surrealdb
PyO3
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surrealdb | PyO3 | |
---|---|---|
93 | 147 | |
25,191 | 10,997 | |
2.3% | 4.4% | |
9.8 | 9.8 | |
4 days ago | 5 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
surrealdb
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Show HN: I made a tool to easily compare pricing of developer tools and services
you should add https://surrealdb.com -- basically an open source firebase. and they will launch a paid cloud offering soon.
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Task tracker application using NextJS and SurrealDB
In this article, I have shared how I have built a simple task-tracking full-stack application using NextJS and SurrealDB.
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The one thing I do not like about the Nix package manager (and a fix for it)
In this article, I'll show you how you can create a binary package for your desired program. I wanted to download the SurrealDB package, but the package on nix was a source package, meaning that I had to spend over 50 minutes waiting for a stupid package to compile.
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2024 Web Development Wish List
Get Cloud Version going!
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Live Queries in Rust
SurrealDB comes with a LIVE SELECT statement that allows you to listen for creations, updates and deletions to specific records you are interested in or entire tables. While you could already take advantage of this powerful feature with our JavaScript SDK or WebSockets, the Rust SDK added an API for it in v1.1.0. The Rust API for live queries builds on top of the already existing select method by simply adding a live method which converts the select query into a live select one. It works seamlessly with our current API, so you can use it with single records, a range of records, or entire tables. Unlike the normal select method which returns either a single result or a vector of results, it returns a stream of notifications. This works for the WebSocket engine and the local ones (the key value stores you can embed in your app). The only engine not yet supported is the HTTP one. In this article, we show some examples of running live queries via the Rust SDK. We will skip imports for brevity but your IDE and/or the Rust compiler should give you the correct suggestions. Please refer to this example in our repo for a full, working example.
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SurrealDB 1.0
1.0 version but https://github.com/surrealdb/surrealdb/issues/1548 is still open :)
- SurrealDB Dependents
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How to Design a SurrealDB schema and create a basic client for TypeScript
In the midst of a dynamic landscape of exciting new projects, one name shines bright — SurrealDB.
- SurrealDB 1.0 Live
- SurrealDB the Scalable Rust SQL/NoSQL/Graph DB Released v1.0.0 Today
PyO3
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Encapsulation in Rust and Python
Integrating Rust into Python, Edward Wright, 2021-04-12 Examples for making rustpython run actual python code Calling Rust from Python using PyO3 Writing Python inside your Rust code — Part 1, 2020-04-17 RustPython, RustPython Rust for Python developers: Using Rust to optimize your Python code PyO3 (Rust bindings for Python) Musing About Pythonic Design Patterns In Rust, Teddy Rendahl, 2023-07-14
- Rust Bindings for the Python Interpreter
- Polars – A bird's eye view of Polars
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
- Segunda linguagem
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Calling Rust from Python
I would not recommend FFI + ctypes. Maintaining the bindings is tedious and error-prone. Also, Rust FFI/unsafe can be tricky even for experienced Rust devs.
Instead PyO3 [1] lets you "write a native Python module in Rust", and it works great. A much better choice IMO.
[1] https://github.com/PyO3/pyo3
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Python 3.12
Same w/ Rust and Python, this is really neat because now each thread could have a GIL without doing exactly what you said. The pyO3 commit to allow subinterpreters was merged 21 days ago, so this might "just work" today: https://github.com/PyO3/pyo3/pull/3446
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Removing Garbage Collection from the Rust Language (2013)
I expected someone to write a rust-based scripting language which tightly integrated with rust itself.
In reality, it seems like the python developers and toolchain are embracing rust enough to reduce the benefits to a new alternative.
https://github.com/PyO3/pyo3
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Bytewax: Stream processing library built using Python and Rust
Hey HN! I am one of the people working on Bytewax. Bytewax came out of our experience working with ML infrastructure at GitHub. We wanted to use Python because we could move fast, the team was very fluent in it, and the rest of our tooling was Python-native already. We didn't want to introduce JVM-based solutions into our stack because of the lack of experience and the friction we had trying to get Python-centric tooling working with existing solutions like Flink.
In our research, we found Timely Dataflow (https://timelydataflow.github.io/timely-dataflow/, https://news.ycombinator.com/item?id=24837031) and the Naiad project (https://www.microsoft.com/en-us/research/project/naiad/) as well as PyO3 (https://github.com/PyO3/pyo3) and we thought we found a match made in heaven :). Bytewax leverages both of these projects and builds on them to provide a clean API (at least we think so) and table stakes features like connectors, state recovery, and cloud-native scaling. It has been really cool to learn about the dataflow computation model, Rust, and how to wrangle the GIL with Rust and Python :P.
Would love to get your feedback :).
`pip install bytewax` to get started. We have a page of guides (https://www.bytewax.io/guides) with ready-to-run examples.
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Tell HN: Rust Is the Superglue
You can practice your Rust skills by writing performant and/or gluey extensions for higher-level language such as NodeJS (checkout napi-rs) and Python or complementing JS in the browser if you target Webassembly.
For instance, checkout Llama-node https://github.com/Atome-FE/llama-node for an involved Rust-based NodeJS extension. Python has PyO3, a Rust-Python extension toolset: https://github.com/PyO3/pyo3.
They can help you leverage your Rust for writing cool new stuff.
What are some alternatives?
pocketbase - Open Source realtime backend in 1 file
rust-cpython - Rust <-> Python bindings
tikv - Distributed transactional key-value database, originally created to complement TiDB
pybind11 - Seamless operability between C++11 and Python
neon - Rust bindings for writing safe and fast native Node.js modules.
RustPython - A Python Interpreter written in Rust
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
drizzle-orm - Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too 😅
bincode - A binary encoder / decoder implementation in Rust.
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
uniffi-rs - a multi-language bindings generator for rust