Open Source Mac Software Development Software - Page 39
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Software Development Software for Mac
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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JTrac
Easy to set up bug tracking with Java
JTrac is a generic issue-tracking web-application that can be easily customized by adding custom fields and drop-downs. Features include a customizable workflow, field level permissions, e-mail integration, file attachments, a detailed history view and changeable colors to fit a particular CI/CD. After a long hiatus, development has resumed with version 2.2.0 in December 2021, 2.2.1 in February 2022, 2.3.0 in February 2023, 2.3.1 in May 2023, 2.3.2 in July 2023 and 2.3.3 in June 2024. See https://sourceforge.net/p/j-trac/wiki/Home/ for release notes and documentation, and download it at https://sourceforge.net/projects/j-trac/files/jtrac/. Feedback is welcome. JTrac continues to be improved, and has recently been awarded the SourceForge "Open Source Excellence" badge. -
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Installation Note: After copying the Turbo C++ folder to Applications, please right-click on the TurboC app in the Turbo C++ folder in Applications and select "Open". This needs to be done only when you launch the application for the first time. Special thanks to Manav Aggarwal & Ananay Arora for testing.
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bash debugger
bash debugger
A gdb-like debugger for bash -
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Modelio - Modeling environment (UML)
Modeling tool supporting UML, BPMN and other standards
Modelio is an open source modeling environment tool providing support for the latest standards (UML 2, BPMN 2, ...). It can be extended by adding modules which add new functionalities. A large set of modules (free and open source) supporting code management (generation/reverse), modeling standards (TOGAF, SysML, SoaML, ...), document generation, ... is available from the Modelio Store (https://store.modelio.org/). Need help or want to share experience with the Modelio community? Go to our forum: https://www.modelio.org/forum/index.html. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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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 providing code suggestions within your current file, CodeWhisperer can scan your code package to identify security issues. Connect to AWS using static credentials, credential process, or AWS SSO. View and manage AWS resources. Locally test and step-through debug functions in a Lambda-like execution environment provided by the AWS SAM CLI. Supports Java, Python, Node.js, and .NET Core. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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Angular Full Stack
Angular Full Stack project built using Angular, Express, Mongoose
Angular Full Stack is a project to easily get started with the latest Angular using a real backend and database. The whole stack is in TypeScript, from frontend to backend, giving you the advantage of coding in one single language throughout the stack. -
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Apache log4net
Apache Log4net is a versatile, feature-rich, efficient logging API
The Apache log4net library is a tool to help the programmer output log statements to a variety of output targets. log4net is a port of the excellent Apache log4j™ framework to the Microsoft® .NET runtime. We have kept the framework similar in spirit to the original log4j while taking advantage of new features in the .NET runtime. The log4net framework is based on Apache log4j™, The log4net framework, source code, binaries, documentation, examples and related materials are published under the terms of the Apache License. This document is an introduction to the log4net API, its unique features and design rationale. Log4net is an open source project based on the work of many authors. It allows the developer to control which log statements are output with arbitrary granularity. It is fully configurable at runtime using external configuration files. -
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Arthas
Alibaba Java Diagnostic Tool
Often times, the production system network is inaccessible from the local development environment. If issues are encountered in production systems, it is impossible to use IDEs to debug the application remotely. More importantly, debugging in production environment is unacceptable, as it will suspend all the threads, resulting in the suspension of business services. Developers could always try to reproduce the same issue on the test/staging environment. However, this is tricky as some issues cannot be reproduced easily on a different environment, or even disappear once restarted. And if you're thinking of adding some logs to your code to help troubleshoot the issue, you will have to go through the following lifecycle; test, staging, and then to production. Time is money! This approach is inefficient! Besides, the issue may not be reproducible once the JVM is restarted, as described above. Arthas was built to solve these issues. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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AstroNvim
AstroNvim is an aesthetic and feature-rich neovim config
AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins. AstroNvim is provided as a plugin that can be installed with the lazy.nvim plugin manager and then used to import all of the plugin configurations that AstroNvim provides. To quickly get started it is recommended to start with the official AstroNvim Template which provides a great starting point for a new AstroNvim based configuration. We found other Neovim configurations either being powerful out of the box but hard to customize, or easy to customize but minimal out of the box functionality. AstroNvim aims to find the middle ground with a great out of the box experience while empowering the user to make tweaks where they want. -
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BAT
A cat(1) clone with syntax highlighting and Git integration
A cat(1) clone with syntax highlighting and Git integration. By default, bat pipes its own output to a pager (e.g. less) if the output is too large for one screen. If you would rather bat work like cat all the time (never page output), you can set --paging=never as an option, either on the command line or in your configuration file. If you intend to alias cat to bat in your shell configuration, you can use alias cat='bat --paging=never' to preserve the default behavior. Even with a pager set, you can still use bat to concatenate files. Whenever bat detects a non-interactive terminal (i.e. when you pipe into another process or into a file), bat will act as a drop-in replacement for cat and fall back to printing the plain file contents, regardless of the --pager option's value. Use bat --list-themes to get a list of all available themes for syntax highlighting. -
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BSC
Bluespec Compiler (BSC)
BSC is the open source compiler toolchain for Bluespec SystemVerilog, a high-level, rule-based hardware design language. It translates Bluespec descriptions into synthesizable Verilog, letting developers bring typed, modular abstractions into mainstream FPGA/ASIC flows. The compiler performs scheduling of atomic rules, elaborates parameterized modules, and enforces interface contracts, producing predictable RTL that integrates with existing EDA tools. A companion simulator enables fast functional execution and debugging before handing designs to traditional verification and synthesis stages. The ecosystem includes standard libraries, FIFOs, interfaces, and utilities that encourage reuse and clean separation of datapaths and control. By raising the abstraction for hardware architecture while preserving efficient output, BSC helps teams explore complex designs—such as RISC-V cores or accelerators—more productively. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
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CPU Info
CPU Info provides information about device hardware and software
CPU Info provides the main information about the hardware and software of your device. -
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Calamares
Distribution-independent installer framework
Calamares aims to be easy, usable, beautiful, pragmatic, inclusive and distribution-agnostic. Calamares is an installer framework. By design, it is very customizable, in order to satisfy a wide variety of needs and use cases. Calamares aims to be easy, usable & beautiful while remaining independent of any particular Linux distribution. The Guide linked above has documentation for end-users, the wiki is mostly for distro developers. The developer’s guide contains information on building Calamares, its design, and localization. Since Calamares is designed to be customized, themed, and branded by individual distributions, it can look very different when used by specific distributions. A separate extensions package contains examples and custom modules. -
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Centrifugo
Scalable real-time messaging server in a language-agnostic way
Centrifugo is language-agnostic. It's a standalone server with a simple API that integrates well with an application written in any programming language. No need to change an existing application architecture to introduce real-time features. Just add Centrifugo nearby and let it deal with persistent connections. Centrifugo is built in Go language with some smart optimizations inside. It has good performance – see a description of a test stand with one million WebSocket connections and 30 million delivered messages per minute with hardware comparable to one modern server machine. Many built-in features can help to build an attractive real-time application in a limited time. Centrifugo provides different types of subscriptions, hot channel history, instant presence, RPC calls. There is also the possibility to proxy WebSocket events to the application backend over HTTP or GRPC and more. -
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Checkov
Prevent cloud misconfigurations during build-time for Terraform
Checkov scans cloud infrastructure configurations to find misconfigurations before they're deployed. Checkov uses a common command-line interface to manage and analyze infrastructure as code (IaC) scan results across platforms such as Terraform, CloudFormation, Kubernetes, Helm, ARM Templates and Serverless framework. Verify changes to hundreds of supported resource types in all major cloud providers. Checkov supports developers using Terraform, Terraform plan, CloudFormation, Kubernetes, ARM Templates, Serverless, Helm, and AWS CDK. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. -
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Clj-kondo
A linter for Clojure code that sparks joy
A linter for Clojure code that sparks joy. Clj-kondo performs static analysis on Clojure, ClojureScript and EDN, without the need of a running REPL. It informs you about potential errors while you are typing. To detect lint errors across namespaces in your project, a cache is needed. To let clj-kondo know where to create one, make a .clj-kondo directory in the root of your project, meaning on the same level as your project.clj, deps.edn or build.boot. A cache will be created inside of it when you run clj-kondo. Before linting inside your editor, it is recommended to lint the entire classpath to teach clj-kondo about all the libraries you are using, including Clojure and/or ClojureScript itself. Since clj-kondo now knows about your version of ClojureScript via the cache, it detects that the number of arguments you passed to select keys is invalid. Each time you edit a file, the cache is incrementally updated, so clj-kondo is informed about new functions you just wrote. -
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Code Quality and Security for Java
SonarSource Static Analyzer for Java Code Quality and Security
Hundreds of unique rules to find Java bugs, code smells & vulnerabilities. Sonar static analysis helps you build and maintain high-quality Java code. Covering popular build systems, standards and versions, Sonar elevates your coding game while keeping vulnerabilities at bay. With each Java version, we create dedicated rules so you learn shiny, new features and avoid pitfalls. Consistently find tricky, hard-to-spot issues in your regular expressions. Allow you to effortlessly repair your Java coding issues with just a click. Dozens of rules to ensure your tests are always as clean as your code! Dedicated rules to detect vulnerabilities including ones stemming from OWASP & CWE Top 25 guidelines. It all comes from a powerful analysis engine that we constantly refine. Sonar employs advanced rules along with smart, exclusive analysis techniques to find the trickiest, most elusive issues. -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project cases. The repository emphasizes practical coding skills, providing examples that can be directly applied in professional software engineering. It also functions as a guide for both junior developers who want to grow into architects and experienced engineers who seek deeper mastery of system design. By combining educational material with hands-on examples, CodeGuide bridges the gap between theoretical learning and practical application in enterprise-level Java development. -
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Covalent
Teradata UI Platform built on Angular Material
Reusable tested tools to build robust Angular Material & Angular applications. Vision: To build an atomic, reusable component platform for Teradata to consume, while collaborating in an open-source model. Covalent is a reusable UI platform from Teradata for building web applications with common standards and tooling. It is based on Angular and Material Design. Visualize your data easily. ECharts is an extensive "tried and true" charting library brought to Angular as Covalent Charts. td-chart-x-axis and td-chart-y-axis elements generate an axis inside a td-chart. Its the equivalent of creating a JS xAxis/yAxis object in charts. Blank main site nav component that gets hooked as a parent of all the other layouts. Layout with a custom navigation view with toolbar items and footers. Basic side sheet content. -
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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally. Dagster as a unified control plane: The ‘single plane of glass’ data teams love to use. Rein in the chaos and maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities. -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and the suggestion of likely constraints automatically for new datasets. It also includes a little domain-specific language called DQDL (Data Quality Definition Language) which allows declarative specification of quality rules. Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. There is also a Python wrapper, PyDeequ, for users who prefer working from Python environments. -
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Design Patterns Library
A comprehensive design patterns library implemented in C#
A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations. In addition, design patterns allow developers to communicate using well-known, well-understood names for software interactions. Know when to use a certain design pattern, and when not to. No design pattern is a 42 - the answer to life, the universe and everything. There are situations in which every design pattern easily becomes an antipattern. -
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Dj-Rest-Auth
Authentication for Django Rest Framework
Since the introduction of django-rest-framework, Django apps have been able to serve up app-level REST API endpoints. As a result, we saw a lot of instances where developers implemented their own REST registration API endpoints here and there, snippets, and so on. We aim to solve this demand by providing dj-rest-auth, a set of REST API endpoints to handle User Registration and Authentication tasks. By having these API endpoints, your client apps such as AngularJS, iOS, Android, and others can communicate to your Django backend site independently via REST APIs for User Management. Of course, we’ll add more API endpoints as we see the demand.
