What is Laravel Nova and what are its top alternatives?
Top Alternatives to Laravel Nova
- Apache Spark
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. ...
- Laravel Voyager
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. ...
- Laravel Spark
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. ...
The open source, developer & designer-first, Laravel + Git powered CMS built to make managing websites easy with Git. ...
Laravel Nova alternatives & related posts
- Fast and Flexible48
- One platform for every big data problem8
- Great for distributed SQL like applications7
- Easy to install and to use6
- Works well for most Datascience usecases3
- Interactive Query2
- In memory Computation2
- Machine learning libratimery, Streaming in real2
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
- 1 free instance without CC forever?1
related Wave posts
- Clean architecture533
- Growing community381
- Composer friendly359
- Open source330
- The only framework to consider for php310
- Quickly develop204
- Dependency injection163
- Application architecture151
- Embraces good community packages139
- Write less, do more68
- Orm (eloquent)64
- Restful routing62
- Database migrations & seeds51
- Artisan scaffolding and migrations50
- Great documentation36
- Awsome, Powerfull, Fast and Rapid27
- Build Apps faster, easier and better26
- Promotes elegant coding25
- Eloquent ORM23
- Modern PHP22
- Easy to learn, scalability22
- JSON friendly22
- Blade Template21
- Most easy for me21
- Based on SOLID14
- Easy to attach Middleware12
- Clean Documentation12
- Convention over Configuration11
- Easy Request Validatin10
- Easy to use9
- Its just wow8
- Laravel + Cassandra = Killer Framework8
- Get going quickly straight out of the box. BYOKDM8
- Friendly API8
- Simplistic , easy and faster7
- Super easy and powerful7
- Less dependencies7
- Its beautiful to code in6
- Great customer support6
- Minimum system requirements5
- Laravel Mix5
- The only "cons" is wrong! No static method just Facades5
- Fast and Clarify framework5
- Active Record5
- Easy views handling and great ORM4
- Laravel Nova3
- Intuitive usage3
- Ease of use3
- Cashier with Braintree and Stripe3
- Laravel Forge and Envoy3
- Laravel Horizon and Telescope3
- Laravel Passport3
- Laravel casher3
- Laravel Spark3
- Rapid development2
- Succint sintax1
- Too many dependency31
- Slower than the other two22
- A lot of static method calls for convenience17
- Too many include15
- Too underrated5
- Not fast with MongoDB3
- Difficult to learn1
- Not using SOLID principles1
related Laravel posts
I need to build a web application plus android and IOS apps for an enterprise, like an e-commerce portal. It will have intensive use of MySQL to display thousands (40-50k) of live product information in an interactive table (searchable, filterable), live delivery tracking. It has to be secure, as it will handle information on customers, sales, inventory. Here is the technology stack: Backend: Laravel 7 Frondend: Vue.js, React or AngularJS?
Need help deciding technology stack. Thanks.
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
- Great docs5
- Easy setup4
related Backpack posts
- Easy to manage362
- Plugins & themes351
- Non-tech colleagues can update website content258
- Really powerful246
- Rapid website development144
- Best documentation77
- Product feature set44
- Custom/internal social network35
- Open source16
- Great for all types of websites8
- Huge install and user base6
- It's simple and easy to use by any novice5
- Perfect example of user collaboration5
- Open Source Community5
- Most websites make use of it5
- I like it like I like a kick in the groin5
- API-based CMS4
- Easy To use3
- <a href="https://secure.wphackedhel">Easy Beginner</a>2
- Plugins are of mixed quality12
- Hard to keep up-to-date if you customize things12
- Not best backend UI9
- Complex Organization2
- 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 database6
- Version control your content6
- Surprising flexibility4
- It is based on Laravel4
- Easy templating3
- Great documentation2
- Too expensive for personal blog2
- Self hosting1
- Not user friendly2