to try it out and share feedback. I hope this will make it easier to make Bowtie apps. Bowtie helps you visualize your data interactively. No Javascript required, you build your dashboard in pure Python. Easy to deploy so you can share results with others. Ships with many useful widgets including charts, tables, dropdown menus, sliders, and markdown. All widgets come equipped with events and commands for interaction. Compiles a single Javascript bundle speeding up load times and removes CDN dependencies.
    Downloads: 0 This Week
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  • 24
    fooltrader

    fooltrader

    Quant framework for stock

    Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. ...
    Downloads: 0 This Week
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  • 25
    Flask JSONDash

    Flask JSONDash

    Build complex dashboards without any front-end code

    Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go. This project is a flask blueprint that allows you to create sleek dashboards without writing any front-end (or backend) code. Everything is powered through simple JSON configurations for declaring arbitrary charts.
    Downloads: 0 This Week
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