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Showing 17 open source projects for "component"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Selkies-GStreamer
Open-Source Low-Latency Accelerated Linux WebRTC HTML5 Remote Desktop
...This component plays a critical role in delivering smooth, responsive experiences for cloud-based workstations, gaming, or visualization tools. -
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Nautobot
Network Source of Truth & Network Automation Platform
...Initially built as a fork of NetBox, Nautobot extends its capabilities by offering flexible data modeling, powerful REST and GraphQL APIs, and built-in automation tools. It enables network engineers and operators to store, query, and integrate network infrastructure data with external systems, making it a key component in modern network automation workflows. With support for plugins and extensibility, Nautobot is used by enterprises to manage IP addresses, devices, circuits, and other networking components while integrating with automation tools like Ansible, Terraform, and custom Python scripts. -
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LX Linux
A light version of Debian with minimal installed using LXDE.
LX Linux is a distro based on Debian using LXDE as DE with some customization. The installation process uses Calamares. Recommended for very old machines, like 15 years old or more. live password: live Come with some extra repositories to install 3rd part packages (optional). - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test... -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
...Add Trials to an Experiment that you wish to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc. -
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
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HelenOS
A microkernel-based multiserver operating system written from scratch.
...It decomposes key operating system functionality such as file systems, networking, device drivers and graphical user interface into a collection of fine-grained user space components that interact with each other via message passing. A failure or crash of one component does not directly harm others. HelenOS is therefore flexible, modular, extensible, fault tolerant and easy to understand. HelenOS does not aim to be a clone of any existing operating system and trades compatibility with legacy APIs for cleaner design. Most of HelenOS components have been made to order specifically for HelenOS so that its essential parts can stay free of adaptation layers, glue code, franken-components and the maintenance burden incurred by them. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
DockStream is a docking wrapper providing access to a collection of ligand embedders and docking backends. Docking execution and post hoc analysis can be automated via the benchmarking and analysis workflow. The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one... -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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pyspider
A powerful Spider(Web Crawler) system in Python
...Or using MySQL or MongoDB and RabbitMQ to deploy a distributed crawl cluster. To deploy pyspider in product environment, running component in each process and store data in database service is more reliable and flexible. To deploy pyspider components in each single processes, you need at least one database service. pyspider now supports MySQL, MongoDB and PostgreSQL. You can choose one of them. -
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Jarvis Home Automation
Home automation with wake word detection and SMS commands.
Jarvis is a Home Assistant (https://home-assistant.io/) implementation with wake word detection, SMS commands, and a lot of automation control. While the Conversation component does it's job, it's currently a bit limited and without wake word detection it was almost useless to me. I also have tried the AlexaPi implementation as well as using Amazon Alexa products. However, creating custom intents was not as straight forward as I would have liked for quick and easy creation. Between wake word and API.AI for speech handling, it appears to work rather well. -
AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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A dynamic, extensible XML-RPC server framework with a builtin scheduling engine. Ideal as a core component for n-tier platforms which require a stable XMLRPCServer.
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Debox GNU/Linux Live CD
Debox Linux is a live distro based on Debian distribution and Openbox
...Also, a plenty of printers, scanners, bluethooth, web cams, digital tv, fax are supported by default. Different from the majority of the distributions, the Debox desktop environment does not tightly integrate every component but use various programs and tweaks that give the final result. Debox Live CD is full persistence capable so you can store your favorite data on hard disk/USB stick. Debox Live CD can run in old computers that have more of 256MB of Ram whith a 700MHz CPU (but strongly advised 2GB of Ram and unleast 2Ghz CPU) -
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The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.
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py_xdb_auth is a small but robust jabber-component based on twisted to authenticate jabber users against ldap. It is written for jabberd 1.4 and based on twisted and python-ldap.
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This library allows you to control a PMS (Particle Measuring Systems) Lasair II air particles counter. You can either use a COM component from several programming languages (Visual Basic, ...) or directly use its underlying Python class.
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Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
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The MP4Free project provides a simulation, analysis and exploration platform for multi-processor system-on-chip applications at variable level of abstraction, providing also a comprehensive component library.
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J-Sim (previously known as JavaSim) is a component-based, compositional simulation environment written in Java. It is built upon the autonomous component architecture (ACA), a component architecture at the implementation level.
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