manjaro-linux VS getting-started-with-genomics-tools-and-resources

Compare manjaro-linux vs getting-started-with-genomics-tools-and-resources and see what are their differences.

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manjaro-linux getting-started-with-genomics-tools-and-resources
2 2
90 1,061
- -
4.8 4.8
2 months ago 15 days ago
Shell Shell
MIT License -
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.

manjaro-linux

Posts with mentions or reviews of manjaro-linux. We have used some of these posts to build our list of alternatives and similar projects.
  • Pinyin input method
    1 project | /r/ManjaroLinux | 3 Oct 2021
    I used this fella's script and so far it's working fine.
  • Chinese (simplified) pinyin input
    1 project | /r/ManjaroLinux | 9 Aug 2021
    I tried following this script and also this Manjaro forums post. After restarting, I see the Input Method Configuration icon in the top right tray with options to "Switch to Traditional Chinese". However, my keyboard inputs are all still in English.

getting-started-with-genomics-tools-and-resources

Posts with mentions or reviews of getting-started-with-genomics-tools-and-resources. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing manjaro-linux and getting-started-with-genomics-tools-and-resources you can also consider the following projects:

Data-science-best-resources - Carefully curated resource links for data science in one place

scanpy - Single-cell analysis in Python. Scales to >1M cells.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

bioconda-recipes - Conda recipes for the bioconda channel.

sh - A set of bash shell scripts to setup and manage a simple Mail, Web and DNS server using either Ubuntu, Manjaro, Alpine or Debian (WIP)

biowasm - WebAssembly modules for genomics

python-geospatial - A collection of Python packages for geospatial analysis with binder-ready notebook examples

TeamTeri - Bioinformatics on GCP, AWS or Azure

Keras - Deep Learning for humans

metaflow-on-kubernetes-docs - Documentation For Running Metaflow on Kubernetes

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

dash - Data Apps & Dashboards for Python. No JavaScript Required.