Search Results for "rules"
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Showing 9 open source projects for "rules"
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The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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Lighthouse Ethereum
Ethereum consensus client in Rust
Lighthouse is an Ethereum consensus client that connects to other Ethereum consensus clients to form a resilient and decentralized proof-of-stake blockchain. Lighthouse is available on Linux and macOS via the Homebrew package manager. We implement the specification as defined in the ethereum/consensus-specs repository. Becoming an Ethereum consensus validator is rewarding, but it's not for the faint of heart. You'll need to be familiar with the rules of staking (e.g., rewards, penalties, etc... -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you... -
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Good Man in the Middle
Rule-based MITM engine. Rewriting, redirecting and rejecting on HTTP
Rule-based MITM engine. Rewriting, redirecting and rejecting on HTTP(S) requests and responses, supports JavaScript. -
4
Ruff
An extremely fast Python linter, written in Rust
... a pyproject.toml, ruff.toml, or .ruff.toml file (see: Configuration, or Settings for a complete list of all configuration options). Ruff supports over 500 lint rules, many of which are inspired by popular tools like Flake8, isort, pyupgrade, and others. Regardless of the rule's origin, Ruff re-implements every rule in Rust as a first-party feature. -
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5
parcel/css
A CSS parser, transformer, and minifier written in Rust
... a specific value type for each property. Built on the cssparser and selectors crates created by Mozilla and used by Firefox and Servo. These provide a solid general-purpose CSS-parsing foundation on top of which @parcel/css implements support for all specific CSS rules and properties. One of the main purposes of @parcel/css is to minify CSS to make it smaller. This includes many optimizations. -
6
Cacao
Rust bindings for AppKit (macOS) and UIKit (iOS/tvOS)
.... That said, this library is currently early stages and may have bugs - your usage of it is at your own risk. However, provided you follow the rules (regarding memory/ownership) it's already fine for some apps. The core repository has a wealth of examples to help you get started. -
7
Cherrybomb
Cherrybomb is a CLI tool that helps you avoid undefined user behaviour
Cherrybomb is an CLI tool written in Rust that helps prevent incorrect code implementation early in development. It works by validating and testing your API using an OpenAPI file. Its main goal is to reduce security errors and ensure your API functions as intended. Cherrybomb makes sure your API is working correctly. It checks your API's spec file (OpenAPI Specification) for good practices and makes sure it follows the OAS rules. Then, it tests your API for common issues and vulnerabilities... -
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git absorb
git commit --fixup, but automatic
... history modification rules. The command essentially looks at the lines that were modified, finds a changeset modifying those lines, and amends that changeset to include your uncommitted changes. If the changes can't be made without conflicts, they remain uncommitted. This workflow is insanely useful for things like applying review feedback. You just make file changes, run hg absorb and the mapping of changes to commits sorts itself out. It is magical. -
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xsv
A fast CSV command line toolkit written in Rust
xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. So grab the... -
Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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