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docs/awesome/awesome-agi-cocosci.md

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* [A tale of three probabilistic families: Discriminative, descriptive, and generative models](https://www.ams.org/journals/qam/2019-77-02/S0033-569X-2018-01528-5/home.html) - ***Quarterly of Applied Mathematics***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6129609629126793774)]. [[Preprint](http://www.stat.ucla.edu/~ywu/QAM2018.pdf)]. The pattern theory of Grenander is a mathematical framework where patterns are represented by probability models on random variables of algebraic structures. In this paper, the authors review three families of probability models, namely, the discriminative models, the descriptive models, and the generative models. A discriminative model is in the form of a classifier. It specifies the conditional probability of the class label given the input signal. A descriptive model specifies the probability distribution of the signal, based on an energy function defined on the signal. A generative model assumes that the signal is generated by some latent variables via a transformation. The authors shall review these models within a common framework and explore their connections, and shall also review the recent developments that take advantage of the high approximation capacities of deep neural networks.
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* [From information scaling of natural images to regimes of statistical models](http://www.stat.ucla.edu/~sczhu/papers/Quarterly_final.pdf) - ***Quarterly of Applied Mathematics***, 2008. [[All Versions](https://scholar.google.com/scholar?start=0&hl=en&as_sdt=0,5&cluster=17387130978932998303)]. A statistical account for the shift from textons to texture.
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* [From information scaling of natural images to regimes of statistical models](https://www.jstor.org/stable/43638808?seq=1) - ***Quarterly of Applied Mathematics***, 2008. [[All Versions](https://scholar.google.com/scholar?cluster=17387130978932998303)]. [[Preprint](http://www.stat.ucla.edu/~sczhu/papers/Quarterly_final.pdf)]. One fundamental property of natural image data that distinguishes vision from other sensory tasks such as speech recognition is that scale plays a profound role in image formation and interpretation. Specifically, visual objects can appear at a wide range of scales in the images due to the change of viewing distance as well as camera resolution. The same objects appearing at different scales produce different image data with different statistical properties. In particular, this work shows that the entropy rate of the image data changes over scale. Moreover, the inferential uncertainty changes over scale too. The authors call these changes information scaling. They then examine both empirically and theoretically two prominent and yet largely isolated classes of image models, namely, wavelet sparse coding models and Markov random field models. The results indicate that the two classes of models are appropriate for two different entropy regimes: sparse coding targets low entropy regimes, whereas Markov random fields are appropriate for high entropy regimes. Because information scaling connects different entropy regimes, both sparse coding and Markov random fields are necessary for representing natural image data, and information scaling triggers transitions between these two regimes.
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* [A Theory of Generative ConvNet](https://proceedings.mlr.press/v48/xiec16.html) - ***ICML'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=11062907630625111054&hl=en&as_sdt=2005&sciodt=0,5)].
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docs/awesome/awesome-angular.md

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* [keycloakify-starter-angular-vite](https://github.com/keycloakify/keycloakify-starter-angular-vite) - Angular + Vite Starter for [Keycloakify 11](https://www.keycloakify.dev/).
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* [@rainerhahnekamp/angular-starter](https://github.com/rainerhahnekamp/angular-starter) - A starter project for a modern Angular 19 application.
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* [BoilerPlate-FirebaseAngular](https://github.com/Yewo-Devs/BoilerPlate-FirebaseAngular) - Starting point for apps built using .NET, Angular, and Firebase.
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* [extreme-angular](https://github.com/joematthews/extreme-angular) - A starter template with pre-configured dev tools that enforce best practices for creating clean, maintainable, and accessible web apps.
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##### Paid
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* [ngx-bottom-sheet](https://github.com/ArslanAmeer/ngx-bottom-sheet) - A highly customizable and lightweight Angular service that provides a mobile-friendly bottom sheet component.
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* [@marxlnfcs/ngx-grid](https://github.com/marxlnfcs/ngx-grid) - Angular library to create a simple grid layout.
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* [ngx-flexbox](https://github.com/philipibovo/ngx-flexbox) - Designed as an alternative to [@angular/flexlayout](https://github.com/angular/flex-layout), ngx-flexbox provides Angular developers with component layout features using a custom layout API, media query observables, and injected DOM flexbox-2016 CSS stylings.
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* [ngx-van](https://github.com/otodockal/ngx-van) - Tiny replacement for HTML nav element with mobile side nav menu built-in. Good old nav element on desktop, sliding side nav on mobile. No duplication.
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#### Loaders
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* [po-angular](https://github.com/po-ui/po-angular) - Component library based on Angular. Documentation in Portuguese.
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* [pastanaga-angular](https://github.com/plone/pastanaga-angular) - An Angular implementation of Pastanaga design system offering a set of re-usable UI components which are covering typical needs of any web application. It is maintained by [Plone](http://plone.org/) and [Guillotina](http://guillotina.io/) communities.
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* [ngx-nighthawk](https://github.com/evenuxjs/ngx-nighthawk) - It offers a comprehensive set of components that are highly configurable and user-friendly. This package integrates the best open-source tools, such as Bootstrip — a streamlined version of Bootstrap that focuses solely on Grid and Utility features.
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* [tableau-ui-angular](https://github.com/serionist/tableau-ui-angular) - A third-party component library that brings Tableau-style components to Angular.
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##### Material Based
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docs/awesome/awesome-cl.md

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====
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* 👍 [cl-yaml](https://github.com/eudoxia0/cl-yaml.git) - a YAML parser and emitter built on top of libyaml. [MIT][200].
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* an active fork: [cl-RemiYaml](https://nanako.mooo.com/fossil/cl-remiyaml/index) with a few fixes. Not a drop-in replacement.
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* [nyaml](https://github.com/jasom/nyaml) - A lisp native YAML parser. MIT.
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* [cl-yacclyaml](https://github.com/mabragor/cl-yaclyaml) - a pure lisp YAML processor (loader, but not yet dumper). [GPL3][2].
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* 👍 [Coalton](https://github.com/coalton-lang/coalton/) - an efficient, statically typed functional programming language that supercharges Common Lisp. [MIT][200].
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* [flime](https://github.com/fukamachi/flime) - Real-time, project-wide Coalton compilation with isolated processes for LSP integration. [MIT][200].
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* [tokyo-tojo-json](https://github.com/tojoqk/tokyo.tojo.json) - a JSON parser implemented in Coalton.
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* [coalton-threads](https://github.com/garlic0x1/coalton-threads) - primitive thread and concurrency operations for Coalton.
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* 👍 [trivial-types](https://github.com/m2ym/trivial-types) - provides missing but important type definitions such as `proper-list`, `association-list`, `property-list` and `tuple`. [LLGPL][8].
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* [defstar](https://bitbucket.org/eeeickythump/defstar/src/master/) - a collection of macros for easy inclusion of type declarations for arguments in lambda lists. [GNU GPL3][2]
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* [algebraic-data-types](https://github.com/stylewarning/cl-algebraic-data-type) - defining algebraic data types in a similar spirit to Haskell or Standard ML, as well as for operating on them. [BSD_3Clause][15].
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and tables on ANSI-compliant terminals. [GPL3][2].
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* [cl-progress-bar](https://github.com/sirherrbatka/cl-progress-bar/) - progress bars, just like in Quicklisp ! [MIT][200].
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* and [progressons](https://github.com/vindarel/progressons), a progress bar on one line, for real an dumb terminals. MIT.
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* [text-draw](https://github.com/Shinmera/text-draw) - Toolkit to draw graphics using pure Unicode text only: boxes, backgrounds, checkboxes and radio buttons, lines, arrows, tables, trees… zlib.
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Shells, shells interfaces
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-------------------------

docs/awesome/awesome-developer-first.md

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* [Codota](https://www.codota.com/) - AI code completions for your IDE.
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* [TabNine](https://www.tabnine.com/) - Deep learning completion (part of codota).
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* [Fine](https://www.fine.dev/) - Build Software with AI Agents. [![featured on launchweek.dev](https://img.shields.io/badge/featured-0D1117.svg?style=flat-square&logo=data:image/svg%2bxml;base64,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)](https://launchweek.dev)
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* [GoCodeo](https://www.gocodeo.com/)- An AI coding & testing agent.
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* [Kite](https://www.kite.com/) - AI assistant in your IDE (Python or JS).
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* [MarsCode](https://www.marscode.com/?utm_source=github&utm_medium=rm) - AI-powered cloud-based IDE.
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docs/awesome/awesome-go.md

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- [anagent](https://github.com/mudler/anagent) - Minimalistic, pluggable Golang evloop/timer handler with dependency-injection.
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- [antch](https://github.com/antchfx/antch) - A fast, powerful and extensible web crawling & scraping framework.
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- [archiver](https://github.com/mholt/archiver) - Library and command for making and extracting .zip and .tar.gz archives.
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- [archives](https://github.com/mholt/archives) - a cross-platform, multi-format Go library for working with archives and compression formats with a unified API and as virtual file systems compatible with io/fs.
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- [autoflags](https://github.com/artyom/autoflags) - Go package to automatically define command line flags from struct fields.
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- [avgRating](https://github.com/kirillDanshin/avgRating) - Calculate average score and rating based on Wilson Score Equation.
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- [banner](https://github.com/dimiro1/banner) - Add beautiful banners into your Go applications.

docs/awesome/awesome-godot.md

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- [Clipboard Narrator](https://github.com/lesleyrs/clipboard-narrator) - Turn any web page into an audiobook, works in the background on desktop!
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- [GodSVG](https://github.com/MewPurPur/GodSVG) - Tool to create optimized Scalable Vector Graphics files.
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- [Lorien](https://github.com/mbrlabs/Lorien) - Infinite-canvas drawing/whiteboarding app for Windows, Linux and macOS. Supports drawing tablets and pressure sensitivity.
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- [Material Maker](https://github.com/RodZill4/material-maker) - Create PBR materials procedurally (similar to Substance Designer).
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- [Pixelorama](https://github.com/Orama-Interactive/Pixelorama) - 2D pixel art editor.
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- [ProtonGraph](https://github.com/protongraph/protongraph) - Node-based tool for procedural content creation. Like visual scripting, but for 3D model generation (needs custom engine modules).
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- [Arrow](https://github.com/mhgolkar/Arrow) - A tool to design game narratives with nodes.
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- [GATT - Godot Autotile Texture Templater](https://github.com/sesopenko/gatt) - A tool for generating 2x2 and 3x3 autotile tilesets in whichever size and colour needed.
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- [Godello](https://github.com/alfredbaudisch/Godello) - A Trello-like kanban board application made with Godot. A proof of concept for complex non-game applications with Godot, as well real-time online interactions between multiple users. Includes backend code.
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- [Material Maker](https://github.com/RodZill4/material-maker) - Create PBR materials procedurally (similar to Substance Designer).
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- [SimulaVR](https://github.com/SimulaVR/Simula) - A VR window manager for Linux, built on top of Godot engine.
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- [vpuppr](https://github.com/virtual-puppet-project/vpuppr) - A cross-platform VTuber application with mulitple tracking backends.
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docs/awesome/awesome-lidar.md

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- [SuperPoint Graph ![](https://img.shields.io/badge/paper-blue?style=flat-square&logo=semanticscholar)](https://arxiv.org/pdf/1711.09869.pdf)- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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- [GitHub repository ![](https://img.shields.io/badge/github-black?style=flat-square&logo=github)](https://github.com/loicland/superpoint_graph)
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- [YouTube video ![](https://img.shields.io/badge/youtube-red?style=flat-square&logo=youtube)](https://www.youtube.com/watch?v=Ijr3kGSU_tU)
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- [SuperPoint Transformer ![](https://img.shields.io/badge/paper-blue?style=flat-square&logo=semanticscholar)](https://arxiv.org/pdf/2306.08045.pdf)- Efficient 3D Semantic Segmentation with Superpoint Transformer
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- [GitHub repository ![](https://img.shields.io/badge/github-black?style=flat-square&logo=github)](https://github.com/drprojects/superpoint_transformer)
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- [YouTube video ![](https://img.shields.io/badge/youtube-red?style=flat-square&logo=youtube)](https://www.youtube.com/watch?v=2qKhpQs9gJw)
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- [RandLA-Net ![](https://img.shields.io/badge/paper-blue?style=flat-square&logo=semanticscholar)](https://arxiv.org/pdf/1911.11236.pdf) - Efficient Semantic Segmentation of Large-Scale Point Clouds
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- [GitHub repository ![](https://img.shields.io/badge/github-black?style=flat-square&logo=github)](https://github.com/QingyongHu/RandLA-Net)
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- [YouTube video ![](https://img.shields.io/badge/youtube-red?style=flat-square&logo=youtube)](https://www.youtube.com/watch?v=Ar3eY_lwzMk)

docs/awesome/awesome-microservices.md

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- [Spring Cloud Config](http://cloud.spring.io/spring-cloud-config/) - Provides server and client-side support for externalized configuration in a distributed system.
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- [ZooKeeper](https://zookeeper.apache.org/) - Open source server which enables highly reliable distributed coordination.
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- [AWS Step Functions (c)](https://aws.amazon.com/step-functions/) - Coordinate the components of distributed applications and microservices using visual workflows.
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- [Cadence](https://cadenceworkflow.io/) - Fault-oblivious stateful code platform.
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- [Conductor](https://github.com/Netflix/conductor) - A microservices orchestration engine.
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- [Inngest](https://github.com/inngest/inngest) - Durable functions for reliable background logic, from background jobs to complex workflows.
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- [Kestra](https://github.com/kestra-io/kestra) - Open source microservices event-driven, language-agnostic orchestration and scheduling platform.
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- [Temporal](https://github.com/temporalio/temporal) - Open source microservices orchestration platform for running mission critical code at any scale.
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- [Zeebe](https://camunda.com/platform/zeebe/) - Define, orchestrate, and monitor business processes across microservices.

docs/awesome/awesome-wpo.md

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- [ImageEngine](https://imageengine.io) - Cloud service for optimizing, resizing and caching images on the fly with great mobile support.
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- [ImageKit.io](https://imagekit.io) - Intelligent real-time image optimizations, image transformations with a global delivery network and storage.
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- [Optimizt](https://github.com/funbox/optimizt) - CLI image optimization tool. It can compress PNG, JPEG, GIF and SVG lossy and lossless and create WebP versions for raster images.
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- [ResponsiveImage](https://responsive-image.dev/) - Generate optimized images (WebP, AVIF) and LQIP placeholders using Vite or webpack plugins and render responsive image markup with an image component for multiple frameworks.
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docs/awesome/free-for-dev.md

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* [Pulsetic](https://pulsetic.com) - 10 monitors, 6 Months of historical Uptime/Logs, unlimited status pages, and custom domains included! For infinite time and unlimited email alerts for free. You don't need a credit card.
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* [Wachete](https://www.wachete.com) - monitor five pages, checks every 24 hours.
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* [Xitoring.com](https://xitoring.com/) — Uptime monitoring: 20 free, Linux and Windows Server monitoring: 5 free, Status page: 1 free - Mobile app, multiple notification channel, and much more!
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* [Servervana](https://servervana.com) - Advanced uptime monitoring with support for large projects and teams. Provides HTTP monitoring, Browser based monitoring, DNS monitoring, domain monitoring, status pages and more. The free tier includes 10 HTTP monitors, 1 DNS monitor and one status page.
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docs/awesome/static-analysis.md

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- [sass-lint](https://github.com/sasstools/sass-lint) :warning: — A Node-only Sass linter for both sass and scss syntax.
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- [scsslint](https://github.com/brigade/scss-lint) — Linter for SCSS files.
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- [scsslint](https://github.com/brigade/scss-lint) :warning: — Linter for SCSS files.
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- [Specificity Graph](https://jonassebastianohlsson.com/specificity-graph) — CSS Specificity Graph Generator.
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- [mdformat](https://mdformat.rtfd.io) — CommonMark compliant Markdown formatter
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- [mdl](https://github.com/mivok/markdownlint) — A tool to check Markdown files and flag style issues.
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- [mdl](https://github.com/mivok/markdownlint) :warning: — A tool to check Markdown files and flag style issues.
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- [mdsf](https://github.com/hougesen/mdsf) — Format markdown code blocks using your favorite code formatters.
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