bashplotlib
plotting in the terminal (by glamp)
cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects. (by cookiecutter)
| bashplotlib | cookiecutter | |
|---|---|---|
| 2 | 62 | |
| 1,918 | 24,938 | |
| 0.0% | 0.4% | |
| 0.0 | 8.5 | |
| almost 2 years ago | 3 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
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.
bashplotlib
Posts with mentions or reviews of bashplotlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-26.
cookiecutter
Posts with mentions or reviews of cookiecutter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-12-09.
-
suppa - one command to dive into the Android SDK
See the cookiecutter repo to familiarize yourself with this CLI.
- Modern Python Boilerplate – good package basic structure
- Cookiecutter: A utility that creates projects from project templates
-
Crafting a Custom SAM Template for Your AWS Lambda Function, Resource, and Operations
AWS SAM is the native tools that help manage and handle serverless components and resources with predefined template powered by Cloudformation and cookiecutter that allow you to quickstart project with templates base on different use-case Before going to craft with custom template on your own I will show you how to get start working with aws predefined template first
- Cross-platform command-line utility to create projects from templates
-
Converging project boilerplates with copier
If you are coming from python like I am then you may already be familiar with cookiecutter. I have been in the situation a few times where it might have made sense to use it, but every time it was a matter of balancing out the timeline and trying to stay away from over engineering.
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Ask HN: How do you bootstrap your software projects?
Sometimes I use this to abstract boilerplate https://github.com/cookiecutter/cookiecutter
It can use a repo as a template.
It supports some interactive questions to choose options but mostly it is jinja templates.
Having libraries would be another option.
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FastStream: Python's framework for Efficient Message Queue Handling
Install the cookiecutter package using the following command:
-
Template for Django Projects
Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)
- Rmarkdown/Github project organization question
What are some alternatives?
When comparing bashplotlib and cookiecutter you can also consider the following projects:
howdoi - instant coding answers via the command line
copier - Library and command-line utility for rendering projects templates.
PathPicker - PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
try - Dead simple CLI tool to try Python packages - It's never been easier! :package:
doitlive - Because sometimes you need to do it live
qbatch