Alternatives to Deno logo

Alternatives to Deno

Node.js, Go, Rust, Python, and npm are the most popular alternatives and competitors to Deno.
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What is Deno and what are its top alternatives?

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.
Deno is a tool in the Javascript Utilities & Libraries category of a tech stack.

Top Alternatives to Deno

  • Node.js

    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • Go

    Go

    Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. ...

  • Rust

    Rust

    Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory. ...

  • Python

    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

  • npm

    npm

    npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day. ...

  • Modernizr

    Modernizr

    It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer. ...

  • Modernizr

    Modernizr

    It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer. ...

  • fancybox

    fancybox

    It is a tool that offers a nice and elegant way to add zooming functionality for images, html content and multi-media on your webpages. It is built on the top of the popular JavaScript framework jQuery and is both easy to implement and a snap to customize. ...

Deno alternatives & related posts

Node.js logo

Node.js

124.7K
103.3K
8.4K
A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
124.7K
103.3K
+ 1
8.4K
PROS OF NODE.JS
  • 1.4K
    Npm
  • 1.3K
    Javascript
  • 1.1K
    Great libraries
  • 1K
    High-performance
  • 795
    Open source
  • 484
    Great for apis
  • 474
    Asynchronous
  • 420
    Great community
  • 390
    Great for realtime apps
  • 295
    Great for command line utilities
  • 81
    Node Modules
  • 80
    Websockets
  • 67
    Uber Simple
  • 57
    Great modularity
  • 56
    Allows us to reuse code in the frontend
  • 40
    Easy to start
  • 35
    Great for Data Streaming
  • 31
    Realtime
  • 26
    Awesome
  • 24
    Non blocking IO
  • 17
    Can be used as a proxy
  • 16
    High performance, open source, scalable
  • 15
    Non-blocking and modular
  • 14
    Easy and Fun
  • 12
    Easy and powerful
  • 12
    Same lang as AngularJS
  • 11
    Future of BackEnd
  • 10
    Fast
  • 9
    Fullstack
  • 9
    Scalability
  • 9
    Cross platform
  • 8
    Simple
  • 7
    Mean Stack
  • 6
    Great for webapps
  • 6
    Easy concurrency
  • 5
    Friendly
  • 5
    Fast, simple code and async
  • 5
    React
  • 4
    Great speed
  • 4
    Fast development
  • 4
    Its amazingly fast and scalable
  • 4
    Control everything
  • 4
    Easy to use and fast and goes well with JSONdb's
  • 4
    Typescript
  • 4
    Scalable
  • 3
    It's fast
  • 3
    Easy to use
  • 3
    Isomorphic coolness
  • 2
    Sooper easy for the Backend connectivity
  • 2
    Easy to learn
  • 2
    TypeScript Support
  • 2
    Scales, fast, simple, great community, npm, express
  • 2
    One language, end-to-end
  • 2
    Javascript2
  • 2
    Not Python
  • 2
    Performant and fast prototyping
  • 2
    Blazing fast
  • 2
    Great community
  • 2
    Less boilerplate code
  • 2
    Easy
  • 1
    Lovely
  • 1
    Event Driven
CONS OF NODE.JS
  • 46
    Bound to a single CPU
  • 42
    New framework every day
  • 35
    Lots of terrible examples on the internet
  • 29
    Asynchronous programming is the worst
  • 23
    Callback
  • 16
    Javascript
  • 11
    Dependency based on GitHub
  • 10
    Dependency hell
  • 10
    Low computational power
  • 7
    Can block whole server easily
  • 6
    Very very Slow
  • 6
    Callback functions may not fire on expected sequence
  • 3
    Unneeded over complication
  • 3
    Unstable
  • 3
    Breaking updates
  • 1
    No standard approach

related Node.js posts

Nick Rockwell
SVP, Engineering at Fastly · | 44 upvotes · 1.7M views

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

See more
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Go logo

Go

13.8K
11.4K
3.1K
An open source programming language that makes it easy to build simple, reliable, and efficient software
13.8K
11.4K
+ 1
3.1K
PROS OF GO
  • 528
    High-performance
  • 385
    Simple, minimal syntax
  • 350
    Fun to write
  • 293
    Easy concurrency support via goroutines
  • 265
    Fast compilation times
  • 186
    Goroutines
  • 176
    Statically linked binaries that are simple to deploy
  • 146
    Simple compile build/run procedures
  • 132
    Backed by google
  • 129
    Great community
  • 48
    Garbage collection built-in
  • 40
    Built-in Testing
  • 39
    Excellent tools - gofmt, godoc etc
  • 36
    Elegant and concise like Python, fast like C
  • 32
    Awesome to Develop
  • 24
    Used for Docker
  • 23
    Flexible interface system
  • 21
    Great concurrency pattern
  • 21
    Deploy as executable
  • 18
    Open-source Integration
  • 15
    Fun to write and so many feature out of the box
  • 14
    Easy to read
  • 13
    Go is God
  • 13
    Its Simple and Heavy duty
  • 12
    Easy to deploy
  • 12
    Powerful and simple
  • 10
    Best language for concurrency
  • 10
    Concurrency
  • 9
    Rich standard library
  • 9
    Safe GOTOs
  • 8
    Clean code, high performance
  • 8
    Easy setup
  • 7
    High performance
  • 7
    Hassle free deployment
  • 7
    Simplicity, Concurrency, Performance
  • 6
    Used by Giants of the industry
  • 6
    Single binary avoids library dependency issues
  • 5
    Cross compiling
  • 5
    Simple, powerful, and great performance
  • 4
    Excellent tooling
  • 4
    WYSIWYG
  • 4
    Very sophisticated syntax
  • 4
    Gofmt
  • 4
    Garbage Collection
  • 3
    Kubernetes written on Go
  • 2
    Keep it simple and stupid
  • 2
    Widely used
  • 0
    No generics
  • 0
    Operator goto
CONS OF GO
  • 41
    You waste time in plumbing code catching errors
  • 25
    Verbose
  • 22
    Packages and their path dependencies are braindead
  • 15
    Dependency management when working on multiple projects
  • 14
    Google's documentations aren't beginer friendly
  • 10
    Automatic garbage collection overheads
  • 8
    Uncommon syntax
  • 6
    Type system is lacking (no generics, etc)
  • 2
    Collection framework is lacking (list, set, map)

related Go posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Nick Parsons
Director of Developer Marketing at Stream · | 35 upvotes · 1.4M views

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages

See more
Rust logo

Rust

2.8K
3.2K
1K
A safe, concurrent, practical language
2.8K
3.2K
+ 1
1K
PROS OF RUST
  • 131
    Guaranteed memory safety
  • 118
    Fast
  • 76
    Open source
  • 72
    Minimal runtime
  • 64
    Pattern matching
  • 58
    Type inference
  • 53
    Algebraic data types
  • 50
    Concurrent
  • 44
    Efficient C bindings
  • 41
    Practical
  • 34
    Best advances in languages in 20 years
  • 27
    Fix for C/C++
  • 26
    Safe, fast, easy + friendly community
  • 20
    Closures
  • 20
    Stablity
  • 17
    Zero-cost abstractions
  • 15
    Extensive compiler checks
  • 14
    Great community
  • 12
    No NULL type
  • 11
    Completely cross platform: Windows, Linux, Android
  • 10
    No Garbage Collection
  • 10
    Async/await
  • 9
    Great documentations
  • 9
    Super fast
  • 9
    High-performance
  • 8
    High performance
  • 8
    Safety no runtime crashes
  • 7
    Generics
  • 7
    Fearless concurrency
  • 7
    Guaranteed thread data race safety
  • 6
    RLS provides great IDE support
  • 6
    Painless dependency management
  • 6
    Prevents data races
  • 6
    Easy Deployment
  • 6
    Helpful compiler
  • 6
    Compiler can generate Webassembly
  • 5
    Macros
  • 3
    Real multithreading
  • 2
    Good package management
  • 2
    Support on Other Languages
CONS OF RUST
  • 24
    Hard to learn
  • 22
    Ownership learning curve
  • 8
    Unfriendly, verbose syntax
  • 3
    Many type operations make it difficult to follow
  • 3
    High size of builded executable
  • 3
    Variable shadowing
  • 2
    No jobs

related Rust posts

James Cunningham
Operations Engineer at Sentry · | 18 upvotes · 110.6K views
Shared insights
on
PythonPythonRustRust
at

Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.

For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).

See more
Jakub Olan
Node.js Software Engineer · | 17 upvotes · 253.4K views

In our company we have think a lot about languages that we're willing to use, there we have considering Java, Python and C++ . All of there languages are old and well developed at fact but that's not ideology of araclx. We've choose a edge technologies such as Node.js , Rust , Kotlin and Go as our programming languages which is some kind of fun. Node.js is one of biggest trends of 2019, same for Go. We want to grow in our company with growth of languages we have choose, and probably when we would choose Java that would be almost impossible because larger languages move on today's market slower, and cannot have big changes.

See more
Python logo

Python

151.4K
124K
6.5K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
151.4K
124K
+ 1
6.5K
PROS OF PYTHON
  • 1.1K
    Great libraries
  • 933
    Readable code
  • 824
    Beautiful code
  • 771
    Rapid development
  • 674
    Large community
  • 420
    Open source
  • 380
    Elegant
  • 270
    Great community
  • 262
    Object oriented
  • 209
    Dynamic typing
  • 71
    Great standard library
  • 53
    Very fast
  • 50
    Functional programming
  • 37
    Scientific computing
  • 36
    Easy to learn
  • 31
    Great documentation
  • 25
    Matlab alternative
  • 23
    Productivity
  • 23
    Easy to read
  • 20
    Simple is better than complex
  • 18
    It's the way I think
  • 17
    Imperative
  • 15
    Very programmer and non-programmer friendly
  • 15
    Free
  • 14
    Powerfull language
  • 14
    Powerful
  • 13
    Fast and simple
  • 12
    Scripting
  • 11
    Machine learning support
  • 9
    Explicit is better than implicit
  • 8
    Ease of development
  • 8
    Unlimited power
  • 8
    Clear and easy and powerfull
  • 7
    Import antigravity
  • 6
    Print "life is short, use python"
  • 6
    It's lean and fun to code
  • 5
    Fast coding and good for competitions
  • 5
    Flat is better than nested
  • 5
    There should be one-- and preferably only one --obvious
  • 5
    Python has great libraries for data processing
  • 5
    High Documented language
  • 5
    I love snakes
  • 5
    Although practicality beats purity
  • 5
    Great for tooling
  • 4
    Readability counts
  • 3
    Plotting
  • 3
    CG industry needs
  • 3
    Beautiful is better than ugly
  • 3
    Complex is better than complicated
  • 3
    Great for analytics
  • 3
    Multiple Inheritence
  • 3
    Now is better than never
  • 3
    Lists, tuples, dictionaries
  • 3
    Rapid Prototyping
  • 3
    Socially engaged community
  • 2
    List comprehensions
  • 2
    Web scraping
  • 2
    Many types of collections
  • 2
    Ys
  • 2
    Easy to setup and run smooth
  • 2
    Generators
  • 2
    Special cases aren't special enough to break the rules
  • 2
    If the implementation is hard to explain, it's a bad id
  • 2
    If the implementation is easy to explain, it may be a g
  • 2
    Simple and easy to learn
  • 2
    Import this
  • 2
    No cruft
  • 2
    Easy to learn and use
  • 1
    Better outcome
  • 1
    It is Very easy , simple and will you be love programmi
  • 1
    Powerful language for AI
  • 1
    Should START with this but not STICK with This
  • 1
    Flexible and easy
  • 1
    Batteries included
  • 1
    Good
  • 1
    A-to-Z
  • 1
    Only one way to do it
  • 1
    Because of Netflix
  • 1
    Pip install everything
  • 0
    Powerful
  • 0
    Pro
CONS OF PYTHON
  • 51
    Still divided between python 2 and python 3
  • 29
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 21
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Dynamic typing
  • 12
    Hard to understand
  • 10
    Very slow
  • 8
    Not everything is expression
  • 7
    Indentations matter a lot
  • 7
    Explicit self parameter in methods
  • 6
    No anonymous functions
  • 6
    Poor DSL capabilities
  • 6
    Incredibly slow
  • 6
    Requires C functions for dynamic modules
  • 5
    The "lisp style" whitespaces
  • 5
    Fake object-oriented programming
  • 5
    Hard to obfuscate
  • 5
    Threading
  • 4
    Circular import
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Official documentation is unclear.
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

related Python posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Nick Parsons
Director of Developer Marketing at Stream · | 35 upvotes · 1.4M views

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages

See more
npm logo

npm

69.6K
53.9K
1.6K
The package manager for JavaScript.
69.6K
53.9K
+ 1
1.6K
PROS OF NPM
  • 649
    Best package management system for javascript
  • 383
    Open-source
  • 327
    Great community
  • 148
    More packages than rubygems, pypi, or packagist
  • 112
    Nice people matter
  • 6
    Audit feature
  • 5
    As fast as yarn but really free of facebook
  • 4
    Good following
  • 1
    Super fast
  • 1
    Stability
CONS OF NPM
  • 5
    Problems with lockfiles
  • 5
    Bad at package versioning and being deterministic
  • 3
    Node-gyp takes forever
  • 1
    Super slow

related npm posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 25 upvotes · 2.1M views

Our whole Node.js backend stack consists of the following tools:

  • Lerna as a tool for multi package and multi repository management
  • npm as package manager
  • NestJS as Node.js framework
  • TypeScript as programming language
  • ExpressJS as web server
  • Swagger UI for visualizing and interacting with the API’s resources
  • Postman as a tool for API development
  • TypeORM as object relational mapping layer
  • JSON Web Token for access token management

The main reason we have chosen Node.js over PHP is related to the following artifacts:

  • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
  • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
  • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
  • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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Johnny Bell

So when starting a new project you generally have your go to tools to get your site up and running locally, and some scripts to build out a production version of your site. Create React App is great for that, however for my projects I feel as though there is to much bloat in Create React App and if I use it, then I'm tied to React, which I love but if I want to switch it up to Vue or something I want that flexibility.

So to start everything up and running I clone my personal Webpack boilerplate - This is still in Webpack 3, and does need some updating but gets the job done for now. So given the name of the repo you may have guessed that yes I am using Webpack as my bundler I use Webpack because it is so powerful, and even though it has a steep learning curve once you get it, its amazing.

The next thing I do is make sure my machine has Node.js configured and the right version installed then run Yarn. I decided to use Yarn because when I was building out this project npm had some shortcomings such as no .lock file. I could probably move from Yarn to npm but I don't really see any point really.

I use Babel to transpile all of my #ES6 to #ES5 so the browser can read it, I love Babel and to be honest haven't looked up any other transpilers because Babel is amazing.

Finally when developing I have Prettier setup to make sure all my code is clean and uniform across all my JS files, and ESLint to make sure I catch any errors or code that could be optimized.

I'm really happy with this stack for my local env setup, and I'll probably stick with it for a while.

See more
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Modernizr

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0
Respond to your user’s browser features
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0
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      Modernizr

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          JavaScript lightbox library for presenting various types of media
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