skytable
neuronika
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skytable | neuronika | |
---|---|---|
21 | 19 | |
2,249 | 1,033 | |
11.1% | 1.3% | |
9.2 | 0.0 | |
6 days ago | over 1 year ago | |
Rust | Rust | |
GNU Affero General Public License v3.0 | 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.
skytable
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Show HN: Skytable's new NoSQL engine BlueQL with injection safety, improved perf
Hey HN!
I've been working on Skytable since 2020 and after several iterations from a simple K/V store, we've walked the path to this release. The goal of Skytable is to deliver a solid foundation for building data intensive applications.
Skytable's primary goal is performance and scale. Even with a query language it can outperform K/V stores which use simple commands (benchmarks will be shared in another post).
Several implementations in Skytable (especially around query evaluation and execution) are fundamentally different from SQL and even NoSQL counterparts and there are some entirely new concepts which might make it a little hard to grasp.
BlueQL is a very important part of Skytable and it employs some interesting concepts to try and reduce the surface for injection attacks and tries to be a modern and secure alternative to SQL.
- Source code: https://github.com/skytable/skytable
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Updated: Understanding the working of Skytable's NoSQL engine
For those who were looking for the source code, here's the link: https://github.com/skytable/skytable
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Skytable’s new NoSQL engine released: BlueQL, injection protection, collections and performance improvements
Link to source code: https://github.com/skytable/skytable
Here are some quick links: - Source code: https://github.com/skytable/skytable - Rust driver: https://github.com/skytable/client-rust
- Skytable
- Skytable Octave was just released with BlueQL, advanced data modeling, complex collections and rich querying ✨🚀🎱. Tell us what you think!
- Skytable NoSQL Database: Even with BlueQL, Skytable Outperforms Redis and KeyDB
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The first version of Redis, written in Tcl
I think this is relevant... These are 3 OSS databases that can be an alternative to Redis:
- KeyDB: https://github.com/snapchat/keydb
- Dragonfly: https://github.com/dragonflydb/dragonfly
- Skytable: https://github.com/skytable/skytable
I have used keyDB before. The raft consensus makes building an HA Redis easy.
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Skytable PHP Client
:) in fact, I copied the definition from the project page and Skytable is not finished project yet. You can see here, the real time features in the road map. https://github.com/skytable/skytable/issues/203
- skytable / skytable :
neuronika
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
Also perhaps comparing to Neuronika.
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Making a better Tensorflow thanks to strong typing
how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?
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[D] To what extent can Rust be used for Machine Learning?
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs
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What do I need for an ML/DL based scripting language in Rust?
Also you can take a look at neuronika.
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ML in Rust
There is also https://github.com/neuronika/neuronika
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Enzyme: Towards state-of-the-art AutoDiff in Rust
I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
If you like autograd you will love neuronika
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bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far)
After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.
What are some alternatives?
ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
KeyDB - A Multithreaded Fork of Redis
clblast-rs - clblast bindings for rust
dragonfly - A modern replacement for Redis and Memcached
autograph - Machine Learning Library for Rust
calligrapher-ai - Handwriting Synthesis with RNNs ✍🏻
are-we-learning-yet - How ready is Rust for Machine Learning?
oxigraph - SPARQL graph database
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
sky-benches - Attempts at benchmarking Skytable with the others to see where we stand
tractjs - Run ONNX and TensorFlow inference in the browser.