antlir
awesome-readme
| antlir | awesome-readme | |
|---|---|---|
| 1 | 30 | |
| 67 | 16,961 | |
| - | - | |
| 9.9 | 6.9 | |
| 3 days ago | 6 days ago | |
| Rust | ||
| 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.
antlir
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MLH, Open Source, Mapillary & Me
Facebook's Antlir VM - Antlir can reproducibly build, test, and run OS images for containers and hosts.
awesome-readme
- Readme: A Curated List of READMEs
- Awesome Readme: A Curated List of READMEs
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Hacktoberfest 2023 Update from Maintainer of the user-statistician GitHub Action
About user-statistician
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Hacktoberfest 2023 Contributors Wanted: Additional Translations for the user-statistician GitHub Action
The user-statistician GitHub Action can generate an SVG with a detailed summary of your activity on GitHub. It is mentioned in the tools section of the awesome README awesome list. The SVG it generates includes general information about you (e.g., year you joined, number of followers, number you are following, most starred repository, etc), information about your repositories (e.g., numbers of stars and forks, etc), information about your contributions (e.g., numbers of commits, issues, PRs, etc), and the distribution of languages within your public repositories.
- Mastering Readme Files
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Marketing for Developers
If you really want a stellar README.md take a look at some of the examples in awesome-readme for inspiration!
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How to Create the Best README for Your GitHub Project
Awesome README - A collection of high-quality READMEs from a variety of projects, organized by topic. https://github.com/matiassingers/awesome-readme
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How to create projects for myself to enrich my resume?
Provide a succinct and comprehensive README: readers of your personal project will always start with the README to know where to begin. The goal of the README is to provide the reader an understanding of the business problem you are trying to solve, how your solution goes about solving it (solution architecture diagram), and how to get started and run your code. There are plenty of great README examples here: https://github.com/matiassingers/awesome-readme
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Configuring GitHub's Linguist to Improve Repository Language Reporting
About user-statistician
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The user-statistician GitHub Action mentioned in Awesome-README
Recently, the user-statistician GitHub Action was added to the tools section of Awesome README, which is an Awesome List that includes a curated collection of examples of Awesome READMEs from open source projects, as well as tools enabling creating Awesome READMEs. The Awesome README list is a great place to go if you are looking for ideas for how to improve the READMEs of your open source projects. The Awesome README list covers READMEs more generally, but the tools section includes a few tools focused on Profile READMEs, in addition to many tools for project READMEs more generally. The user-statistician GitHub Action is in the Tools Section.
What are some alternatives?
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
revo-grid - Powerful virtual data grid smartsheet with advanced customization. Best features from excel plus incredible performance 🔋
amplify-cli - The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
Konva - Konva.js is an HTML5 Canvas JavaScript framework that extends the 2d context by enabling canvas interactivity for desktop and mobile applications.
mapillary-python-sdk - A Python 3 library built on the Mapillary API v4 to facilitate retrieving and working with Mapillary data.
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. [Moved to: https://github.com/apache/age]
howdoi - instant coding answers via the command line
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!
spring-rest-crud-example - Use this repository as a basis to start the development of a new Java REST API.
minio-py - MinIO Client SDK for Python