egui
Druid
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egui | Druid | |
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203 | 24 | |
19,719 | 13,188 | |
- | 0.6% | |
9.8 | 9.9 | |
2 days ago | 5 days ago | |
Rust | Java | |
MIT OR Apache-2.0. | 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.
egui
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Egui 0.27 – easy-to-use immediate mode GUI for Rust
Thanks for the feedback!
It is definitely fixable. Take a look at https://github.com/emilk/egui/issues/996 for some examples of how others have styled egui, or try out https://app.rerun.io/
Styling is done with `ctx.set_style`, but creating a nice style isn't very easy at the moment (basically you'll have to tweak constants in code, and then recompile). I'm working on making it easier as we speak though!
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Rust for Embedded Systems: Current State, Challenges and Open Problems
Nothing is wrong with that, it’s rather a workaround, ultimately I am trying to have one language only including the UI too (been playing with egui),so I don’t have to use JavaScript.
https://github.com/emilk/egui
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We sped up time series by 20-30x
FWIW, I opened an issue: https://github.com/emilk/egui/issues/4046
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Immediate Mode GUI Programming
That's fair. I don't have experience with other immediate mode libraries. It's good to hear that it's not an intrinsic limitation
https://github.com/emilk/egui?tab=readme-ov-file#layout Here the author discusses the issue directly. They note that there are solutions to the issue, but that they all come with (in their opinion) significant drawbacks.
For my use case, if I have to do a lot of manual work to achieve what I consider behavior that should be handled by the framework, then I don't find that compelling and am inclined to use a retained mode implementation.
- Egui: Immediate mode GUI in Rust on web and native
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Ask HN: What software do you use for IoT devices and server
It totally depends on what IoT and what purpose, for example:
IIoT/PLC/industrial automation: most likely you will have to use vendors software, most if the time it’s crap, and a mix of several tech stacks like MSSQL/C#/C++
Sensors and such: depends on what are you building or using the sensors: the protocol mostly is MQTT, and if you would store it in a db postrrsql, elasticsearch, surreldb, influxdb among the most I used.
Robots/drones: on what I build, I use protobuf/grpc for performance and cross-language and direct linux socket io, and where needed websocket but mostly for any web interaction rather than the protocol itself. The tech stack for those, the embedded side is up to you or sometimes based on the sdk you are dealing with, the backend/frontend however, I used to use go/nodejs and for frontend svelte or a simple js library/framework, but recently I’m shifting and redoing everything in rust, embedded, backend and frontend (using something like egui https://github.com/emilk/egui).
When it comes to IoT, I try as much as possible to stay away from python unless you are scripting something else done in go/c++/rust, look at python as a glorified bash script, it’s useful for that or other data science work, but not in IoT.
Same goes with other tech you mentioned, it might suit one case but not another, for example, MQTT is good for sensor IoT type, but good luck controlling a drone with it, mongodb might be great to store a fleet of robots with its access credentials and such, but if you try to use it to store realtime data, it might not perform as expected, and so on.
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GUI library for fast prototyping
AFAIK the Rust equivalent to C++'s Dear ImGui is egui.
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Rerun 0.9 – a framework for visualizing streams of multimodal data
The creator of Rerun (Emil Ernerfeldt) also created egui [1], an immediate GUI library for Rust. The library is similar to Dear ImGui but it is written in Rust and can be used for desktop and web apps (compiles to WASM and uses WebGL, demo [2]). Desktop apps can target OpenGL (does not display correct colors on macOS, does not work in VirtualBox on Windows) or WGPU (uses native APIs for each platform, works without any problems, but the binary is a big larger).
[1] https://github.com/emilk/egui
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Textual Web: TUIs for the Web
> [...] you can build UIs that are snappy and keyboard driven.
That's not an advantage that is exclusive to TUIs; after all, you're running your TUI inside a graphical application that emulates a terminal. (Unless you're rocking an actual VT102, in which case I bow down to you.)
In fact there's an entire class of applications that are extremely snappy and keyboard driven, by their very nature: games.
Some people have taken to writing GUI apps like you'd write a game, and the effects range from OK to fantastic. Check out Lagrange (https://gmi.skyjake.fi/lagrange/), AppManager (https://tildegit.org/solene/AppManager), Dear ImGUI (https://github.com/ocornut/imgui), egui (https://github.com/emilk/egui), and many others.
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My Journey Away from the JAMstack
Honestly, frontend development especially with all these crowded frameworks and libraries always confused me so pardon my ignorance, which is why in a project I’m working on right now I’m trying not to use js, instead I’m using egui [1]
Zola is a static site generator and it’s crazy fast, using one binary only [2], also there’s Blades [3], same concept but supposedly faster, never tried it though.
[1] https://github.com/emilk/egui
[2] https://www.getzola.org
[3] https://getblades.org
Druid
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How to choose the right type of database
Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
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Show HN: The simplest tiny analytics tool – storywise
https://github.com/apache/druid
It's always a question of tradeoffs.
The awesome-selfhosted project has a nice list of open-source analytics projects. It's really good inspiration to dig into these projects and find out about the technology choices that other open-source tools in the space have made.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
Spencer Kimball (now CEO at CockroachDB) wrote an interesting article on this topic in 2021 where they created spencerkimball/stargazers based on a Python script. So I started thinking: could I create a data pipeline using Nifi and Kafka (two OSS tools often used with Druid) to get the API data into Druid - and then use SQL to do the analytics? The answer was yes! And I have documented the outcome below. Here’s my analytical pipeline for Github stars data using Nifi, Kafka and Druid.
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Apache Druid® - an enterprise architect's overview
Apache Druid is part of the modern data architecture. It uses a special data format designed for analytical workloads, using extreme parallelisation to get data in and get data out. A shared-nothing, microservices architecture helps you to build highly-available, extreme scale analytics features into your applications.
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Real Time Data Infra Stack
Apache Druid
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When you should use columnar databases and not Postgres, MySQL, or MongoDB
But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.
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Druids by Datadog
Datadog's product is a bit too close to Apache Druid to have named their design system so similarly.
From https://druid.apache.org/ :
> Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
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Mom at 54 is thinking about coding and a complete career shift. Thoughts?
Maybe rare for someone to be seeking their first coding job at that age. But plenty of us are in our 50s or older and still coding up a storm. And not necessarily ancient tech or anything. My current project exposes analytics data from Apache Druid and Cassandra via Go microservices hosted in K8s.
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Building an arm64 container for Apache Druid for your Apple Silicon
Fortunately, it is super easy to build your own leveraging the binary distribution and existing docker.sh.
What are some alternatives?
iced - A cross-platform GUI library for Rust, inspired by Elm
imgui - Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
Apache Cassandra - Mirror of Apache Cassandra
druid - A data-first Rust-native UI design toolkit.
Apache HBase - Apache HBase
slint - Slint is a declarative GUI toolkit to build native user interfaces for Rust, C++, or JavaScript apps.
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra
Slint - Slint is a toolkit to efficiently develop fluid graphical user interfaces for any display: embedded devices and desktop applications. We support multiple programming languages, such as Rust, C++ or JavaScript. [Moved to: https://github.com/slint-ui/slint]
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.