What is Laravel Nova and what are its top alternatives?
Top Alternatives to Laravel Nova
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. ...
It is a Laravel Admin Package that includes BREAD(CRUD) operations, a media manager, menu builder, and much more.It is a Feature packed and versatile Laravel control panel. It provides an elegant UI for controlling various features across a Laravel web application. ...
Spark is a Laravel package that provides scaffolding for all of the stuff you don't want to code. Subscription billing? We got that. Invoices? No problem. ...
It is a free, online software alternative to Quickbooks. Wave helps manage invoices, credit card payments, accounting & payroll. Best for small businesses & freelancers. ...
It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching. ...
Backpack is minimalistic build system for Node.js. Inspired by Facebook's create-react-app, Zeit's Next.js, and Remy's Nodemon, Backpack lets you create modern Node.js apps and services with zero configuration. Backpack handles all the file-watching, live-reloading, transpiling, and bundling, so you don't have to. ...
The core software is built by hundreds of community volunteers, and when you’re ready for more there are thousands of plugins and themes available to transform your site into almost anything you can imagine. Over 60 million people have chosen WordPress to power the place on the web they call “home” — we’d love you to join the family. ...
Statamic 2 is now built on Laravel and sporting a brand new Vue.js-powered control panel. As a developer you can build, configure, and manage everything right in your code editor. As a client or content manager you never have to leave the c ...
Laravel Nova alternatives & related posts
- Fast and Flexible48
- One platform for every big data problem7
- Easy to install and to use6
- Great for distributed SQL like applications6
- Works well for most Datascience usecases3
- Machine learning libratimery, Streaming in real2
- In memory Computation2
- Interactive Query0
related Apache Spark posts
The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.
Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).
At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.
For more info:
- Our Algorithms Tour: https://algorithms-tour.stitchfix.com/
- Our blog: https://multithreaded.stitchfix.com/blog/
- Careers: https://multithreaded.stitchfix.com/careers/
#DataScience #DataStack #Data
Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :
Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:
(Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )
- Out-of-the box users/roles/permissions1
- Database management1
related Laravel Voyager posts
related Laravel Spark posts
related Wave posts
- Clean architecture502
- Growing community361
- Composer friendly337
- Open source313
- The only framework to consider for php293
- Quickly develop189
- Dependency injection155
- Application architecture143
- Embraces good community packages129
- Write less, do more57
- Restful routing50
- Orm (eloquent)46
- Artisan scaffolding and migrations43
- Database migrations & seeds42
- Great documentation33
- Awsome, Powerfull, Fast and Rapid25
- Promotes elegant coding25
- Build Apps faster, easier and better24
- JSON friendly22
- Most easy for me21
- Eloquent ORM20
- Easy to learn, scalability20
- Modern PHP19
- Blade Template18
- Clean Documentation11
- Based on SOLID10
- Convention over Configuration10
- Easy to attach Middleware9
- Get going quickly straight out of the box. BYOKDM8
- Easy to use8
- Laravel + Cassandra = Killer Framework8
- Easy Request Validatin8
- Simplistic , easy and faster7
- Less dependencies7
- Its just wow7
- Super easy and powerful6
- Friendly API6
- Great customer support5
- Its beautiful to code in5
- Active Record4
- Fast and Clarify framework4
- The only "cons" is wrong! No static method just Facades4
- Easy views handling and great ORM3
- Minimum system requirements3
- Laravel Mix3
- Ease of use2
- Cashier with Braintree and Stripe2
- Laravel Spark2
- Laravel Passport2
- Laravel Nova2
- Laravel casher2
- Intuitive usage2
- Laravel Horizon and Telescope2
- Laravel Forge and Envoy2
- Touch heart artisan1
- Rapid development1
- Heart touch1
- Like heart beat1
- Laravel love live long1
- Too many dependency27
- Slower than the other two19
- A lot of static method calls for convenience15
- Too many include13
- Does not work well for file uploads in Shared Hosting4
- Too underrated3
- Not fast with MongoDB2
- Difficult to learn1
- Not using SOLID principles1
related Laravel posts
Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.
Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.
By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.
Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.
There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.
As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com
I use Laravel because it's the most advances PHP framework out there, easy to maintain, easy to upgrade and most of all : easy to get a handle on, and to follow every new technology ! PhpStorm is our main software to code, as of simplicity and full range of tools for a modern application.
Google Analytics Analytics of course for a tailored analytics, Bulma as an innovative CSS framework, coupled with our Sass (Scss) pre-processor.
To deploy, we set up Buddy to easily send the updates on our nginx / Ubuntu server, where it will connect to our GitHub Git private repository, pull and do all the operations needed with Deployer .
CloudFlare ensure the rapidity of distribution of our content, and Let's Encrypt the https certificate that is more than necessary when we'll want to sell some products with our Stripe api calls.
Asana is here to let us list all the functionalities, possibilities and ideas we want to implement.
- Great docs5
- Easy setup4
related Backpack posts
- Easy to manage358
- Plugins & themes349
- Non-tech colleagues can update website content258
- Really powerful245
- Rapid website development143
- Best documentation76
- Product feature set43
- Custom/internal social network34
- Open source13
- Great for all types of websites7
- Huge install and user base5
- Most websites make use of it4
- Open Source Community4
- Perfect example of user collaboration4
- It's simple and easy to use by any novice4
- I like it like I like a kick in the groin3
- API-based CMS3
- Easy To use2
- <a href="https://secure.wphackedhel">Easy Beginner</a>1
- Hard to keep up-to-date if you customize things11
- Plugins are of mixed quality10
- Not best backend UI8
- Complex Organization1
- Great Security1
related WordPress posts
I've heard that I have the ability to write well, at times. When it flows, it flows. I decided to start blogging in 2013 on Blogger. I started a company and joined BizPark with the Microsoft Azure allotment. I created a WordPress blog and did a migration at some point. A lot happened in the time after that migration but I stopped coding and changed cities during tumultuous times that taught me many lessons concerning mental health and productivity. I eventually graduated from BizSpark and outgrew the credit allotment. That killed the WordPress blog.
I blogged about writing again on the existing Blogger blog but it didn't feel right. I looked at a few options where I wouldn't have to worry about hosting cost indefinitely and Jekyll stood out with GitHub Pages. The Importer was fairly straightforward for the existing blog posts.
Todo * Set up redirects for all posts on blogger. The URI format is different so a complete redirect wouldn't work. Although, there may be something in Jekyll that could manage the redirects. I did notice the old URLs were stored in the front matter. I'm working on a command-line Ruby gem for the current plan. * I did find some of the lost WordPress posts on archive.org that I downloaded with the waybackmachinedownloader. I think I might write an importer for that. * I still have a few Disqus comment threads to map
Back in the days, we started looking for a date on different matrimonial websites as there were no Dating Applications. We used to create different profiles. It all changed in 2012 when Tinder, an Online Dating application came into India Market.
Tinder allowed us to communicate with our potential soul mates. That too without paying any extra money. I too got 4-6 matches in 6 years. It changed the life of many Millennials. Tinder created a revolution of its own. P.S. - I still don't have a date :(
Posting my first article. Please have a look and do give feedback.
Communication InAppChat Dating Matrimonial #messaging
- No database4
- Version control your content3
- Surprising flexibility2
- Too expensive for personal blog2
- It is based on Laravel2
- Great documentation2
- Easy templating2
- Self hosting1
- Not user friendly2