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The best alternatives to Awesome Python are Google, Learning Django Web Development, and Tiny Startups. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to Awesome Python
- Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
- From idea to prototype, a learner guide for Django web dev
- Tiny Startups is a curated database and newsletter featuring the best tiny startups and micro-SaaS. Handpicked from around the web. Carefully curated by a human.
- A community for sharing curated list of open source projects to contribute, Join & share your work.
- Libraries.io indexes data from 2,394,059 projects from 33 package managers. We monitor project releases, analyse each project's code, community, distribution and documentation, and we map the relationships between projects when they're declared as a dependency. The 'dependency tree' that emerges is the core of the services that we provide.
- Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.
- A free, fast, and reliable Open Source CDN for npm and GitHub with the largest network and best performance among all CDNs. Serving more than 40 billion requests per month.
- A repository of open source projects built using Laravel
- A lot of developers have heard the advice to "contribute to open source", but it's very difficult to get started. SourceSort aggregates projects that are great for new contributors and adds important metrics that aren't found elsewhere.
- Beautiful sites for Open Source projects
- World's first advanced search engine for open source projects. Explore millions of opensource projects online. Google for opensource projects
- mygoodfirstissue helps you find open source projects with a codebase you are comfortable with. Search for open source projects by the percentage of any language.
- {DISCLAIMER:THIS APP IS ONLY FOR EDUCATIONAL PURPOSE,IF YOU CAUSE ANY HARM TO SOMEONE THROUGH THIS APP WE ARE NOT RESPONSIBLE.}
- PyPOTS is the first (and so far the only) Python toolbox/library specifically designed for data mining and machine learning on partially-observed time series (POTS), namely, incomplete time series with missing values, A.K.A. irregularly-sampled time series.
- You craft the app, we create its demo link.
