| evcxr | IRust | |
|---|---|---|
| 80 | 3 | |
| 5,812 | 657 | |
| 1.6% | 2.0% | |
| 7.0 | 8.1 | |
| 22 days ago | 12 days ago | |
| Rust | Rust | |
| GNU General Public License v3.0 or later | MIT License |
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.
evcxr
- Is Rust a good fit for business apps?
-
New Horizons for Julia
https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m...
There is this if we really want a rust repl
- An Implementation of Eval() for Rust
- evcxr Rust REPL
-
Generics in Rust: visualizing Bezier curves in a Jupyter notebook -- Part 3
A project for Rust REPL environment is a combination of letter evxvr (Evaluation Context for Rust). It contains Evcxr Jupyter kernel. I chose to follow the documentation and compile Jupyter kernel from Rust sources (which takes about 6 min on my laptop), and simply run in Microsoft Windows PowerShell
-
Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
-
Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
-
The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
IRust
-
What are some stuff that Rust isn't good at?
irust?
- IRust: Cross Platform Rust REPL
-
Val on Programming: What makes a good REPL?
Something I've been thinking a lot about for Rust is what can and should a REPL experience be for a compiled language (ie what are reasonable compromises).
There seem to be two repls that haven't gotten much traction:
- https://github.com/google/evcxr/blob/main/evcxr_repl/README....
- https://github.com/sigmaSd/IRust
There have been little and big nits that have held me back from wanting to push these further, including
- Bad defaults (having to opt-in to panic handling)
- Command syntax feeling out of place and likely not beginner friendly
- Limits on variable preservation
- Lack of introspection (at least irust as `:type`)
So far I've been punting on wanting to improve this area by instead focusing on polishing up a rust script solution in the hopes of getting it merged: https://github.com/epage/cargo-script-mvs
What are some alternatives?
vscode-jupyter - VS Code Jupyter extension
job-hunt-rust - A locally run and customisable recent job aggregator with in-memory datastore, query language (JHQL), and REPL.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
soli - Solidity REPL
iron.nvim - Interactive Repl Over Neovim
cargo-script-mvs - Pre-RFC for merging cargo-script into cargo