Fable: F# |> BABEL
materialize
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Fable: F# |> BABEL | materialize | |
---|---|---|
60 | 117 | |
2,809 | 5,558 | |
0.6% | 0.9% | |
9.8 | 10.0 | |
7 days ago | about 24 hours ago | |
F# | Rust | |
MIT License | GNU General Public License v3.0 or later |
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.
Fable: F# |> BABEL
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Dada, an Experiement by the Creators of Rust
This conversation could be referring to https://fable.io/
Other than that, the question is indeed strange and I agree with your statements.
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Exploring a foreign F# codebase
NOTE: For larger codebases with more history it is likely that the Program.fs file will have a lot of orchestration and logic as well. given that it is often where everything clashes and starts, for example the Fable Entrypoint is in Entry.fs and it contains a lot of code. The best you can do always is to start at the bottom of the file and work your way up. Remember: Everything at the bottom uses what has already been defined at the top so there are no circular dependencies or random functions/types at the bottom that can trip you off, everything comes from the top!
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Revisiting WASM for F#
I am a big fan of going with web components + plain (build-less) javascript whenever possible, so it is not surprising that I often favor things like the Fable Compiler, where I can target my F# code directly to javascript and be as close to the native JS experience as possible, both for interop concerns and for ecosystem integration.
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A new F# compiler feature: graph-based type-checking
Fable compiler - https://fable.io/
The F# community is very friendly (these sub-communities as well), and they have plenty of good issues/opportunities to contribute OSS work to across any skill level.
Phosphor isn't hiring right now, but we expect to begin a search for FE/interface engineers over the next few month. Email [email protected] for anyone interested.
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Building React Components Using Unions in TypeScript
Naturally I’d recommend using a better language such as ReScript or Elm or PureScript or F#‘s Fable + Elmish, but “React” is the king right now and people perceive TypeScript as “less risky” for jobs/hiring, so here we are.
- Fable: an F# to Dart compiler
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Dart 3.1 and a retrospective on functional style programming in Dart
Stuff like this: https://github.com/fable-compiler/Fable/issues/1822
It just seems like an incredibly ambitious project that appears to have very little equal but is mainly worked on by a handful of people but no corporate backing. I get the feeling that if you want to use it, you'll either be the only one doing what you're doing or among just a few people. I already use F# and feel this way about the core language itself.
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Elixir – Why the dot (when calling anonymous functions)?
F# is also part of the OCaml family, has a great to-JS transpiler (https://fable.io/) and F# code can also be used in .NET projects.
- Is it possible to write games like Pac-Man in a functional language?
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URGENT HELP NEEDED! Should I learn C#, ASP.NET and the new MAUI framework?
I have heard many good things about https://fable.io/ Fable converts F# code to JavaScript. There are currently 407 packages available for interacting with existing JavaScript packages and frameworks.
materialize
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
[2] https://materialize.com/
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize, DeltaStream, and TimePlus. While they each have distinct commercial and technical approaches, their overarching goal remains consistent: to offer users cloud-based streaming database services.
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Proton, a fast and lightweight alternative to Apache Flink
> Materialize no longer provide the latest code as an open-source software that you can download and try. It turned from a single binary design to cloud-only micro-service
Materialize CTO here. Just wanted to clarify that Materialize has always been source available, not OSS. Since our initial release in 2020, we've been licensed under the Business Source License (BSL), like MariaDB and CockroachDB. Under the BSL, each release does eventually transition to Apache 2.0, four years after its initial release.
Our core codebase is absolutely still publicly available on GitHub [0], and our developer guide for building and running Materialize on your own machine is still public [1].
It is true that we substantially rearchitected Materialize in 2022 to be more "cloud-native". Our new cloud offering offers horizontal scalability and fault tolerance—our two most requested features in the single-binary days. I wouldn't call the new architecture a microservices design though! There are only 2-3 services, each quite substantial, in the new architecture (loosely: a compute service, an orchestration service, and, soon, a load balancing service).
We do push folks to sign up for a free trial of our hosted cloud offering [2] these days, rather than trying to start off by running things locally, as we generally want folks' first impression of Materialize to be of the version that we support for production use cases. A all-in-one single machine Docker image does still exist, if you know where to look, but it's very much use-at-your-own-risk, and we don't recommend using it for anything serious, but it's there to support e.g. academic work that wants to evaluate Materialize's capabilities to incrementally maintain recursive SQL queries.
If folks have questions about Materialize, we've got a lively community Slack [3] where you can connect directly with our product and engineering teams.
[0]: https://github.com/MaterializeInc/materialize/tree/main
- What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
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We Built a Streaming SQL Engine
Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.
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Ask HN: Who is hiring? (October 2023)
Materialize | Full-Time | NYC Office or Remote | https://materialize.com
Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
Materialize is the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Senior/Staff Product Manager - https://grnh.se/69754ebf4us
Senior Frontend Engineer - https://grnh.se/7010bdb64us
===
Investors include Redpoint, Lightspeed and Kleiner Perkins.
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Ask HN: Who is hiring? (June 2023)
Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/
You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
That is Materialize, the only true SQL streaming database built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Engineering Manager, Compute - https://grnh.se/4e14099f4us
Senior Product Manager - https://grnh.se/587c36804us
VP of Marketing - https://grnh.se/9caac4b04us
- What are your favorite tools or components in the Kafka ecosystem?
- Ask HN: Who is hiring? (May 2023)
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Dozer: A scalable Real-Time Data APIs backend written in Rust
How does it compare to https://materialize.com/ ?
What are some alternatives?
rescript-compiler - The compiler for ReScript.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Sutil - Lightweight front-end framework for F# / Fable. No dependencies.
risingwave - Scalable Postgres for stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.
ClojureCLR - A port of Clojure to the CLR, part of the Clojure project
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
Roslyn - The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
rust-kafka-101 - Getting started with Rust and Kafka
Feliz - A fresh retake of the React API in Fable and a collection of high-quality components to build React applications in F#, optimized for happiness
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
haxe - Haxe - The Cross-Platform Toolkit
scryer-prolog - A modern Prolog implementation written mostly in Rust.