Search Results for "batch"
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Showing 183 open source projects for "batch"
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Managed MySQL, PostgreSQL, and SQL Databases on Google CloudCloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Laravel BATCH
insert batch and update batch in laravel
Insert and update batch (bulk) in Laravel. -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. -
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GraphQL Batch
A query batching executor for the graphql gem
...Provides an executor for the graphql gem which allows queries to be batched. Define a custom loader, which is initialized with arguments that are used for grouping and a perform method for performing the batch load. Use GraphQL::Batch as a plugin in your schema after specifying the mutation so that GraphQL::Batch can extend the mutation fields to clear the cache after they are resolved. The loader class can be used from the resolver for a graphql field by calling .for with the grouping arguments to get a loader instance, then call .load on that instance with the key to load. ... -
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. -
Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
...With a flexible installation process across Windows, Linux, and Apple Silicon, plus support for GPUs and CPUs, it caters to a wide range of users—from hobbyists to professionals. The interface also supports prompt editing, batch processing, custom scripts, and many community extensions, making it a highly customizable and continually evolving platform for creative AI art generation. -
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Douyin TikTok Download API
Douyin TikTok Download API
Use the official interface to capture Douyin|TikTok data, support API calls, Web portals, and batch analysis. Fast, asynchronous, free, open source, ad-free, long-term maintenance. This project is based on PyWebIO , FastAPI , HTTPX , a fast and asynchronous Douyin / TikTok data crawling tool, and realizes online batch parsing and downloading of watermark-free videos or atlases through the web, data crawling API, and iOS shortcut instructions for watermark-free download and other functions. ... -
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EFCore.BulkExtensions
Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy
EFCore.BulkExtensions is a high-performance extension library for Entity Framework Core that provides bulk operations like insert, update, delete, and read. It significantly improves performance when working with large datasets and supports batching, upserts, and change tracking. The library is compatible with popular databases like SQL Server, PostgreSQL, MySQL, and SQLite. -
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Luigi
Python module that helps you build complex pipelines of batch jobs
Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. ... -
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Faast.js
Serverless batch computing made simple
Serverless batch computing made simple. Serverless function architectures are optimized for event-driven systems. Faast.js simplifies serverless batch applications by automating infrastructure, code packaging, invocation, and cleanup. Combine the power of scalable serverless functions with the ease-of-use and familiarity of ordinary async functions. -
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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DataLoader
Generic utility to use with an application's data fetching layer
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching. A port of the "Loader" API originally developed by @schrockn at Facebook in 2010 as a simplifying force to coalesce the sundry key-value store back-end APIs which existed at the time. At Facebook, "Loader" became one of the implementation details of the "Ent"... -
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GraphQL DataLoader
Implementation of Facebook's DataLoader in Golang
This is an implementation of Facebook's DataLoader in Golang. This implementation contains a very basic cache that is intended only to be used for short lived DataLoaders (i.e. DataLoaders that only exist for the life of an http request). You may use your own implementation if you want. it also has a NoCache type that implements the cache interface but all methods are noop. If you do not wish to cache anything. -
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PicX
GitHub API
An image bed management tool with CDN acceleration function developed based on GitHub API. No need to download and install, use it online on the web page! free! Stablize! Convenient! Extremely fast! Writing articles with static blogs such as Hexo, VuePress, Hugo, etc., I don’t know where to save the pictures. Deliberately spending money to rent a cloud server to host pictures, it is too expensive and not worth it, and the upload configuration is cumbersome. The link to the favorite picture... -
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Entity Framework Plus
Entity framework plus extends your DbContext with must-haves features
Entity Framework Plus extends your DbContext with must-haves features, include filter, auditing, caching, query future, batch delete, batch update, and more. Deleting using Entity Framework Core can be very slow if you need to delete hundreds or thousands of entities. Entities are first loaded in the context before being deleted which is very bad for the performance and then, they are deleted one by one which makes the delete operation even worse. EF+ Batch Delete is the most efficient way to delete records. ... -
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AWS ParallelCluster Cookbook
The Chef cookbook used to build and bootstrap AWS ParallelCluster
...Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. You can build higher-level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster. Node.js is required by AWS CDK library used by ParallelCluster. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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OpenAI Go
The official Go library for the OpenAI API
...It enables developers to integrate OpenAI’s models and features into Go applications with a clean and idiomatic interface. The library provides support for a wide range of API endpoints including chat completions, assistants, embeddings, image generation, audio processing, and batch jobs. It includes built-in tools for handling authentication, managing API requests, and parsing structured responses. The repository also offers examples to help developers quickly set up projects and test different API calls. Designed for reliability and ease of use, it is maintained to stay aligned with the evolving OpenAI API specifications. -
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Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers. -
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MCScanX
MCScanX: Multiple Collinearity Scan toolkit X version
MCScanX is a toolkit for detecting gene synteny and collinearity, aiding in the evolutionary analysis of gene arrangements across multiple genomes. It extends the original MCScan algorithm by incorporating additional utilities for visualization and downstream analyses. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
...Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. You can build higher-level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster. -
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node-google-spreadsheet
Google Sheets API wrapper for Javascript / Typescript
node-google-spreadsheet is a JavaScript library that provides a simple interface for reading and writing to Google Sheets, supporting both JavaScript and TypeScript. -
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Another Redis Desktop Manager
A faster, better and more stable Redis desktop manager
...It supports standalone, Sentinel, and Cluster modes, plus SSH tunneling and ACL credentials for secure access in varied environments. The UI provides tree and table views of keys with inline editors for strings, hashes, lists, sets, sorted sets, and streams, including TTL management and batch operations. Built-in monitoring lets you watch stats, slow logs, and command activity while an integrated console executes raw Redis commands. Quality-of-life features include JSON viewers, search and filter tools, favorite connections, and dark mode. For everyday operations and troubleshooting, it offers a friendlier alternative to the command line without hiding Redis’s power. -
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MyBatis Spring Adapter
Spring integration for MyBatis 3
MyBatis-Spring adapter is an easy-to-use Spring Framework bridge for MyBatis sql mapping framework. MyBatis-Spring integrates MyBatis seamlessly with Spring. This library allows MyBatis to participate in Spring transactions, takes care of building MyBatis mappers and SqlSessions and inject them into other beans, translates MyBatis exceptions into Spring DataAccessExceptions, and finally, it lets you build your application code free of dependencies on MyBatis, Spring or MyBatis-Spring. Spring... -
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Join Monster
A GraphQL to SQL query execution layer for query planning
A GraphQL to SQL query execution layer for query planning and batch data fetching. Efficient query planning and data fetching for SQL. Use JOINs and/or batched requests to retrieve all your data. It takes a GraphQL query and your schema and automatically generates the SQL. Send that SQL to your database and get back all the data needed to resolve with only one or a few round-trips to the database. -
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Radare2
UNIX-like reverse engineering framework and command-line toolset
...It is composed by a bunch of libraries (which are extended with plugins) and programs that can be automated with almost any programming language. It is recommended to install it from git, alternatively, you can pick the last release (every 6 weeks) from Github. Batch, Commandline, visual, and panels interactive modes. Embedded webserver with js scripting and WebUI. Assemble and disassemble a large list of CPUs. Runs on Windows and any other UNIX flavor out there. Analyze and emulate code with ESIL. Native debugger and GDB, WINDBG, QNX, and FRIDA. Navigate ASCII-art control flow graphs. Ability to patch binaries, and modify code or data. ... -
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Cookbook (Google Gemini)
Examples and guides for using the Gemini API
...It highlights newly introduced features such as Gemini 2.5 models (Flash and Pro), Gemini’s native image generation, Veo for video generation, robotics-focused reasoning models, and Lyria for TTS and music generation. The Cookbook also includes tutorials on advanced API workflows such as grounding answers with external tools, batch-mode request handling, and live multimodal interactivity with LiveAPI. Designed as a hands-on resource, it helps developers quickly explore Gemini’s potential while serving as a reference for integrating cutting-edge multimodal AI into applications.
