Search Results for "run time java" - Page 10
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Showing 1464 open source projects for "run time java"
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mypy-baseline
Integrate mypy in seconds with existing codebase
A CLI tool for painless integration of mypy with an existing Python project. When you run it for the first time, it will remember all types of errors that you already have in the project (generate “baseline”). All consecutive runs will ignore these errors and report only the ones that you introduced after that. -
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Numaflow
Kubernetes-native platform to run massively parallel data/streaming
Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform. -
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ContainerSSH
ContainerSSH: Launch containers on demand
An SSH Server that Launches Containers in Kubernetes and Docker. Building a lab environment can be time-consuming. ContainerSSH solves this by providing dynamic SSH access with APIs, automatic cleanup on logout using ephemeral containers, and persistent volumes for storing data. Perfect for vendor and student labs. Provide production access to your developers, give them their usual tools while logging all changes. Authorize their access and create short-lived credentials for the database... -
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Platformatic
Platformatic Open Source monorepo
Platformatic enables developers to efficiently develop and run APIs at scale. Historically, API developers have had to repetitively build infrastructure to satisfy foundational requirements, like authentication, authorization, caching, and connection to databases, and have had to manage microservices with technologies such as service mesh or centralized registries. This work is time consuming, undifferentiated, and painstakingly complex. -
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Wemake Django Template
Bleeding edge django template focused on code quality and security
...Development should be consistent, so we use strict quality and style checks. Development, testing, and production should have the same environment, so again we develop, test, and run our apps in docker containers. Documentation and codebase are the only sources of truth. This template is oriented on big projects, when there are multiple people working on it for a long period of time. -
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TilesFX
A JavaFX library containing tiles that can be used for dashboards
A JavaFX library containing tiles for Dashboards. The Tile is a simple JavaFX Control that comes with different skins. To get an idea on how to use the skins with their parameters you could either take a look at the Demo file or check out the TilesFX Demo project which also contains information on how to combine TilesFX with other libraries e.g. Medusa You can also check my blog where you will find additional information about certain tiles. -
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XGBoost
Scalable and Flexible Gradient Boosting
...XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. ... -
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Google Cloud Dataflow Template Pipelines
Cloud Dataflow Google-provided templates for solving data tasks
DataflowTemplates is the source repository for Google-provided Dataflow templates that are intended to solve large-scale in-cloud data processing tasks without requiring users to build everything from scratch in a full development environment. The repository is centered on templated pipelines powered by Google Cloud Dataflow and Apache Beam, making it easier to run common integration and movement jobs such as data import, export, backup, restore, and bulk API operations. Its structure shows... -
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Gradle Plugin for Node
Gradle plugin for integrating NodeJS in your build
gradle-node-plugin is a Gradle plugin that enables seamless integration of Node.js, npm, and Yarn within Gradle builds. It helps Java-based projects manage JavaScript dependencies and run Node.js tasks efficiently. -
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AtomicFU
The idiomatic way to use atomic operations in Kotlin
Atomicfu is a multiplatform library that provides an idiomatic and efficient way of using atomic operations in Kotlin. -
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AWS Toolkit for JetBrains
A plugin for interacting with AWS from JetBrains IDEs
The AWS Toolkit for JetBrains makes it easier to write applications built on Amazon Web Services. If you come across bugs with the toolkit or have feature requests, please raise an issue on our GitHub repository. See the user guide for how to get started, along with what features/services are supported. CodeWhisperer uses machine learning to generate code suggestions from the existing code and comments in your IDE. Supported languages include: Java, Python, and JavaScript. In addition to... -
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JCTools
Java Concurrency Tools for the JVM
Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK. There’s more to come and contributions/suggestions are most welcome. JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! -
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OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI... -
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free-for.dev
A list of SaaS, PaaS and IaaS offerings that have free tiers
...Because it’s a single, searchable markdown resource, it has become a go-to reference for bootstrappers and engineers looking to prototype or run small workloads at minimal cost. -
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Wuffs
Wrangling Untrusted File Formats Safely
...Instead of trusting ad-hoc C, Wuffs code is compiled to C with strong bounds, integer, and state checks inserted by construction, aiming to eliminate whole classes of security bugs without a heavy runtime. The design prioritizes predictable performance: decoders avoid dynamic allocation by default, return explicit “short read” signals, and run well in streaming or sandbox-free environments. The project ships battle-tested, CPU-friendly implementations for common image/container formats and bit-twiddly primitives like Huffman and checksum routines. Its standard library emphasizes portability and constant-time behavior where appropriate, which is valuable in security-sensitive contexts. ... -
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Jenkins Docker
Docker jenkins repo
The Jenkins Continuous Integration and Delivery server available on Docker Hub. The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. If you bind mount in a volume, you can simply back up that directory (which is jenkins_home) at any time. This is highly recommended. Treat the jenkins_home directory as you would a database, in Docker you would generally put a database on a volume. If your volume is inside a... -
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Lottie
Render After Effects animations natively on Mobile, Web & React Native
Lottie is a wonderful library for Android, iOS, Web, and Windows that works by parsing Adobe After Effects animations that have been exported as json with Bodymovin, and then rendering these natively on mobile and on the web! Now you can have beautiful animations without engineers having to recreate everything by hand. Building animations by hand is time consuming, and other animation alternatives like Gifs and Png sequences don’t offer the same flexibility and varied features that... -
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Android Runtime for NativeScript
NativeScript for Android using v8
Contains the source code for the NativeScript's Android Runtime. NativeScript is a framework that enables developers to write truly native mobile applications for Android and iOS using JavaScript and CSS. Each mobile platform has its own ecosystem and offers completely different development tools and language(s) - Java for Android and Objective C (Swift) for iOS. In order to translate JavaScript code to the corresponding native APIs some kind of proxy mechanism is needed. This is exactly... -
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Spring Cloud Kubernetes
Kubernetes integration with Spring Cloud Discovery Client
Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app... -
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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. -
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doc.rustdesk.com
Document of RustDesk
...The docs explain concepts like rendezvous versus relay roles, NAT traversal, security settings, and platform-specific nuances across Windows, macOS, Linux, and mobile. Clear navigation and task-oriented articles help readers move quickly from first-time installation to advanced troubleshooting. The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. It also provides best practices around performance tuning, authentication choices, and network topology so organizations can run RustDesk confidently at scale. -
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Posting
The modern API client that lives in your terminal
...It allows users to create, test, and manage HTTP requests directly from the command line without relying on graphical tools. The interface is highly interactive, offering features like command palettes, jump navigation, and real-time editing for efficient API exploration. Posting supports saving requests in a readable, version-control-friendly format, making it ideal for collaboration and reproducibility. It also includes scripting capabilities, enabling users to run Python code before and after requests to automate workflows. Overall, Posting brings a modern, customizable, and developer-centric API testing experience to the terminal. -
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legendary.nvim
A legend for your keymaps, commands, and autocmds
Define your keymaps, commands, and auto commands as simple Lua tables, building a legend at the same time (like VS Code's Command Palette). A legend for your keymaps, commands, and autocmds, integrates with which-key.nvim, lazy.nvim, and more. -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package...
