Search Results for "using" - Page 9
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538 projects for "using" with 2 filters applied:
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Retool your internal operationsBuild internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
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MyQ Print Management SoftwareBoost your digital or traditional workplace with MyQ’s secure print and scan solutions that respect your time and help you focus on what you do best.
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zpdf
Zero-copy PDF text extraction library written in Zig
...It leans heavily on memory-mapped file reading and zero-copy patterns where possible, so it can scan large PDFs without repeatedly copying data around in memory. The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. It implements multiple PDF decompression filters and handles common font encoding pathways, which are essential for turning raw PDF content streams into readable text. It also understands both classic cross-reference tables and newer cross-reference streams, including PDF 1.5+ features, and it offers configurable strict vs permissive error handling depending on whether you prioritize correctness or robustness. -
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derive(Error)
derive(Error) for struct and enum error types
...The goal is to enable library authors to build expressive, typed error types, with readable Display implementations (via #[error("...")] annotations) as well as From conversions (#[from]), source tracking (#[source]), and optionally backtraces. It is designed so that switching from handwritten error implementation to using this error is not a breaking change: you retain the same API. The README shows examples: an enum with variants annotated by #[error("…")] and #[from] fields to derive the appropriate trait impls. The crate expects rustc ≥ 1.68+. The README also outlines how you choose; use thiserror if you care about designing your own error-types (e.g., for libraries) vs anyhow for applications. -
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Node.js Best Practices
The Node.js best practices list (July 2024)
...Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be technology-agnostic within the Node ecosystem, providing patterns that work whether you’re using Express, Fastify, Nest, or custom frameworks. It is designed for real-world constraints: production deployment, observability, CI/CD, containerization, and cross-functional collaboration. Because it’s continuously updated, the guide helps keep engineering standards aligned with evolving Node versions and tooling, turning tribal knowledge into a shared, documented baseline for teams. -
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996.ICU
Repo for counting stars and contributing
...The project also fostered translations and international outreach, turning a regional issue into a worldwide conversation about humane work standards. Its simplicity—a README-driven campaign—showed how developer communities can advocate collectively. Beyond code, it stands as an example of using open repositories to coordinate social action in tech. -
Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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Tunix
A JAX-native LLM Post-Training Library
...Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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Google API JavaScript Client
Google APIs Client Library for browser JavaScript, aka gapi
This library (often used via gapi) provides a browser-friendly way to call Google APIs using OAuth 2.0 and generated discovery documents. It abstracts discovery, auth, and HTTP details so developers can focus on domain calls like Drive file operations, Calendar events, or YouTube data. The client can load APIs dynamically at runtime, which keeps bundles small and allows late-binding to specific services and versions. It includes helpers for incremental auth, token refresh, and scopes so apps can request only what they need when they need it. ... -
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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and... -
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LangExtract
A Python library for extracting structured information
...LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. The system excels at handling long documents using optimized chunking, multi-pass extraction, and parallel processing to ensure both high recall and structured consistency. -
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Pundit
Minimal authorization through OO design and pure Ruby classes
...It centers around policy classes—one policy per model or resource—that define what actions a given user is permitted to perform (e.g., show?, update?, destroy?). Each policy method returns a boolean, and can be structured using combinators or shared logic to keep things DRY. In controllers and views, Pundit provides helpers like authorize, policy_scope, and policy to enforce those rules cleanly and consistently. The policy_scope feature is especially helpful—it restricts index or list queries to only the records the current user can see by applying scopes defined in the policy class. ... -
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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Brick
A declarative Unix terminal UI library written in Haskell
...Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. Event-handling is done by pattern-matching on incoming events and updating your application state. Under the hood, this library builds upon vty, so some knowledge of Vty will be necessary to use this library. Brick depends on vty-crossplatform, so Brick should work anywhere Vty works (Unix and Windows). ... -
11
Runeset
Fast UTF-8 codepoint sets for Zig
...There may be prior art, it's remarkably difficult to search for "UTF-8 character sets" and find papers on set data structures, so I can't say with high confidence that it's truly novel; in a sense, it's an obvious extension of the widespread practice of using a pair of u64 bitmasks to detect a set of ASCII values. What I can say is: it's effective. The RuneSet struct is just a slice of u64, offering a few variations on set membership tests, depending on how confident you are that the string it's testing is valid UTF-8, and what you would like the test to do in the event that it isn't. -
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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
...As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class. -
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Parser for Rust source code
Parser for Rust source code
...It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time. -
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Anyhow
Flexible concrete Error type built on std::error::Error
...The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. It also supports no_std mode (in limited form) by disabling default features. The README distinguishes it from library-oriented error crates (like thiserror): use anyhow when you just care about application-level error handling, not fine-grained types. -
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Go Container Registry
Go library and CLIs for working with container registries
go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. The library handles authentication via a pluggable keychain system that understands Docker config files, credential helpers, and environment credentials. ... -
16
Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
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Official Android SDK for Stream Chat
Android Chat SDK ➜ Stream Chat API. UI component libraries for chat
This is the official Android SDK for Stream Chat, a service for building chat and messaging applications. This library includes both a low-level chat SDK and a set of reusable UI components. Most users start with the UI components and fall back to the lower-level API when they want to customize things. We're proud to say that we're the first Android Chat SDK that supports Jetpack Compose! We released our Compose UI Components one day after the official Jetpack Compose 1.0 release and our... -
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GraphQL Juniper
GraphQL server library for Rust
GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward. It optionally provides a pre-built integration for the... -
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Groq TypeScript / Node.s
The official Node.js / Typescript library for the Groq API
...It exports strongly-typed interfaces for models, chat completions, file uploads (e.g. for audio transcription), and other endpoints, allowing for better type safety and developer experience when using Groq from TypeScript. The library also supports passing different input types (file streams, blobs, fetch responses) for media-related endpoints, making it flexible for diverse environments (backend, browser, serverless). With this SDK, developers can call Groq’s models, transcribe audio, perform file uploads — all with minimal boilerplate — which streamlines creation of AI-enabled applications in the JavaScript/TypeScript ecosystem. -
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Groq Python
The official Python Library for the Groq API
...Through this library, you can call Groq’s models from Python code — for example to request chat completions, code generation, transcription, or any supported endpoint — using idiomatic Python syntax. 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. ... -
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AWS Lambda for .NET
Libraries, samples and tools to help .NET Core developers
AWS Lambda for .NET is the repository that houses tools, libraries and templates to build and deploy AWS Lambda functions using the .NET ecosystem (including .NET Core and .NET 7+). It provides NuGet packages for event models (e.g., API Gateway, DynamoDB, S3), utilities such as Amazon.Lambda.Tools for CLI deployment, and Blueprints/templates to scaffold serverless .NET projects quickly. The framework supports writing functions in C# (and VB/F# where applicable), integrates with the .NET CLI and Visual Studio tooling, and allows developers to treat Lambda functions like any other managed .NET application while handling the deployment, packaging and runtime glue. ... -
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Hoplite
Boilerplate-free Kotlin config library for loading configuration files
Hoplite is a Kotlin library for loading configuration files into typesafe classes in a boilerplate-free way. Define your config using Kotlin data classes, and at startup Hoplite will read from one or more config files, mapping the values in those files into your config classes. Any missing values, or values that cannot be converted into the required type will cause the config to fail with detailed error messages. -
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Otter-Grader
A Python and R autograding solution
...It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope. -
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Design Patterns in Swift
Design Patterns implemented in Swift
...For each pattern, you’ll typically see one or more Swift implementations, commentary on where it makes sense in a Swift architecture, and caveats about when you might prefer pure protocol composition or using functional patterns instead. The examples aim to be readable and idiomatic—not overly abstract or contrived—so developers can adopt or adapt them directly. -
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Flutter Rust Bridge
Rust binding generator, feature-rich, but seamless and simple
flutter_rust_bridge is a toolchain that generates ergonomic bindings between Rust and Dart/Flutter so you can write performance-critical logic in Rust while building UI in Flutter. It abstracts away the low-level FFI details, letting developers define Rust functions and data structures that are safely callable from Dart. The project supports passing complex types, handling async operations and streams, and integrating with Flutter across mobile and desktop targets. By leaning on Rust’s...
