MathAnimation
materialize
MathAnimation | materialize | |
---|---|---|
4 | 120 | |
959 | 5,627 | |
- | 1.1% | |
3.5 | 10.0 | |
8 days ago | 3 days ago | |
C++ | Rust | |
- | 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.
MathAnimation
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Ask HN: Tell us about your project that's not done yet but you want feedback on
https://github.com/ambrosiogabe/MathAnimation
If you’ve ever tried to make a mathematical animation (think 3Blue1Brown), it’s a real pain. I was using manim for awhile to make animations for my YT channel, but the whole iteration process felt very slow and repetitive. So I thought I would recreate manim over the weekend, except with a GUI and real-time feedback. It’s been a year and a half and I’m hoping this weekend will be done soon so I can move on and start making videos again.
So far, it does a lot, but it still needs a lot of polish and refinement. The readme gives some gifs and a better idea of the feature set right now.
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The Worst API Ever Made
Win32 definitely has some stinkers. But, video encoding APIs definitely take the cake for me. I've only tried a couple of FFmpeg's APIs and AV1's API, but my God, these are the worst API's I've ever had to deal with.
Just as an example, all I wanted was an API like this[0] for FFmpeg. In order to implement that API (which in my opinion is reasonable), I had to write this monstrosity[1]. It took me a solid week to find an example of how to do this, then another few days of fiddling until I finally just barely got something working. Then I threw in the towel even though the performance was horrible. I tried again a year later and spent another month wrestling with AV1 :/
The amount of leakage going on in these APIs is absolutely insane. I shouldn't have to know the intimate details of how video encoding works to use your library. If I do, then I may as well write my own encoder at that point.
[0]: https://github.com/ambrosiogabe/MathAnimation/blob/18c004bca...
[1]: https://github.com/ambrosiogabe/MathAnimation/blob/18c004bca...
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Show HN: Mafs – React components for interactive math
I just so happen to be working on a real-time Gui first replacement for manim :)
It still has a ways to go, but I was able to create one video with it so far and I'm working on all the pain points I ran into while using it. Feel free to check it out if you're interested!
https://github.com/ambrosiogabe/MathAnimation
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Ask HN: Who is using C++ as the main language for new project?
I'm using C++ for a minecraft clone that I've been tinkering on for the past year[0]. I also plan on using embedded lua for scripting, and I'm using RML UI for game HUDs, ImGui for development tools, and OpenGL for graphics. I use premake for my build system but plan on switching to CMake.
I'm also using it for an animation tool[1]. I've been using 3Blue1Brown's Manim (written in Python) which is amazing, but it lacks real-time editing and proper 3D blending. It also lacks audio synchronization, 3D texture support, and some more complex features that I'd like to add :)
[0]: https://youtu.be/UAUdIQZKV88
[1]: https://github.com/ambrosiogabe/MathAnimation
materialize
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The Notifier Pattern for Applications That Use Postgres
Those updates are not retroactive. They apply on a go forward basis. Each day's changes become Apache 2.0 licensed on that day four years in the future.
For example, v0.28 was released on October 18, 2022, and becomes Apache 2.0 licensed four years after that date (i.e., 2.5 years from today), on October 18, 2026.
[0]: https://github.com/MaterializeInc/materialize/blob/76cb6647d...
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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.
https://github.com/timelydataflow/differential-dataflow
https://materialize.com/
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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)
What are some alternatives?
k8deployer - An experimental deployer for kubernetes apps for developers who are too lazy (or busy) to learn Helm.
ClickHouse - ClickHouse® is a real-time analytics DBMS
wisewriterv3 - From an input, creates a full book, with cover art and sells it on Amazon. Using OpenAI for content, Midjourney for covers, and puppeteer for product input.
risingwave - SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
israpdead_react - wip react rebuild of israpisdead. v1 is live now
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.
shelby_as_a_service - Production-ready LLM Agents. Just add API keys
rust-kafka-101 - Getting started with Rust and Kafka
LoopModels - "Full speed or nothing." - James Hetfield
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
slint - Slint is a declarative GUI toolkit to build native user interfaces for Rust, C++, or JavaScript apps.
scryer-prolog - A modern Prolog implementation written mostly in Rust.