howdoi VS antlir

Compare howdoi vs antlir and see what are their differences.

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howdoi antlir
12 1
10,437 65
- -
3.4 9.9
4 months ago about 21 hours ago
Python Rust
MIT License 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.

howdoi

Posts with mentions or reviews of howdoi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.

antlir

Posts with mentions or reviews of antlir. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.

What are some alternatives?

When comparing howdoi and antlir you can also consider the following projects:

thefuck - Magnificent app which corrects your previous console command.

Terrabuzz - Social media based on connecting users on the basis of interests, integrating a system of news-feed, following/followers, notifications, profile updates, and a basic settings page

httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.

amplify-cli - The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.

qbatch

awesome-readme - A curated list of awesome READMEs

Focus Phase - A simple yet powerful timer and time tracker from the command line. https://ammar1y.github.io/Focus-Phase/

mapillary-python-sdk - A Python 3 library built on the Mapillary API v4 to facilitate retrieving and working with Mapillary data.

bashplotlib - plotting in the terminal

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

try - Dead simple CLI tool to try Python packages - It's never been easier! :package:

percol - adds flavor of interactive filtering to the traditional pipe concept of UNIX shell