Search Results for "data.6bin"
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674 projects for "data.6bin" with 2 filters applied:
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Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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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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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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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. -
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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. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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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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. -
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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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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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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,... -
AI-generated apps that pass security reviewRetool 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.
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Seal Report
Database Reporting Tool and Tasks (.Net)
Seal Report is an open-source tool for the generation of daily reports from any database. It offers a complete framework for producing dynamic reports and dashboards, with a focus on simplicity and ease of use. -
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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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Laravel Sharp
Laravel 10+ Content management framework
...The public website should not have any knowledge of the CMS, the CMS is a part of the system, not the center of it. In fact, removing the CMS should not have any effect on the project. Content administrators should work with their data and terminology, not CMS terms. I mean, if the project is about spaceships, space travels, and pilots, why would the CMS talk about articles, categories, and tags? Developers should not have to work on the front-end development for the CMS. Because life is complicated enough, Sharp takes care of all the responsive / CSS / JS stuff. -
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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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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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Laravel Auditing
Record the change log from models in Laravel
This package will help you understand changes in your Eloquent models, by providing information about possible discrepancies and anomalies that could indicate business concerns or suspect activities. Laravel Auditing allows you to keep a history of model changes by simply using a trait. Retrieving the audited data is straightforward, making it possible to display it in various ways. Auditing events provide a simple observer pattern implementation, allowing you to subscribe and listen to the audit events. Ability to use an Audit record to transition between the states of an Auditable model. If needed, the Audit data can be transformed before being stored. ... -
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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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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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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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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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Steampipe
Zero-ETL, infinite possibilities. Live query APIs, code & more
Steampipe is the zero-ETL solution for getting data directly from APIs and services. We offer these Steampipe engines. SQL has been the data access standard for decades. It levels the playing field for your team, easily integrates with other systems, and accelerates delivery. Painlessly join live cloud configuration data with internal or external data sets to create new insights. Your cloud is a live database that changes fast. -
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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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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.
