Search Results for "garnet-builds-sppidy"
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Showing 10 open source projects for "garnet-builds-sppidy"
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Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
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hexyl
A command-line hex viewer
hexyl is a simple hex viewer for the terminal. It uses a colored output to distinguish different categories of bytes (NULL bytes, printable ASCII characters, ASCII whitespace characters, other ASCII characters and non-ASCII). If you run Ubuntu 19.10 (Eoan Ermine) or newer, you can install the officially maintained package. If you run Debian Buster or newer, you can also install the officially maintained Debian package. Check out the release page for binary builds. Alternatively, install from... -
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Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively, utilize ready-made client for Python or other programming languages with additional... -
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Bevy
A refreshingly simple data-driven game engine built in Rust
A refreshingly simple data-driven game engine built in Rust. All engine and game logic uses Bevy ECS, a custom Entity Component System. Massively Parallel and Cache-Friendly. The fastest ECS according to some benchmarks. Components are Rust structs, Systems are Rust functions. Queries, Global Resources, Local Resources, Change Detection, Lock-Free Parallel Scheduler. Bevy is still in the very early stages of development. APIs can and will change (now is the time to make suggestions!).... -
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Gleam
A friendly language for building type-safe, scalable systems!
... Gleam's compiler provides clear and helpful feedback about any problems. We want to spend more time developing features and less time looking for bugs or deciphering cryptic error messages. Gleam builds on top of the Erlang virtual machine, a best-in-class runtime that has enabled companies such as Discord, Ericsson, Heroku, and WhatsApp to provide low-latency services at a global scale. Gleam takes full advantage of the Erlang runtime and adds no overhead of its own. -
Boost your bottom line in less time | IBM Cognos AnalyticsIBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions.
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uutils coreutils
Cross-platform Rust rewrite of the GNU coreutils
uutils is an attempt at writing universal (as in cross-platform) CLI utilities in Rust. Many GNU, Linux and other utilities are useful, and obviously some effort has been spent in the past to port them to Windows. However, those projects are written in platform-specific C, a language considered unsafe compared to Rust, and have other issues. Rust provides a good, platform-agnostic way of writing systems utilities that are easy to compile anywhere, and this is as good a way as any to try and... -
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ROAPI
Create full-fledged APIs for slowly moving datasets without writing
Create full-fledged APIs for slowly moving datasets without writing a single line of code. ROAPI automatically spins up read-only APIs and query frontends for slowly moving datasets without requiring you to write a single line of code. It builds on top of Apache Arrow and Datafusion. Query frontends to translate SQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema... -
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llm
An ecosystem of Rust libraries for working with large language models
llm is an ecosystem of Rust libraries for working with large language models - it's built on top of the fast, efficient GGML library for machine learning. The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a... -
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Trunk
Build, bundle & ship your Rust WASM application to the web
Trunk is a WASM web application bundler for Rust. Trunk uses a simple, optional-config pattern for building & bundling WASM, JS snippets & other assets (images, CSS, SCSS) via a source HTML file. Any additional tools like wasm-bindgen and wasm-opt are automatically downloaded and managed by trunk. Therefore, no further steps are required. Get set up with your favorite wasm-bindgen based framework. Yew & Seed are the most popular options today, but there are others. Trunk will work with any... -
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rustfmt
Format Rust code
A tool for formatting Rust code according to style guidelines. You can use rustfmt in Travis CI builds. We provide a minimal Travis CI configuration (see here) and verify its status using another repository. You can run rustfmt with Rust 1.24 and above. Rustfmt tries to work on as much Rust code as possible. Sometimes, the code doesn't even need to compile! In general, we are looking to limit areas of instability; in particular, post-1.0, the formatting of most code should not change as Rustfmt... -
Sage Intacct Cloud Accounting and Financial Management SoftwareDrive your organization forward with the right solution at the right price. AI-powered continuous accounting and ERP to support your growth now and into the future.
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Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks.
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