A look at the Mojo language for bioinformatics

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  1. BlazeSeq

    Am I missing something? In the git repository [0] it says:

    > needletail_benchmark folder was compiled using the command cargo build --release and ran using the following command ./target/release/ .

    Or are you talking about something else here?

    [0] https://github.com/MoSafi2/MojoFastTrim

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
  3. plotnine

    A Grammar of Graphics for Python

    To your last point, have you tried plotnine? It's meant to be ggplot2 for python.

    https://github.com/has2k1/plotnine

  4. mmtk-julia

    Julia binding for MMTk

    There's work on porting MMTk to Julia, which will provide some well written GCs: https://github.com/mmtk/mmtk-julia

  5. gonomics

    A collection of genomics software tools written in Go (golang).

    I've been thinking to learn Rust for these use cases, but always get frustrated with the complexity.

    I find Go is a great middle-ground though! And now there starts to be a few more bio-related tools and toolkits out there, including:

    - https://github.com/vertgenlab/gonomics

    - https://github.com/biogo/biogo

    - https://github.com/shenwei356/bio

    ... except from there being some really popular bio tools written in Go, like:

    - https://github.com/shenwei356/seqkit

  6. biogo

    biogo is a bioinformatics library for Go

    I've been thinking to learn Rust for these use cases, but always get frustrated with the complexity.

    I find Go is a great middle-ground though! And now there starts to be a few more bio-related tools and toolkits out there, including:

    - https://github.com/vertgenlab/gonomics

    - https://github.com/biogo/biogo

    - https://github.com/shenwei356/bio

    ... except from there being some really popular bio tools written in Go, like:

    - https://github.com/shenwei356/seqkit

  7. bio

    A lightweight and high-performance bioinformatics package in Golang (by shenwei356)

    I've been thinking to learn Rust for these use cases, but always get frustrated with the complexity.

    I find Go is a great middle-ground though! And now there starts to be a few more bio-related tools and toolkits out there, including:

    - https://github.com/vertgenlab/gonomics

    - https://github.com/biogo/biogo

    - https://github.com/shenwei356/bio

    ... except from there being some really popular bio tools written in Go, like:

    - https://github.com/shenwei356/seqkit

  8. seqkit

    A cross-platform and ultrafast toolkit for FASTA/Q file manipulation

    I've been thinking to learn Rust for these use cases, but always get frustrated with the complexity.

    I find Go is a great middle-ground though! And now there starts to be a few more bio-related tools and toolkits out there, including:

    - https://github.com/vertgenlab/gonomics

    - https://github.com/biogo/biogo

    - https://github.com/shenwei356/bio

    ... except from there being some really popular bio tools written in Go, like:

    - https://github.com/shenwei356/seqkit

  9. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Contributing to Other Open Source Projects - Week 2

    2 projects | dev.to | 15 Oct 2024
  • Scientific Visualization: Python and Matplotlib, by Nicolas Rougier

    7 projects | news.ycombinator.com | 17 Sep 2024
  • Show HN: Embedded our open-source charting lib into a no-code storytelling tool

    2 projects | news.ycombinator.com | 27 Jun 2024
  • Go-recipes: Tools for Go projects

    1 project | news.ycombinator.com | 1 Jun 2024
  • Chinchilla Scaling: A Replication Attempt

    1 project | news.ycombinator.com | 19 Apr 2024

Did you know that Go is
the 4th most popular programming language
based on number of references?