Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀 (by vaaaaanquish)
tikv
Distributed transactional key-value database, originally created to complement TiDB (by tikv)

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Awesome-Rust-MachineLearning | tikv | |
---|---|---|
5 | 25 | |
2,137 | 15,982 | |
2.9% | 0.8% | |
0.0 | 9.5 | |
almost 2 years ago | 6 days ago | |
JavaScript | Rust | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Awesome-Rust-MachineLearning
Posts with mentions or reviews of Awesome-Rust-MachineLearning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-02.
-
Performance critical ML: How viable is Rust as an alternative to C++
There’s an awesome-git list for a bunch of ML rust stuff not sure how up to date it is as well https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning … not mine
-
Machine Learning Inference Server in Rust?
I am looking for something like [Triton Inference Server](https://github.com/triton-inference-server/server) or [TFX Serving](https://www.tensorflow.org/tfx/guide/serving), but in Rust. I came across [Orkon](https://github.com/vertexclique/orkhon) which seems to be dormant and a bunch of examples off of the [Awesome-Rust-MachineLearning](https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning)
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Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
There's also https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning
- I wanted to share my experience of Rust as a deep learning researcher
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Awesome Rewrite It In Rust - A curated list of replacements for existing software written in Rust
I saw Awesome-Rust-MachineLearning. It have something replacements from Python.
tikv
Posts with mentions or reviews of tikv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-07-01.
-
ToplingDB – the compatible superior replacement for RocksDB
https://github.com/tikv/tikv - Distributed, transactional, key value store. Originally by the same company as TiDB.
In theory you could use it as an in-process KV store similar to how SQLite provides an in process sql database, but the api is far from ergonomic for that use case.
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TiDB – cloud-native, distributed SQL database written in Go
If you’re looking for the TiKV project link: https://github.com/tikv/tikv
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Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) are designed. Instead of relying on a specific consensus implementation, we have decided to encapsulate this part into a virtual log (inspired by Delos https://www.usenix.org/system/files/osdi20-balakrishnan.pdf) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log implementation to another. Apart from that the whole system design has been influenced by ideas from stream processing systems such as Apache Flink (https://flink.apache.org/), log storage systems such as LogDevice (https://logdevice.io/) and others.
We plan to publish a more detailed follow-up blog post where we explain why we developed a new stateful system, how we implemented it, and what the benefits are. Stay tuned!
-
just wanted to ask is there an in memory database that uses s3 or gcp cloud storage as permanent storage
I know that very similar functionality to this is in TiDB Serverless ( https://tidbcloud.com ). TiDB is a distributed relational database. It uses TiKV ( which is a key/value engine ) as the storage engine. You could use SQL to access your K/V records. There is ongoing work in TiKV to support S3 directly as the storage backend ( https://github.com/tikv/tikv/issues/6506 ) .
- Implementing a distributed key-value store on top of implementing Raft in Go
- Production grade databases in Rust
- Can anyone recommend tikv nosql database
- Go devs that learned Rust, what are your thoughts on it?
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Apache Pegasus – A a distributed key-value storage system
TiKV is basically a layer on top of rocksdb https://github.com/tikv/tikv/blob/956610725039835557e7516828...
- TiKV is a highly scalable, low latency, and easy to use key-value database
What are some alternatives?
When comparing Awesome-Rust-MachineLearning and tikv you can also consider the following projects:
linfa - A Rust machine learning framework.
mysql-proxy-rs - A highly scalable MySQL Proxy framework written in Rust
are-we-learning-yet - How ready is Rust for Machine Learning?
linkerd2-proxy - A purpose-built proxy for the Linkerd service mesh. Written in Rust.
neuronika - Tensors and dynamic neural networks in pure Rust.
redis-rs - Redis library for rust

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