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Showing 4 open source projects for "jbpm-start"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
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1
LEA
LEA is a Lightweight Editor for Ada
LEA, a Lightweight Editor for Ada, aims to provide an easy, script-world-like, "look & feel" for developing Ada projects of any size and level, while enabling access to full-scale development tools like GNAT. More information on: http://l-e-a.sf.net/ Alire crate: https://alire.ada.dev/crates/lea -
2
Ada_Empty
Minimal Configuration with makefile for Ada
Just an minimal configuration to start Ada project using make with Makefile maked for Ada -
3
Portable OpenAL Sound
Concurrent, asynchronous sounds package for Ada apps.
This is an Ada package that can play WAV files on Windows, OSX, and Linux, using Ada tasking and OpenAL libraries. It includes a partial Ada binding to OpenAL. It provides sound-playing capabilities for Ada apps to * asynchronously start and stop music/sound loops, * initiate transient sounds, * allow unlimited sound concurrency. It is suitable for any Ada application that needs music, sound loops or transient sound effects; eg. games. The proper command to extract the archive... -
4
AVR-Ada
Ada cross compiler and libraries for AVR µCs
...) Start with the examples (alr get avrada_examples) and Alire will install everything else. -
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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