beego
beam
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beego | beam | |
---|---|---|
22 | 30 | |
30,896 | 7,508 | |
0.6% | 1.5% | |
8.0 | 10.0 | |
6 days ago | 4 days ago | |
Go | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
beego
- GitHub Stars
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My Love Letter to Rails (and Ruby) – Or, Why RoR Isn't Dead Yet
You should probably stop because this is not a Go-way. And you wan't find anything with "batteries" other than https://github.com/gobuffalo/buffalo and https://github.com/beego/beego
Haven't see anyone actually using them in production though.
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Why hasn't rails come to JS/GO
When I googled and looked around, there are a few web frameworks for Go. Some of the ones that looked the most "cmoplete" or similar to Rails -- from my googling without really knowing the details -- were revel, gorilla, and beego. Although it looks like gorilla is no longer developed.
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Is Beego official website down ?
And beego.vip times out in my browser.
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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Can't enter the beego.vip website.
Guys, can u enter beego.vip? I can't enter the site and I have already tried to enter it with different networks provider and vpn services.
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Does Go have an equivalent to Python's Flask and Django?
High-level frameworks can easily be built in Go and have been many times. Some examples: https://github.com/gobuffalo/buffalo, https://github.com/beego/beego. There are actual reasons frameworks aren't great, but there are certainly uses for them, specifically when you need to get things done quickly. However, I'd go for a somewhat lower-level, more lightweight framework that doesn't do as much for you, like Echo.
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Go for monolithic websites ?
there are some rails like frameworks in Go too, like: https://github.com/gobuffalo/buffalo or https://github.com/beego/beego
- Does Go have a widely used framework, or it's used without anything?
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Most Popular GoLang Frameworks
Website: https://beego.vip
beam
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Ask HN: Does (or why does) anyone use MapReduce anymore?
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.).
As for the framework called MapReduce, it isn't used much, but its descendant https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.
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beam VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How do Streaming Aggregation Pipelines work?
Apache Beam is one of many tools that you can use
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Releasing Temporian, a Python library for processing temporal data, built together with Google
Flexible runtime ☁️: Temporian programs can run seamlessly in-process in Python, on large datasets using Apache Beam.
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Kafka cluster loses or duplicates messages
To perform the tests I'm using a Kafka cluster on Kubernetes from the Beam repo (here).
- Apache Beam
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Real Time Data Infra Stack
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow
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Google Cloud Reference
Apache Beam: Batch/streaming data processing 🔗Link
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Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all.
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Pub/Sub parallel processing best practices
That being said, there is a learning curve in understanding how Apache Beam works. Take a look at the beam website for more information.
What are some alternatives?
GORM - The fantastic ORM library for Golang, aims to be developer friendly
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
go-admin - A golang framework helps gopher to build a data visualization and admin panel in ten minutes
Apache Hadoop - Apache Hadoop
django-rest-framework - Web APIs for Django. 🎸
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
Beego - beego is an open-source, high-performance web framework for the Go programming language.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Laravel - Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Buffalo - Rapid Web Development w/ Go
Apache Hive - Apache Hive