MathAnimation VS materialize

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.

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...

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

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

[2] https://materialize.com/

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.

> 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

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/

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.

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

How does it compare to https://materialize.com/ ?