rust
solana
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rust | solana | |
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9 | 288 | |
4,971 | 11,981 | |
1.9% | 4.2% | |
5.2 | 10.0 | |
5 months ago | 6 days ago | |
Rust | Rust | |
Apache License 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.
rust
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Have you ever wanted a library to check for 69 in a string?
You can use Tensorflow for Rust to simplify that task and avoid pain with regex. Just have the right mindset.
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Making a better Tensorflow thanks to strong typing
What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.
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Integrating machine learning models into Rust applications?
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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Why Static Languages Suffer From Complexity
TensorFlow has language support for TypeScript well as Rust.
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Is PyO3 library production ready?
Thank you for the restponse! With tensorflow I am probably better of with something like; [tensorflow rust bindings](https://github.com/tensorflow/rust/tree/master/src). But I believe some useful extensions are still written in python for example; [TFDV](https://github.com/tensorflow/data-validation).. and how about scikit-learn or even something that is simpler like fb-prophet that is entirely written in python?
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How mature is the QT integration?
Tensorflow bindings exist, technically, but they're in a pretty rough state AFAIK.
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
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Rusticles #10 - Wed Sep 09 2020
tensorflow/rust (Rust): Rust language bindings for TensorFlow
solana
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Projects to contribute to
Solana (9700 GitHub Stars) https://github.com/solana-labs/solana
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DuneAnalytics - A Guide to Solana for Ethereum Analysts
EIP Core standards: Changes to Solana’s core code go through “feature gates” in the Solana repo. Yes, it’s much less organized than the EIP pages you are used to, and a headache to understand or keep up with. A cost of the speed of development, I’m told.
- Rust Cryptography Should Be Written in Rust
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Top 10+ Blockchain Networks to look for in 2023
Solana
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Blockchains: Ethereum vs Solana vs Avalanche vs MultiversX (Elrond). What are the differences?
With the introduction of new and advanced blockchain platforms in the Web 3.0 scene, the narrative around Ethereum has slowly shifted towards its younger “Ethereum Alternatives”. Solana, Avalanche, and MultiversX (former Elrond) are some of the crypto blockchains that are given this terminology, as they share similar features but are comparatively cheaper and better than Ethereum.
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Solana Foundation just held the first-ever core dev community call with engineering teams from across the ecosystem, here's what was discussed!
Some topics that may be discussed in the next call include @ShinobiSystems Timely Vote Credits proposal (https://github.com/solana-labs/solana/blob/master/docs/src/proposals/timely-vote-credits.md), @elusivprivacy new built-in cryptographic operations to accelerate ZK verification (for privacy tech), and feature activation coordination standards.
- Can Solana defeat the bears? Its development activity suggests….
- Real Question: Is Solana losing developers?
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Recent positives around Solana's network performance and things that I'm looking forward to :)
2) Improved throughput. There are a few different algorithms that have been developed by Jito Labs and Solana Labs to improve the amount of parallelism happening during block packing (when a leader validator builds a block from transactions) and replay (when other validators replay blocks to make sure they're good). Solana validators have super good hardware but we don't even use that many of the cpu threads for actually executing transactions, and the current block space limits (48 million compute units) were conceived for the use of 4 cpu threads (our validator server has 48 cpu threads). The older block packing algorithm was also really bad at handling situations where a certain transaction type was spammed heavily (nft mints for example) and degraded parallelism. Anyway, it seems that these newer replay algorithms are over 2x better than the current implementations -- you can find more about them in the depths of github or discord. Some seem close to production-ready and I think we will see faster confirmation times and increasing of the block compute limits. ABIv2 is another architectural change that will substantially improve throughput as well (afaik) but I know less on this subject. I'm not sure when this will be ready but I've heard that the earlier half of the year is the target https://github.com/solana-labs/solana/issues/27384. There are other upcoming changes to look forward to, but it's probably best to summarize in another post.
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Popular Youtuber (InvestAnswerts) spreading Algo fake news / incorrect metrics / general fudding all while shilling SOL
Lastly, Algorand IS fast: 6k TPS with 3.7s blocks, soon 10k TPS with 2.5s, and in a not-too-distant future 46k TPS, all of which with instant finality. Algorand IS cheap, and actually exactly as cheap as Solana now ($0.00025/txn: https://solana.com/ & https://metrics.algorand.org/#/protocol/), but with the added benefit that all transactions (whether they're NFTs, non-native assets, or using smart-contracts) are handled the same by the protocol, so same speed and same fees as regular payments. Lastly, Algorand IS clean: it's so clean in fact that it's almost carbon-neutral on a regular basis, but really it's carbon negative because fees are automatically used to offset the remaining carbon emissions with ClimateTrade (see this report, even though it doesn’t take into account recent upgrades in scalability and not comparing smart-contract transactions, so Algorand would be first on top in reality: https://arxiv-export1.library.cornell.edu/pdf/2109.03667).
What are some alternatives?
opensea-js - TypeScript SDK for the OpenSea marketplace
solana-docker-mac-m1 - Docker config for Mac M1, to support development on Solana
cardano-node - The core component that is used to participate in a Cardano decentralised blockchain.
cosmos-sdk - :chains: A Framework for Building High Value Public Blockchains :sparkles:
mx-chain-go - ⚡ The official implementation of the MultiversX blockchain protocol, written in golang.
trezor-firmware - :lock: Trezor Firmware Monorepo
metaplex - A directory of what the Metaplex Foundation works on!
nano-node - Nano is digital currency. Its ticker is: XNO and its currency symbol is: Ӿ
Zilliqa - Zilliqa is the world's first high-throughput public blockchain platform - designed to scale to thousands of transactions per second.
mina-vrf-rs
example-helloworld - Hello world on Solana
go-ethereum - Official Go implementation of the Ethereum protocol