Search Results for "patterns" - Page 4
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Showing 167 open source projects for "patterns"
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Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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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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mall-swarm
Microservices edition of the mall e-commerce system
...The repository is structured to show how cross-service concerns like service registry, configuration center, monitoring, distributed transactions, API gateway and messaging are done in microservice architecture. It is used as a teaching platform to help engineers migrate from monolith to microservices, grasp the patterns, pitfalls and infrastructure considerations (e.g., Nacos, Seata). The documentation includes diagrams of system architecture, business architecture, service organization, and shows how to set up on Kubernetes. -
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HighwayHash
Fast strong hash functions: SipHash/HighwayHash
...Typical uses include protecting hash tables that store untrusted keys and authenticating short-lived messages or records in storage systems. Although not a replacement for collision-resistant digests like SHA-2/3, it strikes a pragmatic balance of speed, simplicity, and resistance to common abuse patterns seen in production backends. -
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fvcore
Collection of common code shared among different research projects
...It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. The file I/O layer (PathManager) abstracts local/remote storage so the same code can read from disks, cloud buckets, or HTTP endpoints. ... -
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Scalaz
Principled Functional Programming in Scala
Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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RxDart
The Reactive Extensions for Dart
RxDart is a reactive programming toolkit that augments Dart’s native Streams with a rich set of Rx-style operators and subjects. It offers composition primitives like map, where, debounce, throttle, merge, combineLatest, and switchMap, enabling expressive pipelines for events and async data. Subjects provide multicast behaviors so multiple listeners can share a single data source while maintaining semantics like replaying the latest value. By emphasizing immutability and one-way data flow,... -
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visx
Visualization components
...As you start using visualization primitives, you’ll end up building your own charting library that’s optimized for your use case. You’re in control. And most importantly, it’s just React. If you know React, you can make visualizations. It’s all the same standard APIs and familiar patterns. visx should feel at home in any React codebase. -
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kubectl-aliases
Programmatically generated handy kubectl aliases
kubectl-aliases is a small but extremely handy project that generates hundreds of shell aliases for kubectl so you no longer have to type long commands and flags repeatedly. It ships a prebuilt .kubectl_aliases file for Bash/Zsh, plus variants for Fish and Nushell, which you drop into your home directory and source from your shell config. The aliases are programmatically generated from permutations of common verbs, resources, flags, and options, so you get short forms like kgpo for kubectl... -
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Groq Python
The official Python Library for the Groq API
...The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and supports both synchronous and asynchronous usage patterns depending on your application needs. This makes it easy to integrate Groq-powered AI capabilities into backend services, data pipelines, research notebooks, or applications written in Python. For those building AI-based tooling, automation scripts, or ML-backed backends, groq-python abstracts away HTTP request plumbing and exposes a clean API, accelerating development and reducing boilerplate. -
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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... -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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OpenAI-Java
OpenAI Api Client in Java
...It is designed to make it easier for Java applications to call endpoints like chat completions, embeddings, function calling, streaming, and other model services using idiomatic Java patterns. You configure the client (often via environment variables or system properties), then build parameter objects (e.g. ChatCompletionCreateParams) and invoke methods like client.chat().completions().create(...) to send requests in a type-safe way. The library also supports streaming APIs, where the response arrives in chunks, using helpers like ChatCompletionAccumulator to accumulate partial responses into a full object. ... -
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java-pdf-table-extractor-lib
Java Pdf Table extraction library
The command line application is an example of usage of the Java library. The library is based on pdfbox library and works by looking for the layout of each selected pdf page, and looking for table structure patterns. After calling the library (passing the pdf filename, and the page range), the result is a List<PdfTextElement>. PdfTextElement is an interface that has two implementations. * A basic text (outside the tables) * And PdfTextTabulaElement, for table structures. That implementation allows reading table dimensions and the text of each cell of the table. ... -
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armorpaint
3D PBR Texture Painting Software
...Receive instant visual feedback in the viewport as you paint. Work fast with the convenience of nodes. Paint with fully procedural materials. Build fill layers with material nodes. Use brush nodes to create patterns and procedural brushes. ArmorPaint is designed from scratch to run completely on the GPU. This results in a smooth 4K painting experience on medium-power integrated hardware. Up to 16K texture painting is seamless using a high-end graphics card. Ray-traced baking, painting effects and viewport rendering feature running on Direct3D12 and Vulkan are in progress. ... -
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JavaScript & Node.js Testing
Comprehensive and exhaustive JavaScript & Node.js testing
...It also demonstrates test design techniques like arranging test data, using expressive assertions, and structuring test suites for readability and discoverability. Tooling agnosticism is a theme: patterns are illustrated with popular tools but written to survive framework churn. The end goal is a test suite that acts as living documentation while catching regressions quickly and deterministically. -
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React Projects
Collection of React example / tutorial projects
This repository is a collection of small-to-medium React applications that showcase practical patterns, from stateful widgets to multi-page interfaces. Each project is self-contained and demonstrates specific techniques—hooks for state and effects, context for global state, custom hooks for reuse, and reducer patterns for complex updates. The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where appropriate. ... -
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iJEPA
Official codebase for I-JEPA
...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most. -
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javaboy-code-samples
Collection of Java code examples and demo projects
javaboy-code-samples is a well-curated collection of Java code examples and demo projects assembled by a prolific instructor and blogger to illustrate key concepts in backend development. Rather than focusing on a single application, it groups many small sample programs and projects that exemplify usage of Java core APIs, Spring Boot, frameworks like GRPC and Shiro, REST services, JWT, web security, caching, asynchronous processing, and database interactions. Each sample serves as a compact... -
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Uber Go Style Guide
The Uber Go Style Guide
This repository holds the Uber Go Style Guide, which documents patterns and conventions used in Go code at Uber. Styles are the conventions that govern our code. The term style is a bit of a misnomer, since these conventions cover far more than just source file formatting—gofmt handles that for us. The goal of this guide is to manage this complexity by describing in detail the Dos and Don'ts of writing Go code at Uber. -
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Index Advisor
PostgreSQL Index Advisor
index_advisor is a PostgreSQL extension developed by Supabase that suggests index optimizations based on query performance. It passively monitors query patterns and recommends indexes to improve performance without requiring deep database expertise. This tool helps developers and DBAs reduce query latency and improve efficiency in production environments. -
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conc
Better structured concurrency for go
Conc is a Go library for managing structured concurrency, simplifying the development of concurrent applications with high performance. -
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reCAPTCHA
PHP client library for reCAPTCHA, a free service
reCAPTCHA is Google’s human-verification system that helps websites distinguish real users from automated abuse while keeping friction low for legitimate traffic. The project bundles client and server examples, language-specific helpers, and documentation patterns for integrating reCAPTCHA v2 and v3 flows into web forms and APIs. Its design philosophy is “risk-based”: most users pass silently based on behavioral signals, while higher-risk interactions may be challenged with an image, checkbox, or other verification step. Site owners register keys, embed a small client script, and verify tokens on the server to protect actions like sign-ups, logins, and form submissions. ... -
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Filebuster
An extremely fast and flexible web fuzzer
Filebuster is an extremely fast and flexible web fuzzer designed for content discovery. Written in Perl, it utilizes efficient HTTP handling to quickly identify hidden files and directories on web servers, aiding in security assessments. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. ... -
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JavaScript and React Patterns
Repo related to the FrontendMasters course on JavaScript and React
JavaScript and React Patterns showcases idiomatic patterns and anti-patterns for building React applications, focusing on readability, performance, and maintainability. It translates fuzzy best practices into concrete examples—how to compose components cleanly, manage state thoughtfully, and avoid foot-guns with effects and memoization. The guidance leans on modern React paradigms like hooks, context, custom hooks, and component composition to replace older, heavier patterns. ... -
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FairScale
PyTorch extensions for high performance and large scale training
...Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. FairScale puts emphasis on correctness and debuggability, offering hook points, logging, and reference examples for common trainer patterns. Although many ideas have since landed in core PyTorch, FairScale remains a valuable reference and a practical toolbox for squeezing more performance out of multi-GPU and multi-node jobs. -
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WTFJS
A list of funny and tricky JavaScript examples
...It’s designed as both a fun read and a serious learning aid, helping developers build an intuition for how JavaScript evaluates expressions. By highlighting common misconceptions, it encourages safer coding patterns and more reliable mental models. Teachers, interviewers, and learners use it to spark discussion and deepen understanding of JavaScript’s semantics.
