Search Results for "sandbox:/mnt/data/project_plan.pod"
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682 projects for "sandbox:/mnt/data/project_plan.pod" with 2 filters applied:
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Software for managing apps and accounts | WebCatalogTurn websites into desktop apps with WebCatalog Desktop—your all-in-one tool to manage apps and accounts. Switch between multiple accounts, organize apps by workflow, and access a curated catalog of desktop apps for Mac and Windows.
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Secure User Management, Made Simple | FronteggFrontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complex setup required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
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Laravel Data
Powerful data objects for Laravel
This package enables the creation of rich data objects which can be used in various ways. Using this package you only need to describe your data once. -
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DivKit
DivKit is an open source Server-Driven UI (SDUI) framework
...DivKit is an excellent choice to start using server-driven UI in your project because it can be easily integrated as a simple view in any part of your app. At the starting point, you don’t need a server integration. You can include all JSON on the client-side to try it in a real-world application. Also, we’ve made a sandbox for you to experiment with. You can try different samples in the web editor and see the results on the web or in the Android demo app, both of which are available on Google Play. We’ll publish the iOS demo app shortly. The UI in the demo can be updated live: the sandbox connects to the demo app via web sockets. -
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Boneyard
Auto generated skeleton loading framework
Boneyard is an experimental or utility-focused repository that serves as a collection of discarded, archived, or exploratory code projects. It functions as a sandbox where developers can store unfinished ideas, prototypes, or deprecated implementations without removing them entirely. The project provides a space for experimentation, allowing developers to revisit past work, extract useful components, or learn from previous attempts. It often contains a variety of code snippets or mini-projects that may not be production-ready but still hold educational or practical value. ... -
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Bootstrap
HTML, CSS and JS framework for developing responsive websites and apps
Bootstrap is an HTML, CSS, and JS framework designed for developing responsive, mobile first projects on the web. It's one of the most popular front-end frameworks and for good reason: it simply makes web development faster and easier. People of all skill levels can create projects of all sizes with Bootstrap, and for all types of devices too. With Bootstrap, you get a host of nifty features such as precompiled CSS, impressive scalability, dozens of custom HTML and CSS components and more. -
Transform months of data modeling and coding into days.Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications
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Apache Spark
A unified analytics engine for large-scale data processing
...With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
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Kapacitor
Open source framework for processing, monitoring, and alerting
Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB. -
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Apollo Client
A fully-featured, production ready caching GraphQL client
Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. Use it to fetch, cache, and modify application data, all while automatically updating your UI. Apollo Client helps you structure code in an economical, predictable, and declarative way that's consistent with modern development practices. The core Apollo Client library provides built-in integration with React, and the larger Apollo community maintains integrations for other popular view layers. ... -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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Budibase
Create business apps and automate workflows in minutes
...This should fill you with confidence that Budibase will always be around. You can also code against Budibase or fork it and make changes as you please, providing a developer-friendly experience. Budibase pulls data from multiple sources, including MongoDB, CouchDB, PostgreSQL, MariaDB, MySQL, Airtable, S3, DynamoDB, or a REST API. And unlike other platforms, with Budibase you can start from scratch and create business apps with no data sources. Request new data sources. -
The training management software of choice for commercial training providers who want to save time and crush sales targets.Arlo is training management software for training providers who want to save time and crush sales targets. It is a complete training management solution to promote, sell and deliver instructor-led, online and blended learning. Arlo takes care of your public training schedule, private in-house courses and ongoing training contracts, so you to manage your whole business in one system. It saves you time by automating manual processes and helps you grow with slick ecommerce and marketing tools. See for yourself by starting a free trial.
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Broadway
Concurrent and multi-stage data ingestion and data processing
Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. -
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UnoPIM
A free and open source Laravel-based PIM software to help businesses
Unopim is an open-source Product Information Management (PIM) system designed to help businesses manage and centralize product data. It provides a structured way to collect, enrich, and distribute product information across multiple channels, improving data consistency and accuracy. Unopim is designed to streamline product data management for e-commerce, retail, and marketing applications, allowing for better data governance and more efficient updates. -
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APIJSON
Real-Time coding-free, powerful and secure ORM
APIJSON is an open-source framework developed by Tencent that enables zero-code, real-time, and secure API development. It allows developers to perform CRUD operations through JSON-based requests without writing backend code, significantly accelerating development and reducing errors. APIJSON supports fine-grained access control, parameter validation, and seamless integration with various databases, making it a powerful tool for building scalable APIs. -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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Holochain
The current, performant & industrial strength version of Holochain
...Instead of using global consensus, Holochain enables each agent (user) to maintain their own local state while validating actions with a shared set of rules. This allows for scalable, secure, and resilient apps where data is owned and controlled by users. Ideal for social apps, cooperatives, and data sovereignty platforms, Holochain focuses on enabling collaboration without central servers or miners. It offers a complete toolkit for developers to create decentralized, peer-to-peer apps with built-in integrity and trust systems. -
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Clapeyron
Framework for the development and use of fluid-thermodynamic models
Welcome to Clapeyron! This module provides both a large library of thermodynamic models and a framework for one to easily implement their own models. Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC. -
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Netcap
A framework for secure and scalable network traffic analysis
The Netcap (NETwork CAPture) framework efficiently converts a stream of network packets into platform-neutral type-safe structured audit records that represent specific protocols or custom abstractions. These audit records can be stored on disk or exchanged over the network, and are well-suited as a data source for machine learning algorithms. Since parsing of untrusted input can be dangerous and network data is potentially malicious, a programming language that provides a garbage-collected memory-safe runtime is used for the implementation. -
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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems together. ... -
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LlamaIndexTS
Data framework for your LLM applications
LlamaIndexTS is a data framework designed for Large Language Model (LLM) applications, focusing on server-side solutions to manage and process data efficiently. -
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InvertibleNetworks.jl
A Julia framework for invertible neural networks
Building blocks for invertible neural networks in the Julia programming language. -
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Themis
Easy to use cryptographic framework for data protection
...Use Secure Message to send encrypted and signed data from one user to another, from client to server, to prevent MITM attacks and avoid single secret leakage. Based on ECC + ECDSA / RSA + PSS + PKCS#7. -
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Kweb
A Kotlin web framework
Kweb is designed to make it easy for developers to create modern websites without having to worry about the complexities of communication between the server and the browser. With a unified codebase, you can focus on creating an intuitive and user-friendly interface, rather than spending time on technical details. By streamlining the development process, Kweb makes it easier to build functional and beautiful websites that meet the needs of your users. Kweb is a remote interface for a web... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
...This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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Validated DTO for Laravel
Data Transfer Objects with validation for Laravel applications
Data Transfer Objects with validation for Laravel applications. Data Transfer Objects (DTOs) are objects that are used to transfer data between systems. DTOs are typically used in applications to provide a simple, consistent format for transferring data between different parts of the application, such as between the user interface and the business logic. -
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ConcurrentSim.jl
Discrete event process oriented simulation framework written in Julia
A discrete event process-oriented simulation framework written in Julia inspired by the Python library SimPy. One of the longest-lived Julia packages (originally under the name SimJulia). -
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Odigos
Distributed tracing without code changes
...Historically, compiled languages like Go have been difficult to instrument without code changes. Odigos solves this problem by uniquely leveraging eBPF. Odigos currently supports all the popular managed and open source destinations. By producing data in the OpenTelemetry format, Odigos can be used with any observability tool that supports OTLP. Odigos automatically scales OpenTelemetry collectors based on observability data volume. Manage and configure collectors via a convenient web UI. Installing Odigos takes less than 5 minutes, and requires no code changes.
