Serverless batch computing made simple.

Simple API, Complex Emails (JavaMail smtp wrapper)

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

The simple, stupid batch framework for Java

BIMP. Batch Image Manipulation Plugin for GIMP.

Parallel S3 and local filesystem execution tool.

Short lived microservices with Spring Batch

Ruby's missing background and batch processing system

Simplify HPC and Batch workloads on Azure

A Free Krita plugin to batch export layers and groups with maximum flexibility. Scale, trim, export multiple copies of your layers...

*Decompile All the Things* - IDA Batch Decompile plugin and script for Hex-Ray's IDA Pro that adds the ability to batch decompile multiple files and their imports with additional annotations (xref, stack var size) to the pseudocode .c file

Simply does the tedious, repetitive operations for all rows of an excel filse step by step and reports after the job is done. For example it can download URL(s) in a column of an Excel file. If a new filename is provided at column B it will rename the file before saving.

面向OLTP、OLAP、批处理、流处理场景的大一统SQL引擎

Asakusa Framework

Python Data Processing library

Fully automated batch processing of Revit files with your own Python or Dynamo task scripts!

Parallel SSH Tools

Euphoria is an open source Java API for creating unified big-data processing flows. It provides an engine independent programming model which can express both batch and stream transformations.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Elastic data processing with Apache Pulsar and Apache Flink

Example use of AWS batch

REST API for Spring Batch using Spring Boot 2.2

A Mass Image Processing tool for Windows

Shell script to run OpenRefine in batch mode (import, transform, export). It orchestrates OpenRefine (server) and a python client that communicates with the OpenRefine API.

Multi-threaded batch processing and background jobs for .NET Core

This library for Android will take any set of events and batch them up before sending it to the server. It also supports persisting the events on disk so that no event gets lost because of an app crash. Typically used for developing any in-house analytics sdk where you have to make a single api call to push events to the server but you want to optimize the calls so that the api call happens only once per x events, or say once per x minutes. It also supports exponential backoff in case of network failures

Batch-processing of Revit models using the Dynamo visual programming environment

When Apache Pulsar meets Apache Spark

Detailed documentation is available here: http://ifiscripts.readthedocs.io/en/latest/index.html